Chemical Informatics |Citations Report.

Chemical Informatics : Citations & Metrics Report

Articles published in Chemical Informatics have been cited by esteemed scholars and scientists all around the world. Chemical Informatics has got h-index 7, which means every article in Chemical Informatics has got 7 average citations.

Following are the list of articles that have cited the articles published in Chemical Informatics.

	2023	2022	2021	2020	2019
Year wise published articles	12	31	41	23	9
Year wise citations received	10	30	36	23	9

Journal total citations count	173
Journal impact factor	1.00
Journal 5 years impact factor	0.87
Journal cite score	0.77
Journal h-index	7
Journal h-index since 2017	6

Journal Impact Factor 2020 formula
IF= Citations(y)/{Publications(y-1)+ Publications(y-2)} Y= Year
Journal 5-year Impact Factor 2020 formula
Citations(2016 + 2017 + 2018 + 2019 + 2020)/ {Published articles(2016 + 2017 + 2018 + 2019 + 2020)}
Journal citescore
Citescore_y = Citations_y + Citations_y-1 + Citations_y-2 + Citations _y-3 / Published articles_y + Published articles_y-1 + Published articles_y-2 + Published articles _y-3

	Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.
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	Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.
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	Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.
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	Forfar LC, Murray PM. Meeting Metal Limits in Pharmaceutical Processes.
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	Teng SY, How BS, Leong WD, Teoh JH, Cheah AC, et al (2019). Principal component analysis-aided statistical process optimisation (PASPO) for process improvement in industrial refineries. J Cleaner Prod. 359-375.
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	Pawar G, Madden JC, Ebbrell D, Firman JW, Cronin MT (2019). In Silico Toxicology Data Resources to Support Read-Across and (Q) SAR. Frontiers in Pharmac. 10.
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	Hanley QS(2019). the Distribution of standard Deviations Applied to High throughput screening. Scientific reports. 9(1):1268.
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	Vu O, Mendenhall J, Altarawy D, Meiler J (2019) . BCL:: Mol2D—a robust atom environment descriptor for QSAR modeling and lead optimization. Journal of computer-aided molecular design.33(5):477-486.
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	Ravoof TB, Crouse KA, Tiekink ER, Tahir MI, Yusof EM, et al (2017). Synthesis, characterisation and biological activities of S-2-or S-4-methylbenzyl-β-N-(di-2-pyridyl) methylenedithiocarbazate and Cu (II), Ni (II), Zn (II) and Cd (II) complexes. Polyhedron. 133:383-92.
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	Muttaqin SS, Maji JS (2018). Screening of Oxamic Acid Similar 3D Structures as Candidate Inhibitor Plasmodium falciparum L-Lactate Dehydrogenase of Malaria Through Molecular Docking. In2018 1st International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering-Bioinformatics and Biomedical Engineering . 1, pp. 1-6. IEEE.
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	Glossman-Mitnik D (2016). Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform. 2:2.
	View at Publisher \| View at Google Scholar
	Rath EC, Gill H, Bai Y (2017). Identification of potential antimicrobials against Salmonella typhimurium and Listeria monocytogenes using Quantitative Structure-Activity Relation modeling. PloS one.12(12):e0189580.
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	Gramatica P, Chirico N, Papa E, Kovarich S, Cassani SQ. QSARINS (QSAR-INSubria).
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	Rath EC. Prevention of Common Pathogens: Development of QuantitativeStructural Activity Relationships for Quaternary Ammonium Compounds againstFoodborne Pathogens and a Computational Analysis of Intergenic sRNA in Streptococcus pyogenes (Doctoral dissertation, Indiana State University).
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	Gramatica P, Chirico N, Papa E, Kovarich S, Cassani SQ. Software for QSAR MLR model development and validation.
	View at Publisher \| View at Google Scholar
	Glossman-Mitnik D (2016). Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform.2:2.
	View at Publisher \| View at Google Scholar

Awards Nomination

Google scholar citation report

Citations : 173

Chemical Informatics received 173 citations as per google scholar report

Abstracted/Indexed in

Google Scholar
China National Knowledge Infrastructure (CNKI)
Directory of Research Journal Indexing (DRJI)
WorldCat
Geneva Foundation for Medical Education and Research
Secret Search Engine Labs
CAS (Chemical Abstracting Services)

30+ Million Website Visitors

90994+ Journal Visitors

Chemical Informatics : Citations & Metrics Report

Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.

Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.

Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.

Forfar LC, Murray PM. Meeting Metal Limits in Pharmaceutical Processes.

Teng SY, How BS, Leong WD, Teoh JH, Cheah AC, et al (2019). Principal component analysis-aided statistical process optimisation (PASPO) for process improvement in industrial refineries. J Cleaner Prod. 359-375.

Pawar G, Madden JC, Ebbrell D, Firman JW, Cronin MT (2019). In Silico Toxicology Data Resources to Support Read-Across and (Q) SAR. Frontiers in Pharmac. 10.

Hanley QS(2019). the Distribution of standard Deviations Applied to High throughput screening. Scientific reports. 9(1):1268.

Vu O, Mendenhall J, Altarawy D, Meiler J (2019) . BCL:: Mol2D—a robust atom environment descriptor for QSAR modeling and lead optimization. Journal of computer-aided molecular design.33(5):477-486.

Ravoof TB, Crouse KA, Tiekink ER, Tahir MI, Yusof EM, et al (2017). Synthesis, characterisation and biological activities of S-2-or S-4-methylbenzyl-β-N-(di-2-pyridyl) methylenedithiocarbazate and Cu (II), Ni (II), Zn (II) and Cd (II) complexes. Polyhedron. 133:383-92.

Glossman-Mitnik D (2016). Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform. 2:2.

Rath EC, Gill H, Bai Y (2017). Identification of potential antimicrobials against Salmonella typhimurium and Listeria monocytogenes using Quantitative Structure-Activity Relation modeling. PloS one.12(12):e0189580.

Gramatica P, Chirico N, Papa E, Kovarich S, Cassani SQ. QSARINS (QSAR-INSubria).

Rath EC. Prevention of Common Pathogens: Development of QuantitativeStructural Activity Relationships for Quaternary Ammonium Compounds againstFoodborne Pathogens and a Computational Analysis of Intergenic sRNA in Streptococcus pyogenes (Doctoral dissertation, Indiana State University).

Gramatica P, Chirico N, Papa E, Kovarich S, Cassani SQ. Software for QSAR MLR model development and validation.

Glossman-Mitnik D (2016). Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform.2:2.

Google scholar citation report

Citations : 173

Abstracted/Indexed in

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90994+ Journal Visitors

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