Kerim Babaoglu

20 papers receiving 1.9k citations

Kerim Babaoglu's Hit Papers

Validation of Molecular Docking Programs for Virtual Screening against Dihydropteroate Synthase 2009 · 490 citations
4900+5+11Years since publication100200300400

Peers

Kerim Babaoglu
Comparison fields: 5 of 110
  • Virology 187
  • Computational Theory and Mathematics 492
  • Molecular Medicine 129
  • Infectious Diseases 417
  • Organic Chemistry 470
Replace Kevin J. Saliba with:
Kevin J. Saliba Australia
David L. Pincus United States
Joanne J. Bronson United States
Sandra Gemma Italy
Giosuè Costa Italy
Tuomo Laitinen Finland
Sonia Vega Spain
Michael A. Massiah United States
Pedro A. Valiente Cuba
Kerim Babaoglu relative to Kevin J. Saliba Australia Kevin J. Saliba's profile →
Citations per field
00.5×4.6×
Kevin J. Saliba · 1×
Citations per year

Countries citing papers authored by Kerim Babaoglu

Since Specialization
Citations

This map shows the geographic impact of Kerim Babaoglu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kerim Babaoglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerim Babaoglu more than expected).

Fields of papers citing papers by Kerim Babaoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerim Babaoglu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kerim Babaoglu. The network helps show where Kerim Babaoglu may publish in the future.

Co-authors

The 25 scholars most cited alongside Kerim Babaoglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kerim Babaoglu Line = papers co-authored together Kerim Babaoglu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Validation of Molecular Docking Programs for Virtual Screening against Dihydropteroate Synthase
Hit paper breakdown →
2009490
2 2007290
3 2003154
4 2012137
5 2008137
6 2016122
7 200985
8 200980
9 200472
10 201170
11 201060
12 201746
13 200942
14 200736
15 200732
16 201927
17 201725
18 200021
19 201320
20 20032

About Kerim Babaoglu

Kerim Babaoglu is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Epidemiology and Molecular Medicine, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), Biochemical and Molecular Research (6 papers), Computational Drug Discovery Methods (5 papers), Antibiotic Resistance in Bacteria (4 papers), Pneumonia and Respiratory Infections (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Virology (187 citations), Computational Theory and Mathematics (492 citations), Molecular Medicine (129 citations), Infectious Diseases (417 citations) and Organic Chemistry (470 citations). Kerim Babaoglu has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Richard Lee, Stephen W. White, Jianjun Qi, Kirk E. Hevener, Brian K. Shoichet, Wei Zhao, David M. Ball, Anton Simeonov, Brian Y. Feng and James Inglese. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and Biochemical and Biophysical Research Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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