Kerim Babaoglu

20 papers receiving 1.8k citations

Hit Papers

Validation of Molecular Docking Programs for Virtual Screening against Dihydropteroate Synthase 2009 · 459 citations
4592009202620142020100200300400

Peers

Kerim Babaoglu
Comparison fields: 5 of 106
  • Virology 208
  • Computational Theory and Mathematics 478
  • Molecular Medicine 126
  • Infectious Diseases 412
  • Organic Chemistry 454
Replace Kenichi Akaji with:
Kenichi Akaji Japan
Kevin J. Saliba Australia
Sandra Gemma Italy
David L. Pincus United States
Michael A. Massiah United States
Tuomo Laitinen Finland
Giosuè Costa Italy
Sonia Vega Spain
Maria Letizia Barreca Italy
Mohammad Imran Siddiqi India
Kerim Babaoglu relative to Kenichi Akaji Japan Kenichi Akaji's profile →
Citations per field
00.5×4.8×
Kenichi Akaji · 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 →
2009459
2 2007277
3 2003150
4 2008130
5 2012129
6 2016111
7 200978
8 200975
9 200469
10 201169
11 201056
12 201742
13 200940
14 200734
15 200730
16 201725
17 201923
18 200020
19 201318
20 20032

About Kerim Babaoglu

Kerim Babaoglu is a scholar working on Molecular Medicine, Virology, Infectious Diseases, Computational Theory and Mathematics and Toxicology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), HIV/AIDS drug development and treatment (6 papers), Computational Drug Discovery Methods (5 papers), Antibiotic Resistance in Bacteria (4 papers), HIV Research and Treatment (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Virology (208 citations), Computational Theory and Mathematics (478 citations), Molecular Medicine (126 citations), Infectious Diseases (412 citations) and Organic Chemistry (454 citations). Kerim Babaoglu has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Richard Lee, Stephen W. White, Jianjun Qi, Brian K. Shoichet, Kirk E. Hevener, Wei Zhao, David M. Ball, Anton Simeonov, Brian Y. Feng and Christopher P. Austin. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Journal of Chemical Information and Modeling, JAIDS Journal of Acquired Immune Deficiency Syndromes and Journal of the American Chemical Society.

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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