Amar Koleti
Impact in
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- Computational Drug Discovery Methods
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 2
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- Scientific Computing and Data Management 2
- Co-authors
- Stephan C. Schürer (6 shared papers)D. Vidović (4 shared papers)Caty Chung (4 shared papers)Uma D. Vempati (3 shared papers)Mario Medvedovic (2 shared papers)Raymond Terryn (2 shared papers)Daniel J. Cooper (2 shared papers)Vasileios Stathias (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Journal of Biomedical Semantics (1 paper)Scientific Data (1 paper)SLAS DISCOVERY (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Amar Koleti
7 papers receiving 394 citations
Peers
Comparison fields: 5 of 71
- Computational Theory and Mathematics 140
- Biophysics 25
- Molecular Biology 275
- Cancer Research 25
- Information Systems and Management 12
Countries citing papers authored by Amar Koleti
This map shows the geographic impact of Amar Koleti'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 Amar Koleti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amar Koleti more than expected).
Fields of papers citing papers by Amar Koleti
This network shows the impact of papers produced by Amar Koleti. 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 Amar Koleti. The network helps show where Amar Koleti may publish in the future.
Co-authors
The 25 scholars most cited alongside Amar Koleti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2020 | 96 | |
| 3 | 2014 | 56 | |
| 4 | 2014 | 55 | |
| 5 | 2014 | 51 | |
| 6 | 2013 | 20 | |
| 7 | 2018 | 16 |
About Amar Koleti
Amar Koleti is a scholar working on Molecular Biology, Information Systems and Management, Computational Theory and Mathematics, Artificial Intelligence and Genetics, having authored 7 papers that have together received 396 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Scientific Computing and Data Management (2 papers), Biomedical Text Mining and Ontologies (2 papers), Computational Drug Discovery Methods (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper) and Environmental Monitoring and Data Management (1 paper). The work is most often cited by research in Computational Theory and Mathematics (140 citations), Biophysics (25 citations), Molecular Biology (275 citations), Cancer Research (25 citations) and Information Systems and Management (12 citations). Amar Koleti has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Stephan C. Schürer, D. Vidović, Caty Chung, Uma D. Vempati, Mario Medvedovic, Raymond Terryn, Daniel J. Cooper, Vasileios Stathias, Avi Ma’ayan and Alexander Lachmann. Their work appears in journals such as Nucleic Acids Research, Journal of Biomedical Semantics, Scientific Data, SLAS DISCOVERY and Frontiers in Genetics.
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.