Andrej Bugrim
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in ⓘ
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- Bioinformatics and Genomic Networks 9
- Microbial Metabolic Engineering and Bioproduction 5
- Metabolomics and Mass Spectrometry Studies 3
- Gene expression and cancer classification 2
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- Computational Drug Discovery Methods 8
- Co-authors
- Tatiana Nikolskaya (10 shared papers)Yuri Nikolsky (9 shared papers)Sean Ekins (5 shared papers)Eugene Kirillov (5 shared papers)Eugene A. Rakhmatulin (4 shared papers)Irving R. Epstein (4 shared papers)Zoltán Dezső (3 shared papers)S. Yu. Sorokina (2 shared papers)
- Journals
- Drug Discovery Today (2 papers)The Journal of Physical Chemistry (2 papers)Biophysical Journal (2 papers)BMC Medical Genomics (1 paper)BMC Biology (1 paper)
- Partner nations
- United StatesRussiaSouth Korea
In The Last Decade
Andrej Bugrim
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 277
- Pharmacology 127
- Molecular Biology 935
- Sensory Systems 63
- Cancer Research 125
Countries citing papers authored by Andrej Bugrim
This map shows the geographic impact of Andrej Bugrim'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 Andrej Bugrim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Bugrim more than expected).
Fields of papers citing papers by Andrej Bugrim
This network shows the impact of papers produced by Andrej Bugrim. 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 Andrej Bugrim. The network helps show where Andrej Bugrim may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrej Bugrim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 200 | |
| 2 | 2008 | 156 | |
| 3 | 2004 | 138 | |
| 4 | 2006 | 109 | |
| 5 | 2005 | 100 | |
| 6 | 1999 | 95 | |
| 7 | 2009 | 91 | |
| 8 | 2005 | 85 | |
| 9 | 2005 | 76 | |
| 10 | 1999 | 65 | |
| 11 | 2005 | 64 | |
| 12 | 1997 | 59 | |
| 13 | 2007 | 42 | |
| 14 | 2010 | 37 | |
| 15 | 2019 | 35 | |
| 16 | 2003 | 31 | |
| 17 | 2010 | 27 | |
| 18 | 1996 | 23 | |
| 19 | 2007 | 12 | |
| 20 | 2008 | 9 |
About Andrej Bugrim
Andrej Bugrim is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications, Pharmacology and Cell Biology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (277 citations), Pharmacology (127 citations), Molecular Biology (935 citations), Sensory Systems (63 citations) and Cancer Research (125 citations). Andrej Bugrim has collaborated with scholars based in United States, Russia and South Korea. Frequent co-authors include Tatiana Nikolskaya, Yuri Nikolsky, Sean Ekins, Eugene Kirillov, Eugene A. Rakhmatulin, Irving R. Epstein, Zoltán Dezső, S. Yu. Sorokina, A.M. Zhabotinsky and Richard Nuccitelli. Their work appears in journals such as Drug Discovery Today, The Journal of Physical Chemistry, Biophysical Journal, BMC Medical Genomics and BMC Biology.
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.