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 6
- Microbial Metabolic Engineering and Bioproduction 5
- Metabolomics and Mass Spectrometry Studies 3
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 5
- 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
- Biophysical Journal (2 papers)The Journal of Physical Chemistry (2 papers)Drug Discovery Today (2 papers)Physical Review Letters (1 paper)BMC Medical Genomics (1 paper)
- Partner nations
- United StatesRussiaSouth Korea
In The Last Decade
Andrej Bugrim
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 229
- Pharmacology 118
- Sensory Systems 63
- Molecular Biology 837
- Cancer Research 106
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 | 201 | |
| 2 | 2008 | 157 | |
| 3 | 2004 | 138 | |
| 4 | 2006 | 110 | |
| 5 | 2005 | 100 | |
| 6 | 1999 | 95 | |
| 7 | 2009 | 91 | |
| 8 | 2005 | 85 | |
| 9 | 2005 | 77 | |
| 10 | 1999 | 65 | |
| 11 | 2005 | 64 | |
| 12 | 1997 | 59 | |
| 13 | 2007 | 43 | |
| 14 | 2010 | 37 | |
| 15 | 2019 | 36 | |
| 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 Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (229 citations), Pharmacology (118 citations), Sensory Systems (63 citations), Molecular Biology (837 citations) and Cancer Research (106 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 Biophysical Journal, The Journal of Physical Chemistry, Drug Discovery Today, Physical Review Letters and BMC Medical Genomics.
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.