Andrej E. Bugrim

2.1k citations
26 papers · 1.6k · h-index 19

Impact in

Papers in

    • Computational Drug Discovery Methods 7
    • Bioinformatics and Genomic Networks 9
    • Microbial Metabolic Engineering and Bioproduction 6
    • Metabolomics and Mass Spectrometry Studies 4
    • Gene Regulatory Network Analysis 3
    • Gene expression and cancer classification 2

Andrej E. Bugrim

26 papers receiving 1.5k citations

Peers

Andrej E. Bugrim
Comparison fields: 5 of 121
  • Pharmacology 133
  • Computational Theory and Mathematics 259
  • Sensory Systems 68
  • Molecular Biology 935
  • Cancer Research 127
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Citations per year

Countries citing papers authored by Andrej E. Bugrim

Since Specialization
Citations

This map shows the geographic impact of Andrej E. 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 E. 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 E. Bugrim more than expected).

Fields of papers citing papers by Andrej E. Bugrim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrej E. 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 E. Bugrim. The network helps show where Andrej E. Bugrim may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrej E. Bugrim, 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 Andrej E. Bugrim Line = papers co-authored together Andrej E. Bugrim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006214
2 2008165
3 2004153
4 2006115
5 2005114
6 1999101
7 200999
8 200590
9 200589
10 200570
11 199966
12 199764
13 200746
14 201039
15 201938
16 200336
17 201032
18 201031
19 199625
20 200812

About Andrej E. Bugrim

Andrej E. Bugrim is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Computer Networks and Communications and Cell Biology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Gene Regulatory Network Analysis (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Pharmacology (133 citations), Computational Theory and Mathematics (259 citations), Sensory Systems (68 citations), Molecular Biology (935 citations) and Cancer Research (127 citations). Andrej E. 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, Svetlana Yu. Sorokina, A.M. Zhabotinsky and Joel Keizer. Their work appears in journals such as Drug Discovery Today, The Journal of Physical Chemistry, Biophysical Journal, Expert Opinion on Drug Metabolism & Toxicology and Drug Metabolism and Disposition.

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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