E.V. Fedorov
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Protein Structure and Dynamics 15
- Biochemical and Molecular Research 11
-
- Enzyme Structure and Function 32
- Co-authors
- Steven C. Almo (58 shared papers)А.А. Федоров (51 shared papers)J.A. Gerlt (18 shared papers)Denis Wirtz (4 shared papers)Yiider Tseng (4 shared papers)Frank M. Raushel (16 shared papers)Patricia C. Babbitt (11 shared papers)Brian K. Shoichet (4 shared papers)
- Journals
- Biochemistry (32 papers)Proceedings of the National Academy of Sciences (5 papers)Journal of Molecular Biology (2 papers)Structure (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
E.V. Fedorov
62 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 128
- Cell Biology 449
- Biochemistry 199
- Molecular Biology 1.6k
- Immunology 431
- Materials Chemistry 678
Countries citing papers authored by E.V. Fedorov
This map shows the geographic impact of E.V. Fedorov'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 E.V. Fedorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.V. Fedorov more than expected).
Fields of papers citing papers by E.V. Fedorov
This network shows the impact of papers produced by E.V. Fedorov. 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 E.V. Fedorov. The network helps show where E.V. Fedorov may publish in the future.
Co-authors
The 25 scholars most cited alongside E.V. Fedorov, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 213 | |
| 2 | 2007 | 186 | |
| 3 | 2000 | 180 | |
| 4 | 2000 | 172 | |
| 5 | 2018 | 126 | |
| 6 | 2001 | 113 | |
| 7 | 2005 | 96 | |
| 8 | 1999 | 93 | |
| 9 | 1999 | 93 | |
| 10 | 2006 | 80 | |
| 11 | 2007 | 76 | |
| 12 | 2010 | 72 | |
| 13 | 2007 | 63 | |
| 14 | 2006 | 60 | |
| 15 | 2009 | 56 | |
| 16 | 2019 | 49 | |
| 17 | 2007 | 48 | |
| 18 | 2008 | 48 | |
| 19 | 2012 | 45 | |
| 20 | 1996 | 45 |
About E.V. Fedorov
E.V. Fedorov is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Biochemistry and Oncology, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (32 papers), Protein Structure and Dynamics (15 papers), Biochemical and Molecular Research (11 papers), Amino Acid Enzymes and Metabolism (9 papers), Cellular Mechanics and Interactions (9 papers), Diet, Metabolism, and Disease (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Cell Biology (449 citations), Biochemistry (199 citations), Molecular Biology (1.6k citations), Immunology (431 citations) and Materials Chemistry (678 citations). E.V. Fedorov has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Steven C. Almo, А.А. Федоров, J.A. Gerlt, Denis Wirtz, Yiider Tseng, Frank M. Raushel, Patricia C. Babbitt, Brian K. Shoichet, U.A. Ramagopal and Ricardo Martí‐Arbona. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Structure 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.