E. Evdokimova

3.0k citations
73 papers · 2.2k · h-index 27

Impact in

Papers in

    • Biochemical and Molecular Research 13
    • Protein Structure and Dynamics 11
    • Microbial Metabolic Engineering and Bioproduction 6
    • Enzyme Structure and Function 30

E. Evdokimova

69 papers receiving 2.2k citations

Peers

E. Evdokimova
Comparison fields: 5 of 125
  • Molecular Medicine 248
  • Endocrinology 180
  • Molecular Biology 1.3k
  • Biochemistry 91
  • Biotechnology 108
Replace Benjamin Ezraty with:
Benjamin Ezraty France
T. Skarina Canada
Catherine Duport France
Laurent R. Chiarelli Italy
M.W. Vetting United States
Andrew L. Lovering United Kingdom
Fang Bai China
Béatrice Py France
Clement T. Y. Chan United States
Cédric Orelle France
E. Evdokimova relative to Benjamin Ezraty France Benjamin Ezraty's profile →
Citations per field
00.5×1.5×
Benjamin Ezraty · 1×
Citations per year

Countries citing papers authored by E. Evdokimova

Since Specialization
Citations

This map shows the geographic impact of E. Evdokimova'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. Evdokimova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Evdokimova more than expected).

Fields of papers citing papers by E. Evdokimova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008125
2 2018104
3 2003103
4 200396
5 201695
6 201388
7 200585
8 201583
9 201982
10 200374
11 200574
12 200771
13 201164
14 200363
15 200759
16 201859
17 200350
18 201846
19 202046
20 201343

About E. Evdokimova

E. Evdokimova is a scholar working on Molecular Biology, Materials Chemistry, Molecular Medicine, Infectious Diseases and Organic Chemistry, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (30 papers), Antibiotic Resistance in Bacteria (14 papers), Biochemical and Molecular Research (13 papers), Protein Structure and Dynamics (11 papers), Bacterial Genetics and Biotechnology (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Microbial Natural Products and Biosynthesis (6 papers) and Legionella and Acanthamoeba research (5 papers). The work is most often cited by research in Molecular Medicine (248 citations), Endocrinology (180 citations), Molecular Biology (1.3k citations), Biochemistry (91 citations) and Biotechnology (108 citations). E. Evdokimova has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Alexei Savchenko, P.J. Stogios, A.M. Edwards, T. Skarina, Alexander F. Yakunin, Gerard D. Wright, A. Joachimiak, C.H. Arrowsmith, Greg Brown and B. Nocek. Their work appears in journals such as Journal of Biological Chemistry, Proteins Structure Function and Bioinformatics, Protein Science, Biochemical Journal and Journal of Organometallic Chemistry.

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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