A.T. Gudkov

1.6k citations
54 papers · 1.3k indexed · h-index 22

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Protein Structure and Dynamics

Papers in

    • Antimicrobial Peptides and Activities 8
    • RNA and protein synthesis mechanisms 42
    • RNA modifications and cancer 14
    • Protein Structure and Dynamics 7
    • RNA Research and Splicing 6

A.T. Gudkov

54 papers receiving 1.3k citations

Peers

A.T. Gudkov
Comparison fields: 5 of 80
  • Molecular Biology 1.2k
  • Microbiology 82
  • Genetics 345
  • Biotechnology 62
  • Immunology 116
Replace A.S. Girshovich with:
A.S. Girshovich Russia
James L’Italien United States
Hans Uffe Sperling‐Petersen Denmark
John S. McCarty United States
P R Waller United States
Li‐Ming Changchien United States
Alfredo Torres‐Larios Mexico
C. Mark Fletcher United States
Hideji Yoshida Japan
Carlos Fernández‐Tornero Spain
A.T. Gudkov relative to A.S. Girshovich Russia A.S. Girshovich's profile →
Citations per field
00.5×4.3×
A.S. Girshovich · 1×
Citations per year

Countries citing papers authored by A.T. Gudkov

Since Specialization
Citations

This map shows the geographic impact of A.T. Gudkov'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 A.T. Gudkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.T. Gudkov more than expected).

Fields of papers citing papers by A.T. Gudkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.T. Gudkov. 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 A.T. Gudkov. The network helps show where A.T. Gudkov may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200712
2 200517
3 200550
4 200486
5 200120
6 200152
7 200024
8 2000125
9 199929
10 199819
11 199755
12 199658
13 199514
14 19926
15 199212
16 199217
17 199116
18 19903
19 198929
20 198743

About A.T. Gudkov

A.T. Gudkov is a scholar working on Microbiology, Molecular Biology, Immunology, Genetics and Spectroscopy, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (42 papers), RNA modifications and cancer (14 papers), Bacterial Genetics and Biotechnology (11 papers), Antimicrobial Peptides and Activities (8 papers), Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (7 papers), Toxin Mechanisms and Immunotoxins (7 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Microbiology (82 citations), Genetics (345 citations), Biotechnology (62 citations) and Immunology (116 citations). A.T. Gudkov has collaborated with scholars based in Russia, Sweden and United States. Frequent co-authors include Kirill A. Martemyanov, Anders Liljas, G. M. Gongadze, Alexander S. Spirin, Eduard V. Bocharov, Mikhail Bubunenko, Derek T. Logan, Ranvir Singh, Sebastian Hansson and Vladimir N. Uversky. Their work appears in journals such as FEBS Letters, Protein Engineering Design and Selection, Biochimie, Journal of Biological Chemistry and Journal of Molecular 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.

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