Irina V. Kovtun

1.9k citations
28 papers · 1.4k indexed · h-index 16
Topics
DNA Repair Mechanisms (12 papers)Genetic Neurodegenerative Diseases (9 papers)Mitochondrial Function and Pathology (7 papers)

In The Last Decade

Irina V. Kovtun

28 papers receiving 1.3k citations

Peers

Irina V. Kovtun
Comparison fields: 5 of 80
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 631
  • Cancer Research 179
  • Genetics 179
  • Pulmonary and Respiratory Medicine 173
Replace Magali Fernandez with:
Magali Fernandez United States
Maria Kontogiannea Canada
Katherine E. Keating United Kingdom
Corinne Bareil France
Jinmin Miao United States
Daniel J. Treacy United States
Indranil Das India
Germano Gaudenzi Italy
Renata Lonigro Italy
Christy J. Fryer United States
Irina V. Kovtun relative to Magali Fernandez United States Magali Fernandez's profile →
Citations per field
00.5×3.3×
Magali Fernandez · 1×
Citations per year

Countries citing papers authored by Irina V. Kovtun

Since Specialization
Citations

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

Fields of papers citing papers by Irina V. Kovtun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina V. Kovtun. 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 Irina V. Kovtun. The network helps show where Irina V. Kovtun may publish in the future.

Co-authorship network of co-authors of Irina V. Kovtun

This figure shows the co-authorship network connecting the top 25 collaborators of Irina V. Kovtun. A scholar is included among the top collaborators of Irina V. Kovtun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irina V. Kovtun. Irina V. Kovtun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 31
3 12
4 47
5 1
6 44
7 14
8 39
9 6
10 8
11 5
12 112
13 354
14 30
15 18
16 10
17 40
18 8
19 59
20 4

About Irina V. Kovtun

Irina V. Kovtun is a scholar working on Cellular and Molecular Neuroscience, Cancer Research and Molecular Biology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), Genetic Neurodegenerative Diseases (9 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (631 citations), Molecular Biology (1.1k citations) and Cancer Research (179 citations). Irina V. Kovtun has collaborated with scholars based in United States, Russia and Norway. Frequent co-authors include Cynthia T. McMurray, Samuel H. Wilson, Magnar Bjørås, Yuan Liu, Arne Klungland, George Vasmatzis, Stephen J. Murphy, Sarah H. Johnson, Farhad Kosari and Geoffrey M. Goellner. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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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