Igor Levchenko
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- Heat shock proteins research
Papers in
-
- DNA Repair Mechanisms 7
- RNA and protein synthesis mechanisms 7
- Ubiquitin and proteasome pathways 6
- Protein Structure and Dynamics 4
- Genetics 15
- Bacterial Genetics and Biotechnology 14
- Co-authors
- Tania A. Baker (13 shared papers)Robert T. Sauer (10 shared papers)Julia M. Flynn (4 shared papers)Li Luo (1 shared paper)David A. Wah (4 shared papers)Robert A. Grant (3 shared papers)Sue Wickner (1 shared paper)M Yamauchi (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Genes & Development (4 papers)Molecular Cell (2 papers)Gene (2 papers)Cell (2 papers)
- Partner nations
- United StatesTajikistanRussia
In The Last Decade
Igor Levchenko
26 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 78
- Genetics 990
- Molecular Biology 1.9k
- Molecular Medicine 112
- Cell Biology 369
- Endocrinology 106
Countries citing papers authored by Igor Levchenko
This map shows the geographic impact of Igor Levchenko'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 Igor Levchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Levchenko more than expected).
Fields of papers citing papers by Igor Levchenko
This network shows the impact of papers produced by Igor Levchenko. 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 Igor Levchenko. The network helps show where Igor Levchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Levchenko, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 352 | |
| 2 | 2000 | 269 | |
| 3 | 2001 | 243 | |
| 4 | 1995 | 233 | |
| 5 | 2001 | 214 | |
| 6 | 2004 | 163 | |
| 7 | 1997 | 107 | |
| 8 | 1997 | 94 | |
| 9 | 2002 | 85 | |
| 10 | 2003 | 81 | |
| 11 | 2003 | 75 | |
| 12 | 1994 | 46 | |
| 13 | 2012 | 42 | |
| 14 | 2005 | 38 | |
| 15 | 1987 | 30 | |
| 16 | 1988 | 25 | |
| 17 | 1995 | 19 | |
| 18 | 1994 | 18 | |
| 19 | 1994 | 16 | |
| 20 | 1996 | 16 |
About Igor Levchenko
Igor Levchenko is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Oncology, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Enzyme Structure and Function (8 papers), DNA Repair Mechanisms (7 papers), RNA and protein synthesis mechanisms (7 papers), Ubiquitin and proteasome pathways (6 papers), Protein Structure and Dynamics (4 papers), Bacteriophages and microbial interactions (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Genetics (990 citations), Molecular Biology (1.9k citations), Molecular Medicine (112 citations), Cell Biology (369 citations) and Endocrinology (106 citations). Igor Levchenko has collaborated with scholars based in United States, Tajikistan and Russia. Frequent co-authors include Tania A. Baker, Robert T. Sauer, Julia M. Flynn, Li Luo, David A. Wah, Robert A. Grant, Sue Wickner, M Yamauchi, Daniel N. Bolon and Yong‐In Kim. Their work appears in journals such as Nucleic Acids Research, Genes & Development, Molecular Cell, Gene and Cell.
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.