Mikhail Levit
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
-
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Mechanisms of cancer metastasis
- Lipid Membrane Structure and Behavior
Papers in
-
- Photosynthetic Processes and Mechanisms 2
- Oncology 8
- Peptidase Inhibition and Analysis 4
- Co-authors
- Jeffry B. Stock (8 shared papers)Jeff Stock (2 shared papers)Bozena M. Abramczyk (2 shared papers)Michael G. Surette (2 shared papers)Edith H. Postel (2 shared papers)Thorsten Grebe (1 shared paper)Saw Kyin (1 shared paper)Yi Liu (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Cancer Research (3 papers)Current Biology (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Mikhail Levit
22 papers receiving 765 citations
Peers
Comparison fields: 5 of 70
- Genetics 328
- Molecular Biology 614
- Endocrinology 27
- Cell Biology 69
- Pathology and Forensic Medicine 69
Countries citing papers authored by Mikhail Levit
This map shows the geographic impact of Mikhail Levit'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 Mikhail Levit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Levit more than expected).
Fields of papers citing papers by Mikhail Levit
This network shows the impact of papers produced by Mikhail Levit. 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 Mikhail Levit. The network helps show where Mikhail Levit may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Levit, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 114 | |
| 2 | 2002 | 85 | |
| 3 | 2000 | 82 | |
| 4 | 2002 | 75 | |
| 5 | 1998 | 60 | |
| 6 | 1996 | 56 | |
| 7 | 2020 | 49 | |
| 8 | 1999 | 43 | |
| 9 | 2002 | 39 | |
| 10 | 2002 | 39 | |
| 11 | 2000 | 38 | |
| 12 | 2002 | 31 | |
| 13 | 2016 | 17 | |
| 14 | 2017 | 13 | |
| 15 | 2018 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2017 | 5 | |
| 19 | 2018 | 3 | |
| 20 | 2020 | 2 |
About Mikhail Levit
Mikhail Levit is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Cell Biology, having authored 22 papers that have together received 778 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Cancer Mechanisms and Therapy (6 papers), Peptidase Inhibition and Analysis (4 papers), Cellular transport and secretion (3 papers), MXene and MAX Phase Materials (3 papers), Bacteriophages and microbial interactions (3 papers), Quinazolinone synthesis and applications (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Genetics (328 citations), Molecular Biology (614 citations), Endocrinology (27 citations), Cell Biology (69 citations) and Pathology and Forensic Medicine (69 citations). Mikhail Levit has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Jeffry B. Stock, Jeff Stock, Bozena M. Abramczyk, Michael G. Surette, Edith H. Postel, Thorsten Grebe, Saw Kyin, Yi Liu, Yi Liu and Gudrun S. Lukat. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Cancer Research, Current Biology and Molecular Microbiology.
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.