Eugene Myshkin
Impact in
-
- Axon Guidance and Neuronal Signaling
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Photosynthetic Processes and Mechanisms 4
-
- Axon Guidance and Neuronal Signaling 4
- Photoreceptor and optogenetics research 2
- Co-authors
- Lucy Waskell (2 shared papers)Haoming Zhang (1 shared paper)Dermot F. Reilly (2 shared papers)Benjamin D. Humphreys (1 shared paper)Xiang Yao (1 shared paper)Matthew M. Rankin (1 shared paper)Hui Miao (2 shared papers)Hong Guo (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Cell Metabolism (1 paper)Protein Engineering Design and Selection (1 paper)Biochemical and Biophysical Research Communications (1 paper)EMBO Reports (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Eugene Myshkin
14 papers receiving 542 citations
Eugene Myshkin's Hit Papers
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 184
- Pharmacology 59
- Nephrology 43
- Analytical Chemistry 55
- Cell Biology 73
Countries citing papers authored by Eugene Myshkin
This map shows the geographic impact of Eugene Myshkin'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 Eugene Myshkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Myshkin more than expected).
Fields of papers citing papers by Eugene Myshkin
This network shows the impact of papers produced by Eugene Myshkin. 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 Eugene Myshkin. The network helps show where Eugene Myshkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Myshkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the single-cell transcriptomic response of murine diabetic kidney disease to therapies Hit paper breakdown → | 2022 | 156 |
| 2 | 2012 | 104 | |
| 3 | 2009 | 102 | |
| 4 | 2005 | 56 | |
| 5 | 2007 | 36 | |
| 6 | 2004 | 22 | |
| 7 | 2003 | 21 | |
| 8 | 2002 | 15 | |
| 9 | 2001 | 14 | |
| 10 | 2003 | 7 | |
| 11 | 2006 | 6 | |
| 12 | 2025 | 4 | |
| 13 | 2003 | 3 | |
| 14 | 2003 | 2 |
About Eugene Myshkin
Eugene Myshkin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Nephrology and Computational Theory and Mathematics, having authored 14 papers that have together received 548 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Photoreceptor and optogenetics research (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (184 citations), Pharmacology (59 citations), Nephrology (43 citations), Analytical Chemistry (55 citations) and Cell Biology (73 citations). Eugene Myshkin has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Lucy Waskell, Haoming Zhang, Dermot F. Reilly, Benjamin D. Humphreys, Xiang Yao, Matthew M. Rankin, Hui Miao, Hong Guo, Matthew D. Breyer and Hao Wu. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Protein Engineering Design and Selection, Biochemical and Biophysical Research Communications and EMBO Reports.
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.