Eugene Myshkin
Impact in
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- Axon Guidance and Neuronal Signaling
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
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- Photosynthetic Processes and Mechanisms 4
- Single-cell and spatial transcriptomics 1
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- Axon Guidance and Neuronal Signaling 4
- Photoreceptor and optogenetics research 2
- Co-authors
- Lucy Waskell (2 shared papers)Binghe Wang (4 shared papers)Haoming Zhang (1 shared paper)Hong Guo (2 shared papers)Hui Miao (2 shared papers)Dermot F. Reilly (2 shared papers)Hao Wu (1 shared paper)Matthew D. Breyer (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Cell Metabolism (1 paper)Protein Engineering Design and Selection (1 paper)EMBO Reports (1 paper)The Journal of Physical Chemistry A (1 paper)
- Partner nations
- United StatesSpainSingapore
In The Last Decade
Eugene Myshkin
14 papers receiving 503 citations
Eugene Myshkin's Hit Papers
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 180
- Nephrology 53
- Pharmacology 55
- Analytical Chemistry 60
- 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 | 137 |
| 2 | 2012 | 102 | |
| 3 | 2009 | 98 | |
| 4 | 2005 | 54 | |
| 5 | 2007 | 34 | |
| 6 | 2004 | 21 | |
| 7 | 2003 | 16 | |
| 8 | 2002 | 13 | |
| 9 | 2001 | 13 | |
| 10 | 2003 | 7 | |
| 11 | 2006 | 6 | |
| 12 | 2025 | 3 | |
| 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 509 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Photoreceptor and optogenetics research (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (180 citations), Nephrology (53 citations), Pharmacology (55 citations), Analytical Chemistry (60 citations) and Cell Biology (73 citations). Eugene Myshkin has collaborated with scholars based in United States, Spain and Singapore. Frequent co-authors include Lucy Waskell, Binghe Wang, Haoming Zhang, Hong Guo, Hui Miao, Dermot F. Reilly, Hao Wu, Matthew D. Breyer, Benjamin D. Humphreys and Xiang Yao. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Protein Engineering Design and Selection, EMBO Reports and The Journal of Physical Chemistry A.
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.