Eugene Myshkin

732 citations
13 papers · 574 · 1 hit paper · h-index 9

Impact in

Papers in

Eugene Myshkin

13 papers receiving 563 citations

Eugene Myshkin's Hit Papers

Mapping the single-cell transcriptomic response of murine diabetic kidney disease to therapies 2022 · 176 citations
1760+1+2Years since publication50100150

Peers

Eugene Myshkin
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 181
  • Nephrology 49
  • Pharmacology 59
  • Analytical Chemistry 56
  • Cell Biology 70
Replace Péter Arányi with:
Péter Arányi Hungary
Lubna Hamid Tahtamouni Jordan
Pascal Rigollier Switzerland
Chao-Yuh Yang United States
Monica Andersson Sweden
Mark W. Trumbore United States
Mark Bushfield United Kingdom
Shunsuke Nagao Japan
Grant Wishart United Kingdom
Rong J. Guan United States
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Citations per field
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Citations per year

Countries citing papers authored by Eugene Myshkin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eugene Myshkin Line = papers co-authored together Eugene Myshkin links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Mapping the single-cell transcriptomic response of murine diabetic kidney disease to therapies
Hit paper breakdown →
2022176
2 2012107
3 2009104
4 200557
5 200736
6 200422
7 200319
8 200215
9 200114
10 20258
11 20037
12 20066
13 20033

About Eugene Myshkin

Eugene Myshkin is a scholar working on Cellular and Molecular Neuroscience, Nephrology, Pharmacology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 574 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Photoreceptor and optogenetics research (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Flavonoids in Medical Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (181 citations), Nephrology (49 citations), Pharmacology (59 citations), Analytical Chemistry (56 citations) and Cell Biology (70 citations). Eugene Myshkin has collaborated with scholars based in United States, Spain and Denmark. Frequent co-authors include Lucy A. Waskell, Dermot F. Reilly, Xiang Yao, Tao Chen, Benjamin D. Humphreys, Matthew Douglas Breyer, Matthew M. Rankin, Hao Wu, Haoming Zhang and Hong Guo. Their work appears in journals such as Journal of Biological Chemistry, JCI Insight, Chemical Research in Toxicology, Cell Metabolism 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.

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