Michael Degtyarev
- Physiology top 5%
- Adenosine and Purinergic Signaling 2
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling 6
- Receptor Mechanisms and Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Extracellular vesicles in disease 1
- Glycosylation and Glycoproteins Research 1
- Cell Biology top 10%
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- Neuropeptides and Animal Physiology 3
- Epidemiology top 10%
- Autophagy in Disease and Therapy 3
- Co-authors
- Allen M. SpiegelTeresa L.Z. JonesTerry JonesBruce R. ConklinCharles H. RedfernPeter CowardGlenn I. FishmanAnn De Mazière
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Michael Degtyarev
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Physiology 70
- Molecular Biology 869
- Cell Biology 206
- Cellular and Molecular Neuroscience 222
- Epidemiology 259
Countries citing papers authored by Michael Degtyarev
This map shows the geographic impact of Michael Degtyarev'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 Michael Degtyarev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Degtyarev more than expected).
Fields of papers citing papers by Michael Degtyarev
This network shows the impact of papers produced by Michael Degtyarev. 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 Michael Degtyarev. The network helps show where Michael Degtyarev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Degtyarev, 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 | 2014 | 15 | |
| 2 | 2012 | 6 | |
| 3 | 2012 | 2 | |
| 4 | 2009 | 13 | |
| 5 | 2008 | 347 | |
| 6 | 2000 | 134 | |
| 7 | 1999 | 156 | |
| 8 | 1997 | 69 | |
| 9 | 1997 | 41 | |
| 10 | 1994 | 5 | |
| 11 | 1994 | 103 | |
| 12 | 1993 | 85 | |
| 13 | 1993 | 160 |
About Michael Degtyarev
Michael Degtyarev is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Autophagy in Disease and Therapy (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Adenosine and Purinergic Signaling (2 papers), Extracellular vesicles in disease (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Physiology (70 citations), Molecular Biology (869 citations) and Cell Biology (206 citations). Michael Degtyarev has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Allen M. Spiegel, Teresa L.Z. Jones, Terry Jones, Bruce R. Conklin, Allen M. Spiegel, Charles H. Redfern, Peter Coward, Glenn I. Fishman, Ann De Mazière and Kwang‐Huei Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.