Stephen C. Kinsky
- Molecular Biology top 5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 10%
- Cell Biology top 5%
- Co-authors
- L.L.M. Van DeenenR.A. DemelC.B. KinskyJames A. HaxbyKeiichi UemuraTatsuji YasudaCarl R. AlvingRobert A. Nicolotti
- Topics
- Lipid Membrane Structure and Behavior (39 papers)RNA Interference and Gene Delivery (24 papers)Erythrocyte Function and Pathophysiology (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAnnual Review of Biochemistry
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Stephen C. Kinsky
72 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.2k
- Immunology 650
- Radiology, Nuclear Medicine and Imaging 333
- Physiology 311
- Cell Biology 245
Countries citing papers authored by Stephen C. Kinsky
This map shows the geographic impact of Stephen C. Kinsky'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 Stephen C. Kinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. Kinsky more than expected).
Fields of papers citing papers by Stephen C. Kinsky
This network shows the impact of papers produced by Stephen C. Kinsky. 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 Stephen C. Kinsky. The network helps show where Stephen C. Kinsky may publish in the future.
Co-authorship network of co-authors of Stephen C. Kinsky
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Kinsky. A scholar is included among the top collaborators of Stephen C. Kinsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen C. Kinsky. Stephen C. Kinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 21 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 22 | |
| 6 | 13 | |
| 7 | 45 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 45 | |
| 11 | 70 | |
| 12 | 75 | |
| 13 | 46 | |
| 14 | 254 | |
| 15 | 3 | |
| 16 | 34 | |
| 17 | 35 | |
| 18 | 66 | |
| 19 | 32 | |
| 20 | 61 |
About Stephen C. Kinsky
Stephen C. Kinsky is a scholar working on Virology, Molecular Biology and Immunology, having authored 72 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (39 papers), RNA Interference and Gene Delivery (24 papers) and Erythrocyte Function and Pathophysiology (6 papers). The work is most often cited by research in Microbiology (201 citations), Molecular Biology (2.2k citations) and Immunology (650 citations). Stephen C. Kinsky has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include L.L.M. Van Deenen, R.A. Demel, C.B. Kinsky, James A. Haxby, Keiichi Uemura, Tatsuji Yasuda, Carl R. Alving, Robert A. Nicolotti, Thomas W. Tillack and David Zopf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annual Review of Biochemistry.
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.