D. Stave Kohtz
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Oncology top 10%
- Co-authors
- Caryn ChuMichael P. LisantiPhilipp E. SchererTakashi OkamotoZhaoLan TangKenneth SongJeffrey A. EngelmanIkuo Nishimoto
- Topics
- Cancer-related Molecular Pathways (11 papers)Muscle Physiology and Disorders (9 papers)RNA Research and Splicing (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
D. Stave Kohtz
50 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.6k
- Cell Biology 2.0k
- Physiology 525
- Cardiology and Cardiovascular Medicine 446
- Oncology 423
Countries citing papers authored by D. Stave Kohtz
This map shows the geographic impact of D. Stave Kohtz'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 D. Stave Kohtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Stave Kohtz more than expected).
Fields of papers citing papers by D. Stave Kohtz
This network shows the impact of papers produced by D. Stave Kohtz. 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 D. Stave Kohtz. The network helps show where D. Stave Kohtz may publish in the future.
Co-authorship network of co-authors of D. Stave Kohtz
This figure shows the co-authorship network connecting the top 25 collaborators of D. Stave Kohtz. A scholar is included among the top collaborators of D. Stave Kohtz 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 D. Stave Kohtz. D. Stave Kohtz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 45 | |
| 3 | 31 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 24 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 87 | |
| 10 | 8 | |
| 11 | 150 | |
| 12 | 120 | |
| 13 | 462 | |
| 14 | Molecular Cloning of Caveolin-3, a Novel Member of the Caveolin Gene Family Expressed Predominantly in Musclebreakdown → | 603 |
| 15 | 117 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 7 |
About D. Stave Kohtz
D. Stave Kohtz is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 50 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Muscle Physiology and Disorders (9 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cell Biology (2.0k citations), Molecular Biology (2.6k citations) and Physiology (525 citations). D. Stave Kohtz has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Caryn Chu, Michael P. Lisanti, Philipp E. Scherer, Takashi Okamoto, ZhaoLan Tang, Kenneth Song, Jeffrey A. Engelman, Ikuo Nishimoto, Harvey F. Lodish and Shengwen Calvin Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.