Stephan N. Witt
- Molecular Biology top 10%
- Neurology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Physiology top 10%
- Co-authors
- Sergey V. SlepenkovDhaval S. PatelLiudmila S. ChesnokovaShaoxiao WangCheryl DixonClifford A FroelichHarden M. McConnellDavid F. Blair
- Topics
- Heat shock proteins research (25 papers)Parkinson's Disease Mechanisms and Treatments (23 papers)Protein Structure and Dynamics (18 papers)
- Cited by
- AgingNeurologyCell Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Stephan N. Witt
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.2k
- Neurology 415
- Cellular and Molecular Neuroscience 329
- Cell Biology 320
- Physiology 245
Countries citing papers authored by Stephan N. Witt
This map shows the geographic impact of Stephan N. Witt'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 Stephan N. Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan N. Witt more than expected).
Fields of papers citing papers by Stephan N. Witt
This network shows the impact of papers produced by Stephan N. Witt. 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 Stephan N. Witt. The network helps show where Stephan N. Witt may publish in the future.
Co-authorship network of co-authors of Stephan N. Witt
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan N. Witt. A scholar is included among the top collaborators of Stephan N. Witt 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 Stephan N. Witt. Stephan N. Witt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 34 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | Protein chaperones and protection from neurodegenerative diseases | 4 |
| 11 | 32 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 36 | |
| 15 | 71 | |
| 16 | 32 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | The Paradox of Fast Growth Tigers | 4 |
| 20 | 19 |
About Stephan N. Witt
Stephan N. Witt is a scholar working on Neurology, Aging and Cell Biology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Heat shock proteins research (25 papers), Parkinson's Disease Mechanisms and Treatments (23 papers) and Protein Structure and Dynamics (18 papers). The work is most often cited by research in Aging (50 citations), Neurology (415 citations) and Cell Biology (320 citations). Stephan N. Witt has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Sergey V. Slepenkov, Dhaval S. Patel, Liudmila S. Chesnokova, Shaoxiao Wang, Cheryl Dixon, Clifford A Froelich, Harden M. McConnell, David F. Blair, Sunney I. Chan and Zhaojie Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.