Jan Witkowski
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- Genomics and Phylogenetic Studies
- Pluripotent Stem Cells Research
Papers in
-
- Muscle Physiology and Disorders 29
- Physiology 10
- Co-authors
- Gareth E. Jones (10 shared papers)W. D. Brighton (2 shared papers)W. Richard McCombie (2 shared papers)Michael C. Schatz (2 shared papers)Victor Dubowitz (11 shared papers)T. J. Horder (1 shared paper)George F. Sensabaugh (1 shared paper)Jack Ballantyne (1 shared paper)
- Journals
- Trends in Biochemical Sciences (15 papers)Nature (10 papers)Journal of the Neurological Sciences (7 papers)Journal of Cell Science (5 papers)Medical History (4 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Jan Witkowski
104 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 157
- Aging 41
- Molecular Biology 824
- Cell Biology 169
- Genetics 92
- Physiology 209
Countries citing papers authored by Jan Witkowski
This map shows the geographic impact of Jan Witkowski'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 Jan Witkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Witkowski more than expected).
Fields of papers citing papers by Jan Witkowski
This network shows the impact of papers produced by Jan Witkowski. 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 Jan Witkowski. The network helps show where Jan Witkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Witkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 141 | |
| 2 | 2014 | 80 | |
| 3 | 1971 | 71 | |
| 4 | 1972 | 71 | |
| 5 | 2012 | 66 | |
| 6 | 1980 | 64 | |
| 7 | 1979 | 56 | |
| 8 | 1983 | 54 | |
| 9 | 1989 | 50 | |
| 10 | 1977 | 41 | |
| 11 | 1979 | 37 | |
| 12 | A History of Embryology | 1986 | 34 |
| 13 | 1986 | 31 | |
| 14 | DNA technology and forensic science | 1989 | 28 |
| 15 | 1986 | 27 | |
| 16 | 1981 | 26 | |
| 17 | 1975 | 25 | |
| 18 | 2002 | 23 | |
| 19 | 1979 | 23 | |
| 20 | 1976 | 23 |
About Jan Witkowski
Jan Witkowski is a scholar working on Molecular Biology, Physiology, Genetics, Electrical and Electronic Engineering and Cell Biology, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (29 papers), Plasma Diagnostics and Applications (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Vacuum and Plasma Arcs (6 papers), Particle accelerators and beam dynamics (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Exercise and Physiological Responses (4 papers). The work is most often cited by research in Aging (41 citations), Molecular Biology (824 citations), Cell Biology (169 citations), Genetics (92 citations) and Physiology (209 citations). Jan Witkowski has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Gareth E. Jones, W. D. Brighton, W. Richard McCombie, Michael C. Schatz, Victor Dubowitz, T. J. Horder, George F. Sensabaugh, Jack Ballantyne, Nita A. Farahany and Kenneth Yocum. Their work appears in journals such as Trends in Biochemical Sciences, Nature, Journal of the Neurological Sciences, Journal of Cell Science and Medical History.
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.