John M. Pawelek
- Cell Biology top 0.1%
- Molecular Biology top 2%
- Nutrition and Dietetics top 0.2%
- Biotechnology top 0.1%
- Dermatology top 0.1%
- Co-authors
- Ann M. KörnerAshok K. ChakrabortyDavid BermudesAndrzej SłomińskiK. Brooks LowGlenda L. WongJean L. BologniaSeth J. Orlow
- Topics
- melanin and skin pigmentation (63 papers)Biochemical Analysis and Sensing Techniques (33 papers)Skin Protection and Aging (21 papers)
- Cited by
- Cell BiologyBiotechnologyDermatology
- Partner nations
- United StatesJapanIran
In The Last Decade
John M. Pawelek
130 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cell Biology 4.2k
- Molecular Biology 3.1k
- Nutrition and Dietetics 2.1k
- Biotechnology 1.8k
- Dermatology 1.7k
Countries citing papers authored by John M. Pawelek
This map shows the geographic impact of John M. Pawelek'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 John M. Pawelek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Pawelek more than expected).
Fields of papers citing papers by John M. Pawelek
This network shows the impact of papers produced by John M. Pawelek. 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 John M. Pawelek. The network helps show where John M. Pawelek may publish in the future.
Co-authorship network of co-authors of John M. Pawelek
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Pawelek. A scholar is included among the top collaborators of John M. Pawelek 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 John M. Pawelek. John M. Pawelek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | Commentary on “Leukocyte-Cancer Cell Fusion-Genesis of a Deadly Journey” | 1 |
| 3 | 6 | |
| 4 | 84 | |
| 5 | 260 | |
| 6 | 376 | |
| 7 | 48 | |
| 8 | 264 | |
| 9 | 36 | |
| 10 | Genetic evidence for tumor-hematopoietic cell hybrids in a human renal cell carcinoma metastasis | 1 |
| 11 | 32 | |
| 12 | 28 | |
| 13 | 49 | |
| 14 | 287 | |
| 15 | 82 | |
| 16 | 99 | |
| 17 | Vesicular membrane glycoproteins and melanosomal biogenesis | 1 |
| 18 | 20 | |
| 19 | 81 | |
| 20 | The biosynthesis of mammalian melanin. | 148 |
About John M. Pawelek
John M. Pawelek is a scholar working on Cell Biology, Dermatology and Biotechnology, having authored 130 papers that have together received 9.3k indexed citations. Recurring topics across this work include melanin and skin pigmentation (63 papers), Biochemical Analysis and Sensing Techniques (33 papers) and Skin Protection and Aging (21 papers). The work is most often cited by research in Cell Biology (4.2k citations), Biotechnology (1.8k citations) and Dermatology (1.7k citations). John M. Pawelek has collaborated with scholars based in United States, Japan and Iran. Frequent co-authors include Ann M. Körner, Ashok K. Chakraborty, David Bermudes, Andrzej Słomiński, K. Brooks Low, Glenda L. Wong, Jean L. Bolognia, Seth J. Orlow, Rossitza Lazova and Michał A. Żmijewski. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.