Jon P. Cogan
Impact in
- Cell Biology top 5%
- Skin and Cellular Biology Research
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 13
- Skin and Cellular Biology Research 13
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- Autoimmune Bullous Skin Diseases 8
- Co-authors
- David T. Woodley (14 shared papers)Mei Chen (14 shared papers)Yingping Hou (9 shared papers)Baruch Frenkel (8 shared papers)Gerhard A. Coetzee (4 shared papers)Douglas R. Keene (5 shared papers)Grant S. Buchanan (2 shared papers)Xinyi Wang (3 shared papers)
- Journals
- Journal of Investigative Dermatology (6 papers)Molecular Therapy (2 papers)The Prostate (2 papers)PLoS ONE (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Jon P. Cogan
22 papers receiving 767 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 312
- Immunology and Allergy 54
- Pathology and Forensic Medicine 142
- Cancer Research 77
- Molecular Biology 335
Countries citing papers authored by Jon P. Cogan
This map shows the geographic impact of Jon P. Cogan'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 Jon P. Cogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon P. Cogan more than expected).
Fields of papers citing papers by Jon P. Cogan
This network shows the impact of papers produced by Jon P. Cogan. 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 Jon P. Cogan. The network helps show where Jon P. Cogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon P. Cogan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 119 | |
| 2 | 2017 | 99 | |
| 3 | 2007 | 91 | |
| 4 | 2009 | 61 | |
| 5 | 2014 | 60 | |
| 6 | 2018 | 58 | |
| 7 | 2013 | 43 | |
| 8 | 2020 | 43 | |
| 9 | 2010 | 37 | |
| 10 | 2007 | 33 | |
| 11 | 2015 | 31 | |
| 12 | 2007 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 1979 | 17 | |
| 15 | 2021 | 13 | |
| 16 | 2024 | 10 | |
| 17 | 2008 | 8 | |
| 18 | 2019 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 2 |
About Jon P. Cogan
Jon P. Cogan is a scholar working on Cell Biology, Pathology and Forensic Medicine, Immunology and Allergy, Pulmonary and Respiratory Medicine and Rheumatology, having authored 23 papers that have together received 778 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (13 papers), Autoimmune Bullous Skin Diseases (8 papers), Prostate Cancer Treatment and Research (4 papers), Bone Metabolism and Diseases (3 papers), Cell Adhesion Molecules Research (2 papers), Plant Reproductive Biology (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Cell Biology (312 citations), Immunology and Allergy (54 citations), Pathology and Forensic Medicine (142 citations), Cancer Research (77 citations) and Molecular Biology (335 citations). Jon P. Cogan has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include David T. Woodley, Mei Chen, Yingping Hou, Baruch Frenkel, Gerhard A. Coetzee, Douglas R. Keene, Grant S. Buchanan, Xinyi Wang, Matt Peter Marinkovich and Chao Lyu. Their work appears in journals such as Journal of Investigative Dermatology, Molecular Therapy, The Prostate, PLoS ONE 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.