Jon Cogan
Impact in
- Cell Biology top 5%
- Skin and Cellular Biology Research
- Pathology and Forensic Medicine top 10%
- Autoimmune Bullous Skin Diseases
Papers in
- Cell Biology 12
- Skin and Cellular Biology Research 12
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- Bone Metabolism and Diseases 3
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- David T. Woodley (13 shared papers)Mei Chen (13 shared papers)Baruch Frenkel (8 shared papers)Yingping Hou (8 shared papers)Gerhard A. Coetzee (4 shared papers)Grant Buchanan (2 shared papers)Douglas R. Keene (4 shared papers)Chao Lyu (3 shared papers)
- Journals
- Journal of Investigative Dermatology (5 papers)Molecular Therapy (2 papers)The Prostate (2 papers)PLoS ONE (2 papers)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Jon Cogan
21 papers receiving 660 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 253
- Pathology and Forensic Medicine 119
- Immunology and Allergy 36
- Cancer Research 77
- Genetics 138
Countries citing papers authored by Jon Cogan
This map shows the geographic impact of Jon 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 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 Cogan more than expected).
Fields of papers citing papers by Jon Cogan
This network shows the impact of papers produced by Jon 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 Cogan. The network helps show where Jon Cogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon 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 | 116 | |
| 2 | 2017 | 85 | |
| 3 | 2007 | 84 | |
| 4 | 2009 | 58 | |
| 5 | 2018 | 52 | |
| 6 | 2014 | 49 | |
| 7 | 2020 | 42 | |
| 8 | 2010 | 32 | |
| 9 | 2007 | 31 | |
| 10 | 2015 | 28 | |
| 11 | 2007 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 1979 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2008 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2019 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2016 | 1 |
About Jon Cogan
Jon Cogan is a scholar working on Cell Biology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 667 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (12 papers), Autoimmune Bullous Skin Diseases (9 papers), Prostate Cancer Treatment and Research (4 papers), Bone Metabolism and Diseases (3 papers), Contact Dermatitis and Allergies (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Cell Biology (253 citations), Pathology and Forensic Medicine (119 citations), Immunology and Allergy (36 citations), Cancer Research (77 citations) and Genetics (138 citations). Jon Cogan has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include David T. Woodley, Mei Chen, Baruch Frenkel, Yingping Hou, Gerhard A. Coetzee, Grant Buchanan, Douglas R. Keene, Chao Lyu, Jia Li and M. Peter Marinkovich. Their work appears in journals such as Journal of Investigative Dermatology, Molecular Therapy, The Prostate, PLoS ONE and Journal of Cellular Biochemistry.
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.