Jon 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 12
- Skin and Cellular Biology Research 12
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- Bone Metabolism and Diseases 3
- Plant Reproductive Biology 2
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Mei Chen (13 shared papers)David T. Woodley (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)M. Peter Marinkovich (1 shared paper)
- Journals
- Journal of Investigative Dermatology (5 papers)Molecular Therapy (2 papers)PLoS ONE (2 papers)The Prostate (2 papers)Molecular Cancer (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Jon Cogan
21 papers receiving 690 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 257
- Immunology and Allergy 39
- Pathology and Forensic Medicine 107
- Cancer Research 74
- Molecular Biology 319
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 | 118 | |
| 2 | 2007 | 91 | |
| 3 | 2017 | 89 | |
| 4 | 2009 | 59 | |
| 5 | 2018 | 54 | |
| 6 | 2014 | 53 | |
| 7 | 2020 | 44 | |
| 8 | 2010 | 35 | |
| 9 | 2007 | 33 | |
| 10 | 2015 | 30 | |
| 11 | 2007 | 22 | |
| 12 | 2022 | 20 | |
| 13 | 1979 | 17 | |
| 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, Pulmonary and Respiratory Medicine and Oncology, having authored 23 papers that have together received 702 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (12 papers), Autoimmune Bullous Skin Diseases (7 papers), Prostate Cancer Treatment and Research (4 papers), Bone Metabolism and Diseases (3 papers), Plant Reproductive Biology (2 papers), Bone health and treatments (2 papers), Cell Adhesion Molecules Research (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (257 citations), Immunology and Allergy (39 citations), Pathology and Forensic Medicine (107 citations), Cancer Research (74 citations) and Molecular Biology (319 citations). Jon Cogan has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Mei Chen, David T. Woodley, Baruch Frenkel, Yingping Hou, Gerhard A. Coetzee, Grant Buchanan, Douglas R. Keene, M. Peter Marinkovich, Chao Lyu and Benjamin P. Berman. Their work appears in journals such as Journal of Investigative Dermatology, Molecular Therapy, PLoS ONE, The Prostate and Molecular Cancer.
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.