Phil Oh
Impact in
- Cell Biology top 0.2%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
Papers in
- Cell Biology 16
- Caveolin-1 and cellular processes 16
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- Angiogenesis and VEGF in Cancer 10
- Co-authors
- Jan E. Schnitzer (35 shared papers)Deirdre P. McIntosh (5 shared papers)Jacqueline E. Testa (7 shared papers)Jingyi Yu (4 shared papers)Victor Rizzo (2 shared papers)Jun Liu (2 shared papers)Karolina M. Krasinska (2 shared papers)Eberhard Dürr (2 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)F1000Research (7 papers)Nature Biotechnology (3 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Phil Oh
35 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 114
- Cell Biology 2.2k
- Spectroscopy 550
- Biomaterials 416
- Molecular Biology 1.8k
- Neurology 208
Countries citing papers authored by Phil Oh
This map shows the geographic impact of Phil Oh'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 Phil Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Oh more than expected).
Fields of papers citing papers by Phil Oh
This network shows the impact of papers produced by Phil Oh. 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 Phil Oh. The network helps show where Phil Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Oh, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 564 | |
| 2 | 1997 | 513 | |
| 3 | 1995 | 434 | |
| 4 | 2004 | 408 | |
| 5 | 1998 | 382 | |
| 6 | 2004 | 372 | |
| 7 | 2001 | 346 | |
| 8 | 1996 | 341 | |
| 9 | 2009 | 340 | |
| 10 | 1995 | 323 | |
| 11 | 1998 | 273 | |
| 12 | 2007 | 260 | |
| 13 | 1997 | 241 | |
| 14 | 2002 | 186 | |
| 15 | 1998 | 157 | |
| 16 | 2002 | 130 | |
| 17 | 1999 | 101 | |
| 18 | 2005 | 96 | |
| 19 | 2000 | 94 | |
| 20 | 2014 | 68 |
About Phil Oh
Phil Oh is a scholar working on Cell Biology, Molecular Biology, Oncology, Modeling and Simulation and Spectroscopy, having authored 35 papers that have together received 5.8k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (16 papers), Angiogenesis and VEGF in Cancer (10 papers), Cancer Cells and Metastasis (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Mathematical Biology Tumor Growth (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cell Biology (2.2k citations), Spectroscopy (550 citations), Biomaterials (416 citations), Molecular Biology (1.8k citations) and Neurology (208 citations). Phil Oh has collaborated with scholars based in United States and Germany. Frequent co-authors include Jan E. Schnitzer, Deirdre P. McIntosh, Jacqueline E. Testa, Jingyi Yu, Victor Rizzo, Jun Liu, Karolina M. Krasinska, Eberhard Dürr, Lucy A. Carver and Ann M. Dvořàk. Their work appears in journals such as Journal of Biological Chemistry, F1000Research, Nature Biotechnology, 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.