William Kim
Impact in
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Mitochondrial Function and Pathology
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
Papers in
- Oncology 13
- Lung Cancer Research Studies 3
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- Iron Metabolism and Disorders 2
- Platelet Disorders and Treatments 2
- Co-authors
- William G. Kaelin (2 shared papers)Adrian N. Salic (1 shared paper)Mircea Ivan (1 shared paper)William S. Lane (1 shared paper)Haifeng Yang (1 shared paper)Michael Ohh (1 shared paper)Keiichi Kondo (1 shared paper)John M. Asara (1 shared paper)
- Journals
- Genetics (2 papers)PM&R (2 papers)Journal of the American Society for Mass Spectrometry (2 papers)Bladder Cancer (1 paper)Urology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
William Kim
44 papers receiving 5.9k citations
William Kim's Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 3.1k
- Molecular Biology 3.1k
- Biochemistry 268
- Oncology 869
- Genetics 765
Countries citing papers authored by William Kim
This map shows the geographic impact of William Kim'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 William Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Kim more than expected).
Fields of papers citing papers by William Kim
This network shows the impact of papers produced by William Kim. 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 William Kim. The network helps show where William Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside William Kim, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensing Hit paper breakdown → | 2001 | 4097 |
| 2 | 2006 | 387 | |
| 3 | 2010 | 197 | |
| 4 | 2003 | 157 | |
| 5 | 2004 | 107 | |
| 6 | 2002 | 98 | |
| 7 | 2005 | 96 | |
| 8 | 2009 | 92 | |
| 9 | 2010 | 91 | |
| 10 | 2004 | 70 | |
| 11 | 2024 | 60 | |
| 12 | 2021 | 47 | |
| 13 | 2015 | 44 | |
| 14 | 1989 | 41 | |
| 15 | 1983 | 40 | |
| 16 | 2020 | 35 | |
| 17 | 2016 | 31 | |
| 18 | 2007 | 31 | |
| 19 | 2022 | 30 | |
| 20 | 2014 | 29 |
About William Kim
William Kim is a scholar working on Oncology, Hematology, Cancer Research, Immunology and Molecular Biology, having authored 48 papers that have together received 6.0k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), interferon and immune responses (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Nuclear Physics and Applications (2 papers), Iron Metabolism and Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Cancer Research (3.1k citations), Molecular Biology (3.1k citations), Biochemistry (268 citations), Oncology (869 citations) and Genetics (765 citations). William Kim has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include William G. Kaelin, Adrian N. Salic, Mircea Ivan, William S. Lane, Haifeng Yang, Michael Ohh, Keiichi Kondo, John M. Asara, Judith K. Davie and Matthew E. Nielsen. Their work appears in journals such as Genetics, PM&R, Journal of the American Society for Mass Spectrometry, Bladder Cancer and Urology.
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.