William Kim

7.1k citations
41 papers · 5.2k indexed · 1 hit paper · h-index 20

William Kim

36 papers receiving 5.1k citations

Hit Papers

HIFα Targeted for VHL-Mediated Destruction by Proline Hyd...3.9k200120262009201710002.0k3.0k

Peers

William Kim
Comparison fields: 5 of 143
  • Cancer Research 3.0k
  • Molecular Biology 2.9k
  • Biochemistry 279
  • Genetics 773
  • Oncology 686
Replace Sónia Rocha with:
Sónia Rocha United Kingdom
Chao Lü United States
Holger Hebestreit United Kingdom
Peter Söderkvist Sweden
Jie Zhou China
Carsten Willam Germany
Eric Metzen Germany
Alexander Weidemann Germany
Christina Warnecke Germany
Anton J.G. Horrevoets Netherlands
William Kim relative to Sónia Rocha United Kingdom Sónia Rocha's profile →
Citations per field
00.5×1.6×
Sónia Rocha · 1×
Citations per year

Countries citing papers authored by William Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with William Kim Line = papers co-authored together William Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202447
3 20242
4 202410
5 20232
6 20230
7 202142
8 202020
9 20201
10 20193
11 201711
12 20121
13 201084
14 200986
15 200580
16 2003149
17 200311
18 200285
19
HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensingbreakdown →
20013874
20 198940

About William Kim

William Kim is a scholar working on Structural Biology, Hematology and Cancer Research, having authored 41 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (5 papers), Urinary and Genital Oncology Studies (4 papers), interferon and immune responses (3 papers), Renal cell carcinoma treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers), Fibroblast Growth Factor Research (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Cancer Research (3.0k citations), Molecular Biology (2.9k citations) and Biochemistry (279 citations). William Kim has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include William G. Kaelin, Haifeng Yang, William S. Lane, Keiichi Kondo, Adrian Salic, Michael Ohh, John M. Asara, Mircea Ivan, Eric Wallen and Raj S. Pruthi. Their work appears in journals such as PM&R, The Journal of Urology, Journal of the American College of Surgeons, Journal of the American Society for Mass Spectrometry and Cell Reports.

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.

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