William C. Hahn

101.6k citations
293 papers · 40.9k indexed · 23 hit papers · h-index 101

William C. Hahn

285 papers receiving 40.2k citations

Hit Papers

Biologically ...239199820262007201650010001.5k

Peers

William C. Hahn
Comparison fields: 5 of 183
  • Cancer Research 7.8k
  • Aging 786
  • Oncology 11.2k
  • Molecular Biology 26.5k
  • Genetics 2.5k
Replace Lynda Chin with:
Lynda Chin United States
Carlos Cordon‐Cardo United States
Jiří Bártek Denmark
J. Wade Harper United States
Stephen P. Jackson United Kingdom
Johannes L. Bos Netherlands
Scott W. Lowe United States
Yue Xiong United States
Daniel A. Haber United States
René Bernards Netherlands
William C. Hahn relative to Lynda Chin United States Lynda Chin's profile →
Citations per field
00.5×4.1×
Lynda Chin · 1×
Citations per year

Countries citing papers authored by William C. Hahn

Since Specialization
Citations

This map shows the geographic impact of William C. Hahn'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 C. Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Hahn more than expected).

Fields of papers citing papers by William C. Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Hahn. 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 C. Hahn. The network helps show where William C. Hahn may publish in the future.

Co-authorship network

The 25 scholars most cited alongside William C. Hahn, 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 C. Hahn Line = papers co-authored together William C. Hahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202177
2 201928
3 20194
4 201865
5 201785
6 201519
7
A Melanoma Cell State Distinction Influences Sensitivity to MAPK Pathway Inhibitorsbreakdown →
2014357
8 201390
9 2013157
10 201237
11 2012134
12
Dissecting Therapeutic Resistance to RAF Inhibition in Melanoma by Tumor Genomic Profilingbreakdown →
2011732
13 2011384
14 2011110
15 201116
16 201081
17
Recurrent BRAF mutations in Langerhans cell histiocytosisbreakdown →
2010742
18 2010150
19 200981
20 200444

About William C. Hahn

William C. Hahn is a scholar working on Cancer Research, Aging and Oncology, having authored 293 papers that have together received 40.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (45 papers), Cancer Genomics and Diagnostics (39 papers), Cancer-related Molecular Pathways (27 papers), Ubiquitin and proteasome pathways (22 papers), Prostate Cancer Treatment and Research (21 papers), Virus-based gene therapy research (19 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related gene regulation (18 papers). The work is most often cited by research in Cancer Research (7.8k citations), Aging (786 citations) and Oncology (11.2k citations). William C. Hahn has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Robert A. Weinberg, Mary W. Brooks, Roderick L. Beijersbergen, Matthew Meyerson, Christopher M. Counter, Ante S. Lundberg, Sheila A. Stewart, Brent R. Stockwell, David E. Root and Stephen L. Lessnick. Their work appears in journals such as Cancer Research, Cancer Cell, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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