Jerry Williams

1.8k citations
8 papers · 1.5k · 1 hit paper · h-index 5

Impact in

Papers in

    • DNA Repair Mechanisms 2
    • Ubiquitin and proteasome pathways 1
    • Mitochondrial Function and Pathology 1
    • Cancer-related Molecular Pathways 2

Jerry Williams

7 papers receiving 1.5k citations

Jerry Williams's Hit Papers

Disruption of p53 in human cancer cells alters the responses to therapeutic agents 1999 · 912 citations
9120+9+18Years since publication250500750

Peers

Jerry Williams
Comparison fields: 5 of 86
  • Oncology 781
  • Biotechnology 169
  • Cancer Research 236
  • Molecular Biology 917
  • Pathology and Forensic Medicine 108
Replace I Bae with:
I Bae United States
Muthu Selvakumaran United States
Steven Grant United States
Faina Vikhanskaya Italy
Sheng-Chieh Hsu Taiwan
Edward K. Han United States
S. Biade United States
Tiziana Bruno Italy
Asra Malikzay United States
Catherine Wölfel Germany
Jerry Williams relative to I Bae United States I Bae's profile →
Citations per field
00.5×2.9×
I Bae · 1×
Citations per year

Countries citing papers authored by Jerry Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jerry Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerry Williams. 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 Jerry Williams. The network helps show where Jerry Williams may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Disruption of p53 in human cancer cells alters the responses to therapeutic agents
Hit paper breakdown →
1999912
2 1997349
3 1999162
4 199764
5 198832
6 19852
7 19931
8 19951

About Jerry Williams

Jerry Williams is a scholar working on Molecular Biology, Oncology, Genetics, Cardiology and Cardiovascular Medicine and Pharmaceutical Science, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Cancer-related Molecular Pathways (2 papers), Atrial Fibrillation Management and Outcomes (1 paper), Ubiquitin and proteasome pathways (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Parasites and Host Interactions (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Oncology (781 citations), Biotechnology (169 citations), Cancer Research (236 citations), Molecular Biology (917 citations) and Pathology and Forensic Medicine (108 citations). Jerry Williams has collaborated with scholars based in United States. Frequent co-authors include Bert Vogelstein, Yonggang Zhang, Larry E. Dillehay, Kenneth W. Kinzler, Todd Waldman, Christoph Lengauer, Chris Torrance, Paul M. Hwang, Fred Bunz and Jian Yu. Their work appears in journals such as Nature Medicine, Oncogene, CHEST Journal, Bulletin of the American Meteorological Society and Pacing and Clinical Electrophysiology.

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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