Gary M. Williams
- Molecular Biology top 10%
- Cancer Research top 2%
- Oncology top 5%
- Hepatology top 2%
- Health, Toxicology and Mutagenesis top 2%
- Co-authors
- Brian A. LaishesKenshi WatanabeEdilberto BermudezDominick A. ScaramuzzinoJohn H. WeisburgerAlan M. JeffreyMichael J. IatropoulosR. Yamamoto
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Liver physiology and pathology (11 papers)Carcinogens and Genotoxicity Assessment (9 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Gary M. Williams
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 968
- Cancer Research 842
- Oncology 489
- Hepatology 427
- Health, Toxicology and Mutagenesis 383
Countries citing papers authored by Gary M. Williams
This map shows the geographic impact of Gary M. 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 Gary M. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary M. Williams more than expected).
Fields of papers citing papers by Gary M. Williams
This network shows the impact of papers produced by Gary M. 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 Gary M. Williams. The network helps show where Gary M. Williams may publish in the future.
Co-authorship network of co-authors of Gary M. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Gary M. Williams. A scholar is included among the top collaborators of Gary M. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary M. Williams. Gary M. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | Investigating Learning in Biologically-Inspired Artificial Agents: The POPSICLE Experiment. | 2 |
| 4 | 95 | |
| 5 | 275 | |
| 6 | 54 | |
| 7 | 24 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | 38 | |
| 18 | 3 | |
| 19 | 46 | |
| 20 | Elevated Concentrations of Serum α-Fetoprotein in Rats with Chemically Induced Liver Tumors | 21 |
About Gary M. Williams
Gary M. Williams is a scholar working on Hepatology, Cancer Research and Pharmacology, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Liver physiology and pathology (11 papers) and Carcinogens and Genotoxicity Assessment (9 papers). The work is most often cited by research in Cancer Research (842 citations), Hepatology (427 citations) and Pharmacology (349 citations). Gary M. Williams has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Brian A. Laishes, Kenshi Watanabe, Edilberto Bermudez, Dominick A. Scaramuzzino, John H. Weisburger, Alan M. Jeffrey, Michael J. Iatropoulos, R. Yamamoto, Brian G. Lake and John Doull. Their work appears in journals such as Circulation, JNCI Journal of the National Cancer Institute and Cancer.
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.