Marc Williams
Impact in
- Development top 0.5%
- International Development and Aid
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 15
-
- Single-cell and spatial transcriptomics 8
- Epigenetics and DNA Methylation 3
- Co-authors
- Robert O’Brien (5 shared papers)Anne Marie Goetz (2 shared papers)Trevor A. Graham (14 shared papers)Andrea Sottoriva (11 shared papers)Benjamin Werner (10 shared papers)C. Barnes (8 shared papers)G. John Ikenberry (1 shared paper)Jan Aart Scholte (1 shared paper)
- Journals
- International Affairs (15 papers)Nature Genetics (5 papers)Nature Communications (4 papers)Psychological Medicine (3 papers)Global Environmental Politics (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Marc Williams
78 papers receiving 2.2k citations
Marc Williams's Hit Papers
Peers
Comparison fields: 5 of 165
- Development 388
- Cancer Research 609
- Public Administration 118
- Modeling and Simulation 134
- Political Science and International Relations 555
Countries citing papers authored by Marc Williams
This map shows the geographic impact of Marc 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 Marc Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Williams more than expected).
Fields of papers citing papers by Marc Williams
This network shows the impact of papers produced by Marc 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 Marc Williams. The network helps show where Marc Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Williams, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 412 | |
| 2 | Identification of neutral tumor evolution across cancer types Hit paper breakdown → | 2016 | 369 |
| 3 | 2000 | 321 | |
| 4 | 2018 | 134 | |
| 5 | 1971 | 110 | |
| 6 | Global Political Economy: Evolution and Dynamics | 2003 | 90 |
| 7 | 1994 | 67 | |
| 8 | 2020 | 60 | |
| 9 | 2020 | 57 | |
| 10 | 2005 | 54 | |
| 11 | 1990 | 50 | |
| 12 | 2019 | 47 | |
| 13 | 2019 | 43 | |
| 14 | 2020 | 42 | |
| 15 | 2023 | 34 | |
| 16 | 2004 | 34 | |
| 17 | 2020 | 33 | |
| 18 | 1990 | 33 | |
| 19 | 1993 | 33 | |
| 20 | 2019 | 31 |
About Marc Williams
Marc Williams is a scholar working on Cancer Research, Molecular Biology, Political Science and International Relations, Pathology and Forensic Medicine and Sociology and Political Science, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), International Development and Aid (8 papers), Single-cell and spatial transcriptomics (8 papers), Genetic factors in colorectal cancer (7 papers), Evolution and Genetic Dynamics (5 papers), Global trade and economics (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Development (388 citations), Cancer Research (609 citations), Public Administration (118 citations), Modeling and Simulation (134 citations) and Political Science and International Relations (555 citations). Marc Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robert O’Brien, Anne Marie Goetz, Trevor A. Graham, Andrea Sottoriva, Benjamin Werner, C. Barnes, G. John Ikenberry, Jan Aart Scholte, A. M. G. Campbell and J. L. G. Thomson. Their work appears in journals such as International Affairs, Nature Genetics, Nature Communications, Psychological Medicine and Global Environmental Politics.
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.