Jack Williams
Impact in
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- Circadian rhythm and melatonin
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- Malaria Research and Control
- Mosquito-borne diseases and control
Papers in ⓘ
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- Circadian rhythm and melatonin 6
- Co-authors
- Imogene Schneider (1 shared paper)Thomas R. Burkot (1 shared paper)Qing‐Jun Meng (6 shared papers)S. W. Ellacott (2 shared papers)Charles Streuli (4 shared papers)Nan Yang (5 shared papers)Megan Dowler (3 shared papers)Pietro Alano (1 shared paper)
- Journals
- Mathematics of Computation (5 papers)SIAM Journal on Numerical Analysis (3 papers)Endocrine Connections (2 papers)Infection and Immunity (2 papers)Breast Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Jack Williams
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Endocrine and Autonomic Systems 244
- Public Health, Environmental and Occupational Health 970
- Virology 120
- Parasitology 151
- Aging 34
Countries citing papers authored by Jack Williams
This map shows the geographic impact of Jack 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 Jack Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Williams more than expected).
Fields of papers citing papers by Jack Williams
This network shows the impact of papers produced by Jack 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 Jack Williams. The network helps show where Jack Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 369 | |
| 2 | 1984 | 230 | |
| 3 | 2016 | 131 | |
| 4 | 2009 | 127 | |
| 5 | 2016 | 88 | |
| 6 | 2000 | 87 | |
| 7 | 2015 | 84 | |
| 8 | 2008 | 83 | |
| 9 | 2017 | 77 | |
| 10 | 2008 | 70 | |
| 11 | 1984 | 69 | |
| 12 | 2006 | 51 | |
| 13 | 2001 | 50 | |
| 14 | 2018 | 41 | |
| 15 | 1976 | 41 | |
| 16 | 1991 | 36 | |
| 17 | 1976 | 34 | |
| 18 | 2020 | 25 | |
| 19 | 2020 | 22 | |
| 20 | 2018 | 20 |
About Jack Williams
Jack Williams is a scholar working on Numerical Analysis, Endocrine and Autonomic Systems, Virology, Parasitology and Aging, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Numerical Methods and Algorithms (7 papers), Mosquito-borne diseases and control (7 papers), Circadian rhythm and melatonin (6 papers), Digital Filter Design and Implementation (5 papers), Spaceflight effects on biology (5 papers), Control Systems and Identification (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (244 citations), Public Health, Environmental and Occupational Health (970 citations), Virology (120 citations), Parasitology (151 citations) and Aging (34 citations). Jack Williams has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Imogene Schneider, Thomas R. Burkot, Qing‐Jun Meng, S. W. Ellacott, Charles Streuli, Nan Yang, Megan Dowler, Pietro Alano, Francesco Silvestrini and Urszula Krzych. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis, Endocrine Connections, Infection and Immunity and Breast Cancer Research.
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.