David J. Williams
- Endocrinology top 10%
- Vibrio bacteria research studies 4
- Organic Chemistry top 10%
- Supramolecular Chemistry and Complexes 3
- Spectroscopy top 5%
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 2
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- Crystallography and molecular interactions 2
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- Bacterial Genetics and Biotechnology 4
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- Protein Tyrosine Phosphatases 3
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- Air Quality and Health Impacts 2
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- Atmospheric chemistry and aerosols 2
- Co-authors
- Stephen M. KeyseJ. Fraser StoddartMontserrat Martı́nez-GomarizRosario PeronaIsabel Sánchez‐PérezMargherita VenturiLuca ProdiRoberto Ballardini
- Journals
- Nature Communications (4 papers)Journal of the American Chemical Society (2 papers)Organic Letters (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
David J. Williams
25 papers receiving 827 citations
Peers
Comparison fields: 5 of 93
- Endocrinology 69
- Organic Chemistry 312
- Spectroscopy 174
- Molecular Medicine 48
- Physical and Theoretical Chemistry 67
Countries citing papers authored by David J. Williams
This map shows the geographic impact of David J. 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 David J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Williams more than expected).
Fields of papers citing papers by David J. Williams
This network shows the impact of papers produced by David J. 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 David J. Williams. The network helps show where David J. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 46 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 68 | |
| 7 | 2018 | 30 | |
| 8 | 2006 | 41 | |
| 9 | 2006 | 2 | |
| 10 | 2005 | 58 | |
| 11 | 2004 | 8 | |
| 12 | 2002 | 43 | |
| 13 | 1997 | 45 | |
| 14 | 1997 | 143 | |
| 15 | 1990 | 4 | |
| 16 | 1989 | 0 | |
| 17 | THE LEAD CONTENT OF SYDNEY BROWN HAZE | 1982 | 2 |
| 18 | THE CHEMICAL COMPOSITIION OF SYDNEY BROWN HAZE | 1982 | 2 |
| 19 | The chemical composition of Sydney brown haze | 1982 | 2 |
| 20 | 1975 | 7 |
About David J. Williams
David J. Williams is a scholar working on Endocrinology, Molecular Medicine and Toxicology, having authored 27 papers that have together received 843 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Protein Tyrosine Phosphatases (3 papers), Supramolecular Chemistry and Complexes (3 papers), Air Quality and Health Impacts (2 papers), Atmospheric chemistry and aerosols (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Crystallography and molecular interactions (2 papers). The work is most often cited by research in Endocrinology (69 citations), Organic Chemistry (312 citations) and Spectroscopy (174 citations). David J. Williams has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Stephen M. Keyse, J. Fraser Stoddart, Montserrat Martı́nez-Gomariz, Rosario Perona, Isabel Sánchez‐Pérez, Margherita Venturi, Luca Prodi, Roberto Ballardini, Maria Teresa Gandolfi and Peter R. Ashton. Their work appears in journals such as Nature Communications, Journal of the American Chemical Society, Organic Letters, Journal of Proteome Research and Cell Host & Microbe.
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.