John D. Williams
- Epidemiology top 2%
- Molecular Medicine top 0.5%
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Infectious Diseases top 2%
- Co-authors
- Norton P. PeetTerry L. BowlinArmine SeftonD. A. LeighDonald T. MoirNicholas TopleyDavid M. LivermoreJohn C. Drach
- Topics
- Antibiotic Resistance in Bacteria (37 papers)Antibiotics Pharmacokinetics and Efficacy (21 papers)Cytomegalovirus and herpesvirus research (16 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John D. Williams
149 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 149
- Epidemiology 1.1k
- Molecular Medicine 723
- Molecular Biology 722
- Organic Chemistry 579
- Infectious Diseases 577
Countries citing papers authored by John D. Williams
This map shows the geographic impact of John D. 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 John D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Williams more than expected).
Fields of papers citing papers by John D. Williams
This network shows the impact of papers produced by John D. 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 John D. Williams. The network helps show where John D. Williams may publish in the future.
Co-authorship network of co-authors of John D. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Williams. A scholar is included among the top collaborators of John D. 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 John D. Williams. John D. 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 | 31 | |
| 2 | 147 | |
| 3 | Reduced systemic AGE formation with a low GDP solution (CAPD balance): data from the multicentre European balance trial | 1 |
| 4 | 9 | |
| 5 | 77 | |
| 6 | 27 | |
| 7 | 21 | |
| 8 | Standardization of units of drug concentration measurement. | 6 |
| 9 | Cefoxitin: microbiology, pharmacology and clinical use. | 3 |
| 10 | 22 | |
| 11 | 29 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | 16 | |
| 15 | 15 | |
| 16 | 19 | |
| 17 | 16 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 71 |
About John D. Williams
John D. Williams is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 153 papers that have together received 3.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (37 papers), Antibiotics Pharmacokinetics and Efficacy (21 papers) and Cytomegalovirus and herpesvirus research (16 papers). The work is most often cited by research in Molecular Medicine (723 citations), Applied Microbiology and Biotechnology (105 citations) and Endocrinology (201 citations). John D. Williams has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Norton P. Peet, Terry L. Bowlin, Armine Sefton, D. A. Leigh, Donald T. Moir, Nicholas Topley, David M. Livermore, John C. Drach, Leroy B. Townsend and J. P. Maskell. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and The Journal of Immunology.
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.