Richard W. James
- Clinical Biochemistry top 0.02%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Molecular Biology top 5%
- Plant Science top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Jens KrauseIlia LevievDarren P. CroftGraeme D. RuxtonIain D. CouzinNigel R. FranksSara DeakinD Pometta
- Topics
- Paraoxonase enzyme and polymorphisms (59 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (45 papers)Lipoproteins and Cardiovascular Health (35 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Richard W. James
206 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Clinical Biochemistry 3.4k
- Ecology, Evolution, Behavior and Systematics 2.2k
- Molecular Biology 1.8k
- Plant Science 1.8k
- Endocrinology, Diabetes and Metabolism 1.5k
Countries citing papers authored by Richard W. James
This map shows the geographic impact of Richard W. James'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 Richard W. James with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard W. James more than expected).
Fields of papers citing papers by Richard W. James
This network shows the impact of papers produced by Richard W. James. 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 Richard W. James. The network helps show where Richard W. James may publish in the future.
Co-authorship network of co-authors of Richard W. James
This figure shows the co-authorship network connecting the top 25 collaborators of Richard W. James. A scholar is included among the top collaborators of Richard W. James 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 Richard W. James. Richard W. James is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 70 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 50 | |
| 9 | Developing a methodology for social network sampling. | 1 |
| 10 | 73 | |
| 11 | 28 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 405 | |
| 15 | Trademark Law - Lanham Trademark Act of 1946 - Trademark Registration | 1 |
| 16 | 32 | |
| 17 | 51 | |
| 18 | Phenotyping is an accurate means of analysing the principal apolipoprotein E isoforms | 8 |
| 19 | 20 | |
| 20 | Manageability of Class Actions Under S. 3475: Congress Confronts the Policy Choices Revealed in Rule 23(b)(3) Litigation | 1 |
About Richard W. James
Richard W. James is a scholar working on Clinical Biochemistry, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 209 papers that have together received 12.2k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (59 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (45 papers) and Lipoproteins and Cardiovascular Health (35 papers). The work is most often cited by research in Clinical Biochemistry (3.4k citations), Developmental Biology (448 citations) and Biochemistry (930 citations). Richard W. James has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Jens Krause, Ilia Leviev, Darren P. Croft, Graeme D. Ruxton, Iain D. Couzin, Nigel R. Franks, Sara Deakin, D Pometta, Brenda R. Kwak and Ashley J. W. Ward. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.