Richard G. Nelson
- Molecular Biology top 10%
- Parasitology top 0.5%
- Epidemiology top 5%
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Nina AgabianJiří GutWilliam B. StrongMarilyn ParsonsW. Curtis JohnsonCarolyn PetersenMurray E. SelkirkKenneth Stuart
- Topics
- Trypanosoma species research and implications (15 papers)Parasitic Infections and Diagnostics (14 papers)Research on Leishmaniasis Studies (11 papers)
- Partner nations
- United StatesFranceSouth Africa
In The Last Decade
Richard G. Nelson
44 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.2k
- Parasitology 997
- Epidemiology 844
- Infectious Diseases 636
- Public Health, Environmental and Occupational Health 498
Countries citing papers authored by Richard G. Nelson
This map shows the geographic impact of Richard G. Nelson'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 G. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard G. Nelson more than expected).
Fields of papers citing papers by Richard G. Nelson
This network shows the impact of papers produced by Richard G. Nelson. 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 G. Nelson. The network helps show where Richard G. Nelson may publish in the future.
Co-authorship network of co-authors of Richard G. Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Nelson. A scholar is included among the top collaborators of Richard G. Nelson 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 G. Nelson. Richard G. Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 287 | |
| 2 | 16 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 80 | |
| 6 | 93 | |
| 7 | 28 | |
| 8 | 15 | |
| 9 | 85 | |
| 10 | Identification and isolation of Cryptosporidium parvum genes encoding microtubule and microfilament proteins. | 19 |
| 11 | 88 | |
| 12 | 16 | |
| 13 | 29 | |
| 14 | 155 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 35 | |
| 18 | 29 | |
| 19 | 25 | |
| 20 | 28 |
About Richard G. Nelson
Richard G. Nelson is a scholar working on Parasitology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 2.7k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (15 papers), Parasitic Infections and Diagnostics (14 papers) and Research on Leishmaniasis Studies (11 papers). The work is most often cited by research in Parasitology (997 citations), Infectious Diseases (636 citations) and Epidemiology (844 citations). Richard G. Nelson has collaborated with scholars based in United States, France and South Africa. Frequent co-authors include Nina Agabian, Jiří Gut, William B. Strong, Marilyn Parsons, W. Curtis Johnson, Carolyn Petersen, Murray E. Selkirk, Kenneth Stuart, Michael Milhausen and Philip J. Rosenthal. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.