Howard M. Rawnsley
- Rheumatology top 10%
- Genetics
- Molecular Biology
- Pharmacology top 10%
- Physiology
- Co-authors
- B. M. MitrukaWalter B. ShelleyJohn G. ReinholdDean A. ArvanFrank P. BrooksLeonard N. HorowitzRobert BuschJohn M. Eisenberg
- Topics
- Clinical Laboratory Practices and Quality Control (4 papers)Liver Disease Diagnosis and Treatment (2 papers)Urticaria and Related Conditions (2 papers)
- Cited by
- PharmacologyRheumatologyGenetics
- Journals
- ScienceJAMAGastroenterology
- Partner nations
- United States
In The Last Decade
Howard M. Rawnsley
20 papers receiving 491 citations
Peers
Comparison fields: 5 of 123
- Rheumatology 106
- Genetics 68
- Molecular Biology 65
- Pharmacology 65
- Physiology 65
Countries citing papers authored by Howard M. Rawnsley
This map shows the geographic impact of Howard M. Rawnsley'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 Howard M. Rawnsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard M. Rawnsley more than expected).
Fields of papers citing papers by Howard M. Rawnsley
This network shows the impact of papers produced by Howard M. Rawnsley. 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 Howard M. Rawnsley. The network helps show where Howard M. Rawnsley may publish in the future.
Co-authorship network of co-authors of Howard M. Rawnsley
This figure shows the co-authorship network connecting the top 25 collaborators of Howard M. Rawnsley. A scholar is included among the top collaborators of Howard M. Rawnsley 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 Howard M. Rawnsley. Howard M. Rawnsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 50 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | Clinical biochemical and hematological reference values in normal experimental animals and normal humans | 183 |
| 9 | Animals for Medical Research: Models for the Study of Human Disease | 27 |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 35 | |
| 15 | 45 | |
| 16 | 3 | |
| 17 | 80 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 37 |
About Howard M. Rawnsley
Howard M. Rawnsley is a scholar working on Statistics, Probability and Uncertainty, Nephrology and Behavioral Neuroscience, having authored 21 papers that have together received 562 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (4 papers), Liver Disease Diagnosis and Treatment (2 papers) and Urticaria and Related Conditions (2 papers). The work is most often cited by research in Pharmacology (65 citations), Rheumatology (106 citations) and Genetics (68 citations). Howard M. Rawnsley has collaborated with scholars based in United States. Frequent co-authors include B. M. Mitruka, Walter B. Shelley, John G. Reinhold, Dean A. Arvan, Frank P. Brooks, Leonard N. Horowitz, Robert Busch, John M. Eisenberg, D. V. Vadehra and Gibbons G. Cornwell. Their work appears in journals such as Science, JAMA and Gastroenterology.
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.