William E. Keene
- Infectious Diseases top 1%
- Food Science top 1%
- Endocrinology top 0.5%
- Biotechnology top 1%
- Parasitology top 1%
- Co-authors
- James H. McKerrowJ.H. McKerrowSharon L. ReedKimberly K. ReppDavid W. FlemingKatrina HedbergTimothy J. BarrettJeremy McAnulty
- Topics
- Viral gastroenteritis research and epidemiology (13 papers)Escherichia coli research studies (10 papers)Salmonella and Campylobacter epidemiology (9 papers)
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
William E. Keene
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Infectious Diseases 1.1k
- Food Science 611
- Endocrinology 597
- Biotechnology 410
- Parasitology 406
Countries citing papers authored by William E. Keene
This map shows the geographic impact of William E. Keene'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 William E. Keene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Keene more than expected).
Fields of papers citing papers by William E. Keene
This network shows the impact of papers produced by William E. Keene. 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 William E. Keene. The network helps show where William E. Keene may publish in the future.
Co-authorship network of co-authors of William E. Keene
This figure shows the co-authorship network connecting the top 25 collaborators of William E. Keene. A scholar is included among the top collaborators of William E. Keene 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 William E. Keene. William E. Keene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 116 | |
| 3 | 45 | |
| 4 | 113 | |
| 5 | 54 | |
| 6 | 7 | |
| 7 | 33 | |
| 8 | 4 | |
| 9 | 59 | |
| 10 | 46 | |
| 11 | 52 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 204 | |
| 15 | 138 | |
| 16 | 235 | |
| 17 | Relación directa entre secreción de enzimas proteolíticas y virulencia en Entamoeba histolytica | 1 |
| 18 | 82 | |
| 19 | 164 | |
| 20 | Degradation of extracellular matrix by larvae of Schistosoma mansoni. I. Degradation by cercariae as a model for initial parasite invasion of host. | 40 |
About William E. Keene
William E. Keene is a scholar working on Endocrinology, Infectious Diseases and Parasitology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (13 papers), Escherichia coli research studies (10 papers) and Salmonella and Campylobacter epidemiology (9 papers). The work is most often cited by research in Endocrinology (597 citations), Parasitology (406 citations) and Infectious Diseases (1.1k citations). William E. Keene has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include James H. McKerrow, J.H. McKerrow, Sharon L. Reed, Kimberly K. Repp, David W. Fleming, Katrina Hedberg, Timothy J. Barrett, Jeremy McAnulty, Susan Hannah Allen and Matthew Petitt. Their work appears in journals such as New England Journal of Medicine, JAMA and The Journal of Experimental Medicine.
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.