William H. Witola
- Parasitology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Co-authors
- Choukri Ben MamounErnest MuiKamal El BissatiKazuhiko OhashiMisao OnumaRima McLeodNoboru InoueShahbaz M. Khan
- Topics
- Parasitic Infections and Diagnostics (23 papers)Toxoplasma gondii Research Studies (20 papers)Trypanosoma species research and implications (17 papers)
- Cited by
- ParasitologyEpidemiologyVirology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesJapanChina
In The Last Decade
William H. Witola
69 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Parasitology 813
- Epidemiology 613
- Molecular Biology 431
- Public Health, Environmental and Occupational Health 421
- Infectious Diseases 295
Countries citing papers authored by William H. Witola
This map shows the geographic impact of William H. Witola'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 H. Witola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Witola more than expected).
Fields of papers citing papers by William H. Witola
This network shows the impact of papers produced by William H. Witola. 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 H. Witola. The network helps show where William H. Witola may publish in the future.
Co-authorship network of co-authors of William H. Witola
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Witola. A scholar is included among the top collaborators of William H. Witola 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 H. Witola. William H. Witola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Past, current, and potential treatments for cryptosporidiosis in humans and farm animals: A comprehensive reviewbreakdown → | 44 |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 29 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 16 | |
| 12 | 26 | |
| 13 | 19 | |
| 14 | 101 | |
| 15 | 23 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 31 | |
| 19 | 12 | |
| 20 | Serum proteins changes in indigenous zambian goats with trypanosomosis | 4 |
About William H. Witola
William H. Witola is a scholar working on Parasitology, Small Animals and Epidemiology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (23 papers), Toxoplasma gondii Research Studies (20 papers) and Trypanosoma species research and implications (17 papers). The work is most often cited by research in Parasitology (813 citations), Epidemiology (613 citations) and Virology (77 citations). William H. Witola has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Choukri Ben Mamoun, Ernest Mui, Kamal El Bissati, Kazuhiko Ohashi, Misao Onuma, Rima McLeod, Noboru Inoue, Shahbaz M. Khan, Xuejin Zhang and Daniel A. Abugri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.