John E. Hyde
Impact in
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- Malaria Research and Control
- Parasitology top 1%
- Toxoplasma gondii Research Studies
Papers in
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- Malaria Research and Control 77
-
- Toxoplasma gondii Research Studies 5
- Co-authors
- Paul F. G. Sims (49 shared papers)Ping Wang (13 shared papers)Martin Read (16 shared papers)John G. Scaife (15 shared papers)William M. Watkins (4 shared papers)John E. Hearst (3 shared papers)Alan F. Cowman (3 shared papers)Mike Goman (8 shared papers)
- Journals
- Molecular and Biochemical Parasitology (19 papers)Trends in Parasitology (10 papers)Molecular Microbiology (8 papers)Nucleic Acids Research (6 papers)Parasitology (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John E. Hyde
99 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 95
- Public Health, Environmental and Occupational Health 4k
- Parasitology 615
- Molecular Biology 1.1k
- Computational Theory and Mathematics 152
- Rheumatology 99
Countries citing papers authored by John E. Hyde
This map shows the geographic impact of John E. Hyde'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 John E. Hyde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Hyde more than expected).
Fields of papers citing papers by John E. Hyde
This network shows the impact of papers produced by John E. Hyde. 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 John E. Hyde. The network helps show where John E. Hyde may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Hyde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 318 | |
| 2 | 1994 | 313 | |
| 3 | 1997 | 258 | |
| 4 | 1998 | 241 | |
| 5 | 1997 | 231 | |
| 6 | 1984 | 211 | |
| 7 | 2007 | 182 | |
| 8 | 2002 | 167 | |
| 9 | 2005 | 149 | |
| 10 | 1982 | 143 | |
| 11 | 1990 | 122 | |
| 12 | 2002 | 122 | |
| 13 | 2005 | 120 | |
| 14 | 1977 | 117 | |
| 15 | 1993 | 117 | |
| 16 | 2006 | 106 | |
| 17 | 1985 | 101 | |
| 18 | 1993 | 96 | |
| 19 | 1989 | 94 | |
| 20 | 2004 | 94 |
About John E. Hyde
John E. Hyde is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Molecular Biology, Rheumatology and Spectroscopy, having authored 100 papers that have together received 6k indexed citations. Recurring topics across this work include Malaria Research and Control (77 papers), Genomics and Chromatin Dynamics (12 papers), Biochemical and Molecular Research (7 papers), Toxoplasma gondii Research Studies (5 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA and protein synthesis mechanisms (3 papers), Folate and B Vitamins Research (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (4k citations), Parasitology (615 citations), Molecular Biology (1.1k citations), Computational Theory and Mathematics (152 citations) and Rheumatology (99 citations). John E. Hyde has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul F. G. Sims, Ping Wang, Martin Read, John G. Scaife, William M. Watkins, John E. Hearst, Alan F. Cowman, Mike Goman, Ian O. Walker and Darren R. Brooks. Their work appears in journals such as Molecular and Biochemical Parasitology, Trends in Parasitology, Molecular Microbiology, Nucleic Acids Research and Parasitology.
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.