H Williams

667 citations
31 papers · 478 · h-index 14

Impact in

Papers in

H Williams

29 papers receiving 428 citations

Peers

H Williams
Comparison fields: 5 of 64
  • Parasitology 324
  • Infectious Diseases 168
  • Virology 33
  • Epidemiology 147
  • Public Health, Environmental and Occupational Health 113
Replace A Sabó with:
A Sabó Slovakia
Mitika K. Hagiwara Brazil
R. Nelson United Kingdom
A. Fytianou Greece
W. D. Kundin United States
L. Matthewman Zimbabwe
Amélie Honstettre France
F Heinz Austria
E W Larson United States
V. Kontos Greece
H Williams relative to A Sabó Slovakia A Sabó's profile →
Citations per field
00.5×1.5×1.9×
A Sabó · 1×
Citations per year

Countries citing papers authored by H Williams

Since Specialization
Citations

This map shows the geographic impact of H Williams'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 H Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Williams more than expected).

Fields of papers citing papers by H Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H Williams. 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 H Williams. The network helps show where H Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside H Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H Williams Line = papers co-authored together H Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198164
2 199160
3 197951
4 198332
5 197531
6 197230
7 198325
8 197924
9 197918
10 198916
11 198015
12 198915
13 196214
14 198113
15 196312
16 196511
17 19619
18 19778
19
Virus diseases can decrease peach yields.
19816
20 19836

About H Williams

H Williams is a scholar working on Parasitology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 478 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (8 papers), Toxoplasma gondii Research Studies (7 papers), Viral Infections and Vectors (6 papers), Vector-Borne Animal Diseases (3 papers), Mosquito-borne diseases and control (3 papers), Insects and Parasite Interactions (2 papers), Parasitic infections in humans and animals (2 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Parasitology (324 citations), Infectious Diseases (168 citations), Virology (33 citations), Epidemiology (147 citations) and Public Health, Environmental and Occupational Health (113 citations). H Williams has collaborated with scholars based in United Kingdom, Nepal and United States. Frequent co-authors include David H. Lewis, M.M. Davidson, A Joss, T. F. Elias-Jones, Donald E. Macfarlane, Jean M. Scott, Kathleen A. Williams, L Joyner, W. M. H. Behan and J. M. W. Chatterton. Their work appears in journals such as Nature, Journal of Clinical Pathology, Journal of Infection, Veterinary Record and Scientific Reports.

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.

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