G. Knowles

984 citations
28 papers · 869 · h-index 16

Impact in

  • Epidemiology top 10%
    • Trypanosoma species research and implications
    • Cervical Cancer and HPV Research

Papers in

G. Knowles

28 papers receiving 797 citations

Peers

G. Knowles
Comparison fields: 5 of 60
  • Parasitology 88
  • Epidemiology 381
  • Public Health, Environmental and Occupational Health 238
  • Immunology 173
  • Microbiology 45
Replace Brian R. Dorn with:
Brian R. Dorn United States
Jennifer A. Bohl United States
Dominique Sainte‐Marie French Guiana
Wen Juan Dai Germany
J. E. O'GRADY United Kingdom
Carola Rask Sweden
Christoph Schoerner Germany
Cordelia Brandt United Kingdom
Stefan Neifer Germany
Laura H. Hogan United States
G. Knowles relative to Brian R. Dorn United States Brian R. Dorn's profile →
Citations per field
00.5×2×2.8×
Brian R. Dorn · 1×
Citations per year

Countries citing papers authored by G. Knowles

Since Specialization
Citations

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

Fields of papers citing papers by G. Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Knowles, 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 G. Knowles Line = papers co-authored together G. Knowles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005250
2 199672
3 199671
4 199749
5 198346
6 198837
7 199135
8 199034
9 197932
10 198030
11 199323
12 198721
13 198420
14 198119
15 198219
16 197517
17 199515
18 198915
19 198414
20 199712

About G. Knowles

G. Knowles is a scholar working on Parasitology, Public Health, Environmental and Occupational Health, Epidemiology, Immunology and Infectious Diseases, having authored 28 papers that have together received 869 indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Trypanosoma species research and implications (9 papers), Mosquito-borne diseases and control (5 papers), Vector-borne infectious diseases (4 papers), Research on Leishmaniasis Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Animal Disease Management and Epidemiology (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Parasitology (88 citations), Epidemiology (381 citations), Public Health, Environmental and Occupational Health (238 citations), Immunology (173 citations) and Microbiology (45 citations). G. Knowles has collaborated with scholars based in United Kingdom, Kenya and Papua New Guinea. Frequent co-authors include Richard Strawson Stubbs, G. J. Miller, Maria Saveria Campo, Brian W. O'neil, David Walliker, Guillermo Grindlay, Lata M. Chandrachud, G V Brown, Robin F. Anders and Jim Scott. Their work appears in journals such as Parasitology, Animal Genetics, American Journal of Tropical Medicine and Hygiene, Thorax and Journal of General Virology.

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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