Will K. Reeves

3.1k citations
139 papers · 2.5k · h-index 27

Impact in

Papers in

Will K. Reeves

131 papers receiving 2.4k citations

Peers

Will K. Reeves
Comparison fields: 5 of 79
  • Parasitology 1.7k
  • Infectious Diseases 1.4k
  • Ecology, Evolution, Behavior and Systematics 805
  • Insect Science 465
  • Virology 106
Replace N. H. Ogden with:
N. H. Ogden Canada
Sándor Hornok Hungary
Gwenaël Vourc’h France
Franz‐Rainer Matuschka Germany
Anna Bajer Poland
Mason V. Reichard United States
Andrea Swei United States
Idir Bitam Algeria
B.L. Penzhorn South Africa
Ana L. García‐Pérez Spain
Will K. Reeves relative to N. H. Ogden Canada N. H. Ogden's profile →
Citations per field
00.5×1.5×2.4×
N. H. Ogden · 1×
Citations per year

Countries citing papers authored by Will K. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Will K. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will K. Reeves. 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 Will K. Reeves. The network helps show where Will K. Reeves may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007158
2 2006131
3 2006131
4 2007114
5 201688
6 200684
7 200677
8 200876
9 200875
10 200771
11 200662
12 200659
13 200757
14
Bartonella and Rickettsia in fleas and lice from mammals in South Carolina, U.S.A.
200554
15 200553
16 201652
17 200649
18 202147
19 201045
20 200844

About Will K. Reeves

Will K. Reeves is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Parasitology, Public Health, Environmental and Occupational Health and Insect Science, having authored 139 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral Infections and Vectors (72 papers), Vector-borne infectious diseases (43 papers), Vector-Borne Animal Diseases (33 papers), Bartonella species infections research (26 papers), Mosquito-borne diseases and control (21 papers), Study of Mite Species (8 papers), Bat Biology and Ecology Studies (8 papers) and Parasite Biology and Host Interactions (8 papers). The work is most often cited by research in Parasitology (1.7k citations), Infectious Diseases (1.4k citations), Ecology, Evolution, Behavior and Systematics (805 citations), Insect Science (465 citations) and Virology (106 citations). Will K. Reeves has collaborated with scholars based in United States, Russia and Egypt. Frequent co-authors include Gregory A. Dasch, Amanda D. Loftis, Lance A. Durden, Mark P. Nelder, Ibrahim Helmy, Daniel E. Szumlas, Magda M. Abbassy, Myrna M. Miller, William Wills and Christopher D. Paddock. Their work appears in journals such as Journal of the American Mosquito Control Association, Experimental and Applied Acarology, Journal of Medical Entomology, Journal of Parasitology and Zootaxa.

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.

Explore authors with similar magnitude of impact