W. Ray Waters

8.3k citations
205 papers · 6.5k indexed · h-index 45

Impact in

Papers in

W. Ray Waters

203 papers receiving 6.3k citations

Peers

W. Ray Waters
Comparison fields: 5 of 126
  • Microbiology 1.4k
  • Infectious Diseases 4.1k
  • Epidemiology 4.0k
  • Small Animals 836
  • Agronomy and Crop Science 794
Replace Mitchell V. Palmer with:
Mitchell V. Palmer United States
Victor P. M. G. Rutten Netherlands
R. Glyn Hewinson United Kingdom
Geoffrey W. de Lisle New Zealand
Philip Griebel Canada
S.D. Neill United Kingdom
Tyler C. Thacker United States
Amauri Alcindo Alfieri Brazil
Sylvia van Drunen Littel‐van den Hurk Canada
Brør Morein Sweden
W. Ray Waters relative to Mitchell V. Palmer United States Mitchell V. Palmer's profile →
Citations per field
00.5×1.5×
Mitchell V. Palmer · 1×
Citations per year

Countries citing papers authored by W. Ray Waters

Since Specialization
Citations

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

Fields of papers citing papers by W. Ray Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Ray Waters. 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 W. Ray Waters. The network helps show where W. Ray Waters may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20227
2 202016
3 202013
4 201811
5 201732
6 20172
7 201617
8 201429
9 201271
10 201125
11 20099
12 20094
13 200816
14 200715
15 200737
16 200716
17 200525
18 200492
19 200343
20 200315

About W. Ray Waters

W. Ray Waters is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Small Animals and Immunology, having authored 205 papers that have together received 6.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (139 papers), Tuberculosis Research and Epidemiology (128 papers), Microbial infections and disease research (44 papers), Immune Response and Inflammation (21 papers), Immune Cell Function and Interaction (15 papers), Immune responses and vaccinations (13 papers), Infectious Diseases and Tuberculosis (13 papers) and vaccines and immunoinformatics approaches (12 papers). The work is most often cited by research in Microbiology (1.4k citations), Infectious Diseases (4.1k citations), Epidemiology (4.0k citations), Small Animals (836 citations) and Agronomy and Crop Science (794 citations). W. Ray Waters has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Mitchell V. Palmer, Tyler C. Thacker, Konstantin P. Lyashchenko, Brian J. Nonnecke, Diana L. Whipple, D. L. Whipple, John P. Bannantine, Bryce M. Buddle, Javan Esfandiari and H. Martin Vordermeier. Their work appears in journals such as Clinical and Vaccine Immunology, Veterinary Immunology and Immunopathology, Journal of Wildlife Diseases, PLoS ONE and Vaccine.

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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