David J. Waters

144 papers receiving 5.5k citations

David J. Waters's Hit Papers

Gender and cultural bias in student evaluations: Why representation matters 2019 · 163 citations
1630+2+4Years since publication50100150

Peers

David J. Waters
Comparison fields: 5 of 190
  • Virology 667
  • Small Animals 573
  • Aging 85
  • Immunology 845
  • Equine 64
Replace William Ollier with:
William Ollier United Kingdom
Jeffrey M. Jones United States
Herbert F. Polesky United States
Howard Green United States
J. M. Papadimitriou Australia
David J. Adams United Kingdom
Sarah A. Robertson Australia
Edward E. Wallach United States
Judith G. Hall Canada
Andrew Rowan United States
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Citations per year

Countries citing papers authored by David J. Waters

Since Specialization
Citations

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

Fields of papers citing papers by David J. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004460
2 1997269
3 1999232
4 1990200
5 1997183
6 1996176
7
Gender and cultural bias in student evaluations: Why representation matters
Hit paper breakdown →
2019163
8 1988143
9 2015134
10 2001132
11
Indium-111-DTPA-folate as a potential folate-receptor-targeted radiopharmaceutical.
1998115
12 1998113
13 1999112
14 1999103
15 2000103
16
Endogenous gonadal hormone exposure and bone sarcoma risk.
2002103
17 200392
18 198989
19 200384
20 199883

About David J. Waters

David J. Waters is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Small Animals, having authored 148 papers that have together received 5.9k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (23 papers), Animal Disease Management and Epidemiology (18 papers), Vector-Borne Animal Diseases (16 papers), Veterinary Oncology Research (15 papers), Veterinary Medicine and Surgery (14 papers), Human-Animal Interaction Studies (12 papers), Prostate Cancer Treatment and Research (10 papers) and Veterinary Orthopedics and Neurology (10 papers). The work is most often cited by research in Virology (667 citations), Small Animals (573 citations), Aging (85 citations), Immunology (845 citations) and Equine (64 citations). David J. Waters has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David G. Bostwick, Lawrence T. Glickman, Gary J. Patronek, Wendell Miley, Nita W. Glickman, Deborah W. Knapp, David W. Hayden, Paul W. Snyder, Dawn M. Cooley and Harry Burke. Their work appears in journals such as The Prostate, AIDS Research and Human Retroviruses, Journal of Veterinary Internal Medicine, Virology and Blood.

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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