David J. Waters

7.8k total citations · 1 hit paper
149 papers, 5.9k citations indexed

About

David J. Waters is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Immunology. According to data from OpenAlex, David J. Waters has authored 149 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 32 papers in Epidemiology and 32 papers in Immunology. Recurrent topics in David J. Waters's work include T-cell and Retrovirus Studies (24 papers), Animal Disease Management and Epidemiology (20 papers) and Veterinary Oncology Research (17 papers). David J. Waters is often cited by papers focused on T-cell and Retrovirus Studies (24 papers), Animal Disease Management and Epidemiology (20 papers) and Veterinary Oncology Research (17 papers). David J. Waters collaborates with scholars based in United States, United Kingdom and Canada. David J. Waters's 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 and has published in prestigious journals such as Nature, Science and The Lancet.

In The Last Decade

David J. Waters

145 papers receiving 5.5k citations

Hit Papers

Gender and cultural bias in student evaluations: Why repr... 2019 2026 2021 2023 2019 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David J. Waters United States 41 1.2k 1.2k 936 893 766 149 5.9k
William Ollier United Kingdom 54 1.5k 1.2× 1.5k 1.3× 1.7k 1.8× 3.5k 3.9× 381 0.5× 313 11.1k
Ronald Penny Australia 46 751 0.6× 1.4k 1.2× 731 0.8× 1.5k 1.6× 1.3k 1.7× 207 6.9k
David J. Weber United States 58 1.2k 1.0× 1.7k 1.4× 6.3k 6.7× 1.2k 1.4× 2.1k 2.7× 344 12.2k
J. M. Papadimitriou Australia 46 942 0.8× 906 0.8× 2.3k 2.5× 1.2k 1.4× 589 0.8× 307 7.5k
Robert A. Schwartz United States 63 1.1k 0.9× 4.4k 3.8× 1.4k 1.5× 1.2k 1.4× 1.8k 2.3× 551 15.8k
Jian Li China 46 731 0.6× 880 0.7× 3.3k 3.5× 1.7k 1.9× 1.3k 1.7× 409 9.1k
Anne Thomas United Kingdom 43 1.1k 0.9× 602 0.5× 2.0k 2.1× 965 1.1× 378 0.5× 222 7.6k
John H. Adams United States 51 313 0.3× 1.7k 1.4× 1.9k 2.0× 2.8k 3.1× 409 0.5× 288 8.8k
Zvi Bentwich Israel 44 292 0.2× 1.1k 0.9× 5.3k 5.7× 2.0k 2.3× 1.1k 1.4× 163 10.4k
Herbert Hooijkaas Netherlands 50 373 0.3× 818 0.7× 1.1k 1.2× 2.1k 2.4× 550 0.7× 151 8.0k

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-authorship network of co-authors of David J. Waters

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Waters. A scholar is included among the top collaborators of David J. Waters based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Waters. David J. Waters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Waters, David J., et al.. (2023). Determination of the Helpfulness of Physics Exam Study Methods. Journal of College Science Teaching. 52(6). 38–45.
4.
Waters, David J.. (2014). A Host of Histories: Helping Year 9s Explore Multiple Narratives through the History of a House.. Teaching history. 1 indexed citations
5.
Waters, David J., et al.. (2011). On the Self-Renewal of Teachers. Journal of Veterinary Medical Education. 38(3). 235–241. 3 indexed citations
6.
Waters, David J., et al.. (2009). Exploring mechanisms of sex differences in longevity: lifetime ovary exposure and exceptional longevity in dogs. Aging Cell. 8(6). 752–755. 50 indexed citations
7.
Bullen, F, et al.. (2004). Incorporating and developing graduate attributes via program design. eCite Digital Repository (University of Tasmania). 12 indexed citations
8.
Hisada, Michie, Béa J. van den Berg, Howard D. Strickler, et al.. (2001). Prospective Study of Antibody to Human Papilloma Virus type 16 and Risk of Cervical, Endometrial, and Ovarian Cancers (United States). Cancer Causes & Control. 12(4). 335–341. 25 indexed citations
9.
Coulthart, Michael B., et al.. (2000). HTLV Type I/II in British Columbia Amerindians: A Seroprevalence Study and Sequence Characterization of an HTLV Type IIa Isolate. AIDS Research and Human Retroviruses. 16(9). 883–892. 15 indexed citations
10.
Lal, Renu B., Elizabeth M. Maloney, Stefan Z. Wiktor, et al.. (1999). Estimating the time of HTLV-I infection following mother-to-child transmission in a breast-feeding population in Jamaica. Journal of Medical Virology. 59(4). 541–546. 14 indexed citations
11.
Burns, David, Sheldon H. Landesman, Howard Minkoff, et al.. (1998). The influence of pregnancy on human immunodeficiency virus type 1 infection: Antepartum and postpartum changes in human immunodeficiency virus type 1 viral load. American Journal of Obstetrics and Gynecology. 178(2). 355–359. 26 indexed citations
12.
Coakley, Fergus V., Mervyn D. Cohen, David J. Waters, et al.. (1997). The Detection of Pulmonary Metastases with Pathologic Correlation in a Canine Model: Effect of Breathing on the Accuracy of Helical CT. American Journal of Roentgenology. 169(6). 1615–1618. 1 indexed citations
13.
Knapp, Deborah W. & David J. Waters. (1997). Opinion. Molecular Medicine Today. 3(1). 8–11. 63 indexed citations
14.
Montironi, Rodolfo, David G. Bostwick, Helmut Bonkhoff, et al.. (1996). Workgroup 1: Origins of prostate cancer. Cancer. 78(2). 362–365. 41 indexed citations
15.
Waters, David J., et al.. (1996). High Urine Concentrations of Basic Fibroblast Growth Factor in Dogs With Bladder Cancer. Journal of Veterinary Internal Medicine. 10(4). 231–234. 23 indexed citations
16.
Reitz, Marvin S., LEOTA HALL, James A. Lautenberger, et al.. (1994). Viral Variability and Serum Antibody Response in a Laboratory Worker Infected with HIV Type 1 (HTLV Type IIIB). AIDS Research and Human Retroviruses. 10(9). 1143–1155. 22 indexed citations
17.
Black, Francis L., Robert J. Biggar, James V. Neel, Elizabeth M. Maloney, & David J. Waters. (1994). Endemic Transmission of HTLV Type II among Kayapo Indians of Brazil. AIDS Research and Human Retroviruses. 10(9). 1165–1171. 49 indexed citations
18.
Biggar, Robert J., Janet Neequaye, Paul H. Levine, et al.. (1993). The Prevalence of Antibodies to the Human T Lymphotropic Virus (HTLV) in Ghana, West Africa. AIDS Research and Human Retroviruses. 9(6). 505–511. 21 indexed citations
19.
Dekaban, Gregory A., Ewa King, David J. Waters, & George P. Rice. (1992). Nucleotide Sequence Analysis of an HTLV-I Isolate from a Chilean Patient with HAM/TSP. AIDS Research and Human Retroviruses. 8(7). 1201–1207. 21 indexed citations
20.
Devash, Yair, Thomas J. Matthews, J. E. Drummond, et al.. (1990). C-Terminal Fragments of gpl20 and Synthetic Peptides from Five HTLV-III Strains: Prevalence of Antibodies to the HTLV-III-MN Isolate in Infected Individuals. AIDS Research and Human Retroviruses. 6(3). 307–316. 47 indexed citations

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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