T. J. Dondero

573 citations
20 papers · 410 indexed · h-index 10
Topics
HIV/AIDS Research and Interventions (11 papers)HIV, Drug Use, Sexual Risk (7 papers)HIV Research and Treatment (6 papers)

In The Last Decade

T. J. Dondero

19 papers receiving 388 citations

Peers

T. J. Dondero
Comparison fields: 5 of 60
  • Infectious Diseases 300
  • Virology 178
  • Epidemiology 162
  • General Health Professions 52
  • Public Health, Environmental and Occupational Health 33
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Citations per field
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Citations per year

Countries citing papers authored by T. J. Dondero

Since Specialization
Citations

This map shows the geographic impact of T. J. Dondero'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 T. J. Dondero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Dondero more than expected).

Fields of papers citing papers by T. J. Dondero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Dondero

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Dondero. A scholar is included among the top collaborators of T. J. Dondero 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 T. J. Dondero. T. J. Dondero 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
#WorkIndexed citations
1 23
2 16
3 9
4 107
5 3
6 69
7 69
8 1
9
Determining HIV seroprevalence among women in women's health clinics.
12
10
Methods of surveillance for HIV infection at U.S. sentinel hospitals.
20
11 14
12 9
13 23
14 5
15
Filarial parasites of Malaysian monkeys.
1
16
Early clinical manifestations in filariasis due to Brugia malayi: observations on experimental infections in man.
9
17 8
18
Clinical epidemiology of filariasis due to Brugia malayi on a rubber estate in West Malaysia.
7
19
Filariasis in a rubber plantation in Negeri Sembilan, West Malaysia.
1
20
Filariasis due to Brugia malayi in west Malayasia. I. Clinical, laboratory, and parasitological aspects.
4

About T. J. Dondero

T. J. Dondero is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 20 papers that have together received 410 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (11 papers), HIV, Drug Use, Sexual Risk (7 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Virology (178 citations), Infectious Diseases (300 citations) and Epidemiology (162 citations). T. J. Dondero has collaborated with scholars based in United States, Malaysia and Niger. Frequent co-authors include Charles A. Schable, Gerald Schochetman, Harold W. Jaffe, L. Kaptué, J. Richard George, Michael E. St. Louis, Léopold Zekeng, Lutz Gürtler, Marguerite Pappaioanou and A. Willoughby. Their work appears in journals such as Science, The Lancet and Emerging infectious diseases.

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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