David D. Celentano

20.4k total citations
370 papers, 15.7k citations indexed

About

David D. Celentano is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, David D. Celentano has authored 370 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 256 papers in Epidemiology, 236 papers in Infectious Diseases and 142 papers in General Health Professions. Recurrent topics in David D. Celentano's work include HIV/AIDS Research and Interventions (235 papers), HIV, Drug Use, Sexual Risk (222 papers) and Adolescent Sexual and Reproductive Health (119 papers). David D. Celentano is often cited by papers focused on HIV/AIDS Research and Interventions (235 papers), HIV, Drug Use, Sexual Risk (222 papers) and Adolescent Sexual and Reproductive Health (119 papers). David D. Celentano collaborates with scholars based in United States, Thailand and India. David D. Celentano's co-authors include David Vlahov, Carl A. Latkin, Aylur K. Srikrishnan, Kenrad E. Nelson, Walter F. Stewart, Steffanie A. Strathdee, Martha S. Linet, Shruti H. Mehta, Vivian F. Go and Suniti Solomon and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

David D. Celentano

364 papers receiving 15.0k citations

Peers

David D. Celentano
Comparison fields: 5 of 176
  • Epidemiology 9.0k
  • Infectious Diseases 8.6k
  • General Health Professions 5.6k
  • Sociology and Political Science 3.9k
  • Virology 1.7k
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Citations per field, relative to David D. Celentano
David D. Celentano · 1×
Citations per year, relative to David D. Celentano
David D. Celentano · 1×

Countries citing papers authored by David D. Celentano

Since Specialization
Citations

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

Fields of papers citing papers by David D. Celentano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Celentano

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Celentano. A scholar is included among the top collaborators of David D. Celentano 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 D. Celentano. David D. Celentano 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
# Work Indexed citations
1 1
2 13
3 17
4 12
5 26
6 14
7 44
8 12
9
Outcomes from NIMH Project Accept (HPTN 043): a cluster-randomized trial of community mobilization, mobile HIV testing, post-test support services, and real-time performance feedback
2
10 23
11 20
12 54
13 67
14 24
15 41
16 25
17 107
18
Risk factors for HIV-1 seroconversion among young men in northern Thailand.
56
19
Preparatory studies for possible HIV vaccine trials in northern Thailand.
14
20
Migraine. Patterns of healthcare use.
71

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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