Darpun Sachdev

1.4k citations
33 papers · 733 · h-index 13

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 5%
    • HIV Research and Treatment

Papers in

Darpun Sachdev

32 papers receiving 725 citations

Peers

Darpun Sachdev
Comparison fields: 5 of 61
  • Infectious Diseases 473
  • Virology 82
  • Modeling and Simulation 52
  • Epidemiology 190
  • General Health Professions 100
Replace Dianmin Kang with:
Dianmin Kang China
Peter Saxton New Zealand
Robert Glaubius United States
Justin T Okano United States
Vivian Iida Avelino‐Silva Brazil
Loveleen Bansi‐Matharu United Kingdom
Brenda Hoagland Brazil
Kristin Beima‐Sofie United States
Juan F Vesga United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Darpun Sachdev

Since Specialization
Citations

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

Fields of papers citing papers by Darpun Sachdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darpun Sachdev. 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 Darpun Sachdev. The network helps show where Darpun Sachdev may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014206
2 201885
3 201354
4 202052
5 202043
6 201834
7 202031
8 202028
9 201325
10 201919
11 202115
12 202114
13 202012
14 202112
15 202011
16 202111
17 200911
18 199010
19 20219
20
Lessons from Mass-Testing for COVID-19 in Long Term Care Facilities for the Elderly in San Francisco
20218

About Darpun Sachdev

Darpun Sachdev is a scholar working on Infectious Diseases, Modeling and Simulation, Information Systems, General Health Professions and Epidemiology, having authored 33 papers that have together received 733 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), HIV/AIDS Research and Interventions (8 papers), COVID-19 Digital Contact Tracing (7 papers), COVID-19 and healthcare impacts (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Sex work and related issues (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (473 citations), Virology (82 citations), Modeling and Simulation (52 citations), Epidemiology (190 citations) and General Health Professions (100 citations). Darpun Sachdev has collaborated with scholars based in United States, Thailand and Pakistan. Frequent co-authors include Stephanie E. Cohen, Susan Buchbinder, Albert Liu, Stephen Follansbee, Deborah Cohan, Shannon Weber, Susan Scheer, Monica Gandhi, Diane V. Havlir and Ling Hsu. Their work appears in journals such as Open Forum Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, Public Health Reports, Clinical Infectious Diseases and Sexually Transmitted 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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