Devi Sridhar

120 papers receiving 6.6k citations

Devi Sridhar's Hit Papers

SARS-CoV-2 variants and ending the COVID-19 pandemic 2021 · 427 citations
4270+6+12Years since publication250500750

Peers

Devi Sridhar
Comparison fields: 5 of 185
  • Modeling and Simulation 600
  • Applied Microbiology and Biotechnology 264
  • Development 358
  • Infectious Diseases 719
  • General Health Professions 720
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Citations per year

Countries citing papers authored by Devi Sridhar

Since Specialization
Citations

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

Fields of papers citing papers by Devi Sridhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global and regional estimates of COPD prevalence: Systematic review and meta–analysis
Hit paper breakdown →
2015952
2
Barriers to improvement of mental health services in low-income and middle-income countries
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2007812
3 2020579
4
Will Ebola change the game? Ten essential reforms before the next pandemic. The report of the Harvard-LSHTM Independent Panel on the Global Response to Ebola
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2015428
5
SARS-CoV-2 variants and ending the COVID-19 pandemic
Hit paper breakdown →
2021427
6 2016247
7 2009243
8 2015190
9 2020190
10 2008159
11 2021124
12 2021121
13 2018112
14 2023105
15 201598
16 201484
17 201377
18 201776
19 201575
20 201472

About Devi Sridhar

Devi Sridhar is a scholar working on Development, Modeling and Simulation, Finance, Organizational Behavior and Human Resource Management and Political Science and International Relations, having authored 121 papers that have together received 7.3k indexed citations. Recurring topics across this work include Public health and occupational medicine (22 papers), International Development and Aid (20 papers), COVID-19 epidemiological studies (18 papers), Global Public Health Policies and Epidemiology (14 papers), Healthcare Systems and Reforms (13 papers), Human Rights and Development (9 papers), Global Security and Public Health (8 papers) and Antibiotic Use and Resistance (7 papers). The work is most often cited by research in Modeling and Simulation (600 citations), Applied Microbiology and Biotechnology (264 citations), Development (358 citations), Infectious Diseases (719 citations) and General Health Professions (720 citations). Devi Sridhar has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Rajaie Batniji, Igor Rudan, Kit Yee Chan, Davies Adeloye, Lawrence O. Gostin, Mark van Ommeren, John Mahoney, Oye Gureje, Benedetto Saraceno and Chris Underhill. Their work appears in journals such as The Lancet, BMJ, Journal of Global Health, Wellcome Open Research and Nature Medicine.

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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