Tripti Pande

1.5k citations
32 papers · 1.0k · 1 hit paper · h-index 15

Impact in

Papers in

Tripti Pande

32 papers receiving 986 citations

Tripti Pande's Hit Papers

Building a tuberculosis-free world: The Lancet Commission on tuberculosis 2019 · 278 citations
2780+2+4Years since publication50100150200250

Peers

Tripti Pande
Comparison fields: 5 of 131
  • Health Informatics 48
  • Infectious Diseases 514
  • Radiology, Nuclear Medicine and Imaging 170
  • Epidemiology 196
  • Modeling and Simulation 25
Replace Monde Muyoyeta with:
Monde Muyoyeta Zambia
Irwin Law Switzerland
Asaf Biber Israel
Noah Fongwen United Kingdom
María Zolfo Belgium
Suvanand Sahu United Kingdom
Phan Trong Lan Vietnam
Mohamed N. Fawzy Egypt
Vineet Kumar Chadda India
Lucica Diţiu United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Tripti Pande

Since Specialization
Citations

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

Fields of papers citing papers by Tripti Pande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Building a tuberculosis-free world: The Lancet Commission on tuberculosis
Hit paper breakdown →
2019278
2 201694
3 202087
4 201874
5 202064
6 201850
7 201846
8 201545
9 201538
10 201832
11 202021
12 202021
13 202021
14 202120
15 202015
16 201714
17 202311
18 202210
19 20209
20 20159

About Tripti Pande

Tripti Pande is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Epidemiology, Modeling and Simulation and Health, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), COVID-19 diagnosis using AI (7 papers), Pneumonia and Respiratory Infections (5 papers), COVID-19 Clinical Research Studies (3 papers), Global Maternal and Child Health (3 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 epidemiological studies (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Health Informatics (48 citations), Infectious Diseases (514 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Epidemiology (196 citations) and Modeling and Simulation (25 citations). Tripti Pande has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Madhukar Pai, Faiz Ahmad Khan, Claudia Maria Denkinger, Sophie Huddart, Danielle Cazabon, Mohidus Samad Khan, Yashpal Singh Malik, Kavitha Saravu, Theo G. M. van de Ven and Kuldeep Dhama. Their work appears in journals such as International Journal of Environmental Research and Public Health, Gates Open Research, Tropical Medicine and Infectious Disease, CHEST Journal and BMJ Global Health.

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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