Pranay Sinha

2.2k citations
76 papers · 1.3k · h-index 15

Impact in

    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Immunology top 10%
    • Immune cells in cancer

Papers in

Pranay Sinha

65 papers receiving 1.3k citations

Peers

Pranay Sinha
Comparison fields: 5 of 136
  • Infectious Diseases 522
  • Immunology 268
  • Modeling and Simulation 42
  • Oncology 230
  • Nutrition and Dietetics 118
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Pranay Sinha relative to Andrea Padoan Italy Andrea Padoan's profile →
Citations per field
00.5×3.7×
Andrea Padoan · 1×
Citations per year

Countries citing papers authored by Pranay Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Pranay Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012381
2 2020212
3 2018102
4 202157
5 202052
6 202047
7 202236
8
DOTS at a tertiary care center in northern India: successes, challenges and the next steps in tuberculosis control.
200627
9 199727
10 201921
11 202120
12 202020
13 202216
14 201515
15 202114
16 202013
17 202113
18 202212
19 200712
20 202411

About Pranay Sinha

Pranay Sinha is a scholar working on Infectious Diseases, Nutrition and Dietetics, Epidemiology, General Health Professions and Hardware and Architecture, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Child Nutrition and Water Access (16 papers), COVID-19 Clinical Research Studies (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Long-Term Effects of COVID-19 (5 papers), Food Security and Health in Diverse Populations (5 papers), Pneumonia and Respiratory Infections (5 papers) and Formal Methods in Verification (5 papers). The work is most often cited by research in Infectious Diseases (522 citations), Immunology (268 citations), Modeling and Simulation (42 citations), Oncology (230 citations) and Nutrition and Dietetics (118 citations). Pranay Sinha has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Natasha S. Hochberg, Manish Sagar, Laura F. White, Nancy S. Miller, Michael R. Rossi, Joseph P. Mizgerd, Tim Kees, Zena Werb, Jae‐Hyun Park and Miriam R. Fein. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases, The International Journal of Tuberculosis and Lung Disease, Open Forum Infectious Diseases and International Journal of 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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