Sunil Bahl

1.7k citations
60 papers · 1.1k · h-index 17

Impact in

Papers in

Sunil Bahl

57 papers receiving 1.0k citations

Peers

Sunil Bahl
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 554
  • Infectious Diseases 425
  • Health 156
  • Modeling and Simulation 39
  • Endocrinology 28
Replace Rudolf H. Tangermann with:
Rudolf H. Tangermann Switzerland
Victor M. Cáceres United States
Edward P K Parker United Kingdom
Peter Strebel United States
Katherine Seib United States
Linda Quick United States
Robert J. Kim-Farley United States
R Bernier United States
K. J. Bart United States
Ralph H. Henderson United States
Sunil Bahl relative to Rudolf H. Tangermann Switzerland Rudolf H. Tangermann's profile →
Citations per field
00.5×2.8×
Rudolf H. Tangermann · 1×
Citations per year

Countries citing papers authored by Sunil Bahl

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Bahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 2017102
3 201490
4 201175
5 200957
6 201257
7 201544
8 201643
9 201040
10
Polio-free certification and lessons learned--South-East Asia region, March 2014.
201435
11 201627
12 201624
13 201124
14 201822
15 201622
16 201220
17 201417
18 202016
19 201716
20 201416

About Sunil Bahl

Sunil Bahl is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Health, Epidemiology and Modeling and Simulation, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (31 papers), Vaccine Coverage and Hesitancy (15 papers), Viral gastroenteritis research and epidemiology (13 papers), Virology and Viral Diseases (12 papers), COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Whipple's Disease and Interleukins (5 papers) and Bacterial Infections and Vaccines (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (554 citations), Infectious Diseases (425 citations), Health (156 citations), Modeling and Simulation (39 citations) and Endocrinology (28 citations). Sunil Bahl has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Roland W. Sutter, R. Bruce Aylward, Nicholas C. Grassly, Jagadish M. Deshpande, Hamid Jafari, Jay D. Wenger, Harish Verma, Raman Sethi, Concepción F. Estívariz and Pankaj Bhatnagar. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, The Journal of Infectious Diseases, Vaccine, PLoS ONE and The Lancet.

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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