Prem Shankar

1.4k citations
33 papers · 863 · h-index 11

Impact in

    • Tuberculosis Research and Epidemiology
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis
    • Trypanosoma species research and implications

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • Tuberculosis Research and Epidemiology 3
    • COVID-19 Clinical Research Studies 2
    • Extracellular vesicles in disease 3

Prem Shankar

33 papers receiving 829 citations

Peers

Prem Shankar
Comparison fields: 5 of 100
  • Infectious Diseases 254
  • Epidemiology 312
  • Public Health, Environmental and Occupational Health 241
  • Parasitology 41
  • Surgery 195
Replace Volker Strenger with:
Volker Strenger Austria
Paul Benson United States
Andrew R. DiNardo United States
A.B.M. Foot United Kingdom
A. Mahé France
Parvez Ahmed Pakistan
Samuel Wilson United States
Gemma Moncunill Spain
Bernardo Gontijo Brazil
Shiqiang Shang China
Prem Shankar relative to Volker Strenger Austria Volker Strenger's profile →
Citations per field
00.5×4.3×
Volker Strenger · 1×
Citations per year

Countries citing papers authored by Prem Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Prem Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prem Shankar, 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 Prem Shankar Line = papers co-authored together Prem Shankar 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 1991201
2 2016143
3 1991107
4 2017100
5 202074
6 202341
7 202325
8 202323
9 202221
10 202318
11 202011
12 20199
13 20258
14 20048
15 20217
16 20196
17 20226
18 20196
19 20215
20 20205

About Prem Shankar

Prem Shankar is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Surgery and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 863 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Research on Leishmaniasis Studies (4 papers), Infectious Diseases and Tuberculosis (3 papers), Extracellular vesicles in disease (3 papers), Tuberculosis Research and Epidemiology (3 papers), MicroRNA in disease regulation (3 papers), Mycobacterium research and diagnosis (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (254 citations), Epidemiology (312 citations), Public Health, Environmental and Occupational Health (241 citations), Parasitology (41 citations) and Surgery (195 citations). Prem Shankar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Sarman Singh, Jyotsna Mishra, Saumya Srivastava, Shriniwas, Ahuja Gk, N. M. L. Manjunath, Kameshwar Prasad, Madhuri Behari, Krishna Mohan and Anudita Bhargava. Their work appears in journals such as PLoS ONE, Parasites & Vectors, The Lancet, Cells and Data in Brief.

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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