Manish C. Choudhary

5.1k citations
32 papers · 876 indexed · 1 hit paper · h-index 13

Manish C. Choudhary

27 papers receiving 866 citations

Hit Papers

Prospective mapping of viral mutations that escape antibo...4482021202620222024100200300400

Peers

Manish C. Choudhary
Comparison fields: 5 of 75
  • Infectious Diseases 622
  • Hepatology 75
  • Modeling and Simulation 43
  • Animal Science and Zoology 58
  • Radiology, Nuclear Medicine and Imaging 114
Replace Florian Wrensch with:
Florian Wrensch Germany
Metodi V. Stankov Germany
Dominik Nörz Germany
Rafael Bayarri‐Olmos Denmark
Philipp Schommers Germany
Lisa Müller Germany
Yufeng Yao China
Huiping Yan China
Yonat Shemer Avni Israel
Shiwu Ma China
Manish C. Choudhary relative to Florian Wrensch Germany Florian Wrensch's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manish C. Choudhary

Since Specialization
Citations

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

Fields of papers citing papers by Manish C. Choudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish C. Choudhary. 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 Manish C. Choudhary. The network helps show where Manish C. Choudhary may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20245
3 20240
4 202310
5 202211
6
Prospective mapping of viral mutations that escape antibodies used to treat COVID-19breakdown →
2021448
7 202140
8 202126
9
Situational Awareness, Perceptions, Myths, and Health Protective Behavior Regarding Coronavirus Disease-19 among Common Educated People of Urban Population of Ajmer City: A Cross-sectional Study
20210
10 2021107
11 20191
12 201932
13 20197
14 201823
15 201836
16 201814
17 20189
18 201617
19 20143
20 201413

About Manish C. Choudhary

Manish C. Choudhary is a scholar working on Hepatology, Infectious Diseases and Modeling and Simulation, having authored 32 papers that have together received 876 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (8 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 detection and testing (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Infectious Diseases (622 citations), Hepatology (75 citations) and Modeling and Simulation (43 citations). Manish C. Choudhary has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include Jonathan Z. Li, Amin Addetia, Jesse D. Bloom, Tyler N. Starr, William W. Hannon, Allison J. Greaney, Adam S. Dingens, Ekta Gupta, Shiv Kumar Sarin and James Regan. Their work appears in journals such as Science, Cell and SHILAP Revista de lepidopterología.

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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