Manas Vaishnav

421 citations
28 papers · 153 · h-index 9

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Disease and Transplantation 11
    • Hepatitis Viruses Studies and Epidemiology 1
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 3

Manas Vaishnav

27 papers receiving 150 citations

Peers

Manas Vaishnav
Comparison fields: 5 of 35
  • Hepatology 79
  • Epidemiology 76
  • Infectious Diseases 25
  • Modeling and Simulation 4
  • Pharmacology 6
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Countries citing papers authored by Manas Vaishnav

Since Specialization
Citations

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

Fields of papers citing papers by Manas Vaishnav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202415
2 202013
3 202111
4 202211
5 202310
6 20219
7 20219
8 20228
9 20248
10 20227
11 20226
12 20225
13 20235
14 20224
15 20234
16 20233
17 20213
18 20213
19 20213
20 20243

About Manas Vaishnav

Manas Vaishnav is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Surgery and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 153 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (11 papers), Liver Disease Diagnosis and Treatment (11 papers), COVID-19 Clinical Research Studies (4 papers), Hepatitis B Virus Studies (3 papers), Pancreatitis Pathology and Treatment (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Epilepsy research and treatment (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Hepatology (79 citations), Epidemiology (76 citations), Infectious Diseases (25 citations), Modeling and Simulation (4 citations) and Pharmacology (6 citations). Manas Vaishnav has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include S. Shalimar, Sagnik Biswas, Anshuman Elhence, Abhinav Anand, Ramesh Kumar, Baibaswata Nayak, Amit Goel, Umang Arora, Deepak Gunjan and Saurabh Kedia. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Digestive Diseases and Sciences, Clinical Gastroenterology and Hepatology, Journal of Clinical and Experimental Hepatology and Journal of Gastroenterology and Hepatology.

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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