Deepak Sehgal

746 citations
26 papers · 541 · h-index 10

Impact in

  • Hepatology top 2%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Viral gastroenteritis research and epidemiology 4
    • SARS-CoV-2 and COVID-19 Research 4
    • Hepatitis Viruses Studies and Epidemiology 10
    • Hepatitis C virus research 9

Deepak Sehgal

24 papers receiving 534 citations

Peers

Deepak Sehgal
Comparison fields: 5 of 77
  • Hepatology 338
  • Infectious Diseases 289
  • Small Animals 27
  • Epidemiology 108
  • Insect Science 29
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009173
2 2001123
3 200665
4 200229
5
Bombyx mori nucleopolyhedrovirus: Molecular biology and biotechnological applications for large-scale synthesis of recombinant proteins
200228
6 201726
7 199818
8 202013
9 202011
10 20219
11 20179
12 20228
13 20225
14 20235
15 20235
16 20243
17 20163
18 20232
19
A study of serum IgE in allergic diseases.
20091
20 20241

About Deepak Sehgal

Deepak Sehgal is a scholar working on Infectious Diseases, Hepatology, Molecular Biology, Epidemiology and Computational Theory and Mathematics, having authored 26 papers that have together received 541 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (10 papers), Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (5 papers), Computational Drug Discovery Methods (4 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), vaccines and immunoinformatics approaches (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Hepatology (338 citations), Infectious Diseases (289 citations), Small Animals (27 citations), Epidemiology (108 citations) and Insect Science (29 citations). Deepak Sehgal has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Shahid Jameel, Manjula Kalia, Sheikh Abdul Rahman, Vivek Chandra, Mahua Chakraborty, Jayaraman Valadi, Mohammad Zafrullah, Suman R. Das, Ravinder Kumar and Sunil K. Lal. Their work appears in journals such as FEBS Journal, Journal of Biomolecular Structure and Dynamics, Microbial Pathogenesis, Journal of Virology and Virology Journal.

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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