Yash Gupta

1.3k citations
48 papers · 781 · h-index 14

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • vaccines and immunoinformatics approaches 4
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 3
    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 3

Yash Gupta

48 papers receiving 772 citations

Peers

Yash Gupta
Comparison fields: 5 of 113
  • Infectious Diseases 190
  • Cancer Research 106
  • Computational Theory and Mathematics 89
  • Molecular Biology 321
  • Molecular Medicine 19
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Masaud Shah South Korea
Tony T. Wang United States
Ruiyuan Cao China
Sajib Chakraborty Bangladesh
Yaguang Zhang China
Salma Jamal India
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Citations per field
00.5×1.5×1.9×
Masaud Shah · 1×
Citations per year

Countries citing papers authored by Yash Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Yash Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 201998
3 201049
4 201830
5 201429
6 202128
7 202128
8 202125
9 202222
10 202121
11 202021
12 202021
13 202416
14 202115
15 201713
16 202212
17 202112
18 202212
19 202211
20 201110

About Yash Gupta

Yash Gupta is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Cancer Research, having authored 48 papers that have together received 781 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Malaria Research and Control (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), MicroRNA in disease regulation (5 papers), vaccines and immunoinformatics approaches (4 papers), RNA Interference and Gene Delivery (3 papers), COVID-19 Clinical Research Studies (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Infectious Diseases (190 citations), Cancer Research (106 citations), Computational Theory and Mathematics (89 citations), Molecular Biology (321 citations) and Molecular Medicine (19 citations). Yash Gupta has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Manmeet Rawat, Y. Thomas, Prakasha Kempaiah, Meghali Nighot, Gregory S. Yochum, Rana Al–Sadi, Walter A. Koltun, Dharmaprakash Viszwapriya, Ravi Durvasula and Olga Kovbasnjuk. Their work appears in journals such as Journal of Low Temperature Physics, International Journal of Molecular Sciences, Current Topics in Medicinal Chemistry, Molecular Aspects of Medicine and Medicinal Research Reviews.

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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