Yash Gupta

1.2k citations
47 papers · 742 · 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 5
    • Advanced biosensing and bioanalysis techniques 3
    • SARS-CoV-2 and COVID-19 Research 8
    • Tuberculosis Research and Epidemiology 3

Yash Gupta

47 papers receiving 734 citations

Peers

Yash Gupta
Comparison fields: 5 of 112
  • Infectious Diseases 203
  • Cancer Research 122
  • Computational Theory and Mathematics 95
  • Molecular Biology 353
  • Molecular Medicine 21
Replace Sajib Chakraborty with:
Sajib Chakraborty Bangladesh
Huanyu Tao China
Liangliang Kong China
Holger A. Lindner Germany
Xiaokai Li China
Masaud Shah South Korea
Tony T. Wang United States
Romana Ishrat India
Mustafa Ulaşlı Türkiye
Kyun‐Hwan Kim South Korea
Yash Gupta relative to Sajib Chakraborty Bangladesh Sajib Chakraborty's profile →
Citations per field
00.5×1.5×2.0×
Sajib Chakraborty · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020173
2 201996
3 201049
4 201429
5 201828
6 202127
7 202126
8 202125
9 202221
10 202021
11 202021
12 202120
13 202115
14 201713
15 202213
16 202412
17 202112
18 201110
19 202210
20 202210

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 Epidemiology, having authored 47 papers that have together received 742 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Malaria Research and Control (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), vaccines and immunoinformatics approaches (5 papers), MicroRNA in disease regulation (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Infectious Diseases (203 citations), Cancer Research (122 citations), Computational Theory and Mathematics (95 citations), Molecular Biology (353 citations) and Molecular Medicine (21 citations). Yash Gupta has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Manmeet Rawat, Prakasha Kempaiah, Y. Thomas, Dharmaprakash Viszwapriya, Walter A. Koltun, Rana Al–Sadi, Meghali Nighot, Gregory S. Yochum, Ravi Durvasula and Anand Kumar. Their work appears in journals such as Journal of Low Temperature Physics, Current Topics in Medicinal Chemistry, Infection Genetics and Evolution, Molecular Aspects of Medicine and International Journal of Molecular Sciences.

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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