Upasana Ray

1.9k total citations · 1 hit paper
27 papers, 1.4k citations indexed

About

Upasana Ray is a scholar working on Infectious Diseases, Hepatology and Molecular Biology. According to data from OpenAlex, Upasana Ray has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Hepatology and 7 papers in Molecular Biology. Recurrent topics in Upasana Ray's work include Hepatitis C virus research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral Infections and Immunology Research (6 papers). Upasana Ray is often cited by papers focused on Hepatitis C virus research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral Infections and Immunology Research (6 papers). Upasana Ray collaborates with scholars based in India, United States and Switzerland. Upasana Ray's co-authors include Saumitra Das, Amit Kumar Srivastava, Prem Prakash Tripathi, Feroza Begum, Sonu Gandhi, Diana V. Pastrana, Christopher B. Buck, Rachel M. Schowalter, Nicolas Çuburu and Anuj Kumar and has published in prestigious journals such as Cancer Research, Journal of Virology and Scientific Reports.

In The Last Decade

Upasana Ray

27 papers receiving 1.4k citations

Hit Papers

Interplay between NS3 protease and human La protein regul... 2011 2026 2016 2021 2011 250 500 750

Peers

Upasana Ray
Comparison fields: 5 of 166
  • Molecular Biology 329
  • Infectious Diseases 246
  • Electrical and Electronic Engineering 168
  • Oncology 166
  • Biomedical Engineering 149
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Citations per field, relative to Upasana Ray
Upasana Ray · 1×
Citations per year, relative to Upasana Ray
Upasana Ray · 1×

Countries citing papers authored by Upasana Ray

Since Specialization
Citations

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

Fields of papers citing papers by Upasana Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upasana Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Upasana Ray. A scholar is included among the top collaborators of Upasana Ray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Upasana Ray. Upasana Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 1
4 69
5
Mutation Hot Spots in Spike Protein of SARS-CoV-2 Virus
2
6 31
7 3
8 39
9 82
10 3
11 38
12 44
13 14
14 73
15 20
16 7
17
Ribosome-RNA interaction: a potential target for developing antiviral against hepatitis C virus
1
18
Interplay between NS3 protease and human La protein regulates translation-replication switch of Hepatitis C virus breakdown →
752
19 58
20 3

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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