Upasana Ray

61 total papers · 1.9k total citations
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, Sonu Gandhi, Diana V. Pastrana, Christopher B. Buck, Rachel M. Schowalter, Nicolas Çuburu, Anuj Kumar and Saumitra Das 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 pro... 2011 2026 2016 2021 2011 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Upasana Ray 327 246 168 166 149 27 1.4k
Wenjie Li 219 0.7× 440 1.8× 129 0.8× 117 0.7× 172 1.2× 60 1.4k
Peng Liang 774 2.4× 326 1.3× 134 0.8× 168 1.0× 84 0.6× 80 1.8k
Jung‐Hyun Lee 605 1.9× 282 1.1× 352 2.1× 100 0.6× 49 0.3× 70 1.8k
Yun Shi 510 1.6× 98 0.4× 82 0.5× 60 0.4× 166 1.1× 42 1.6k
Guoguang Lu 438 1.3× 160 0.7× 308 1.8× 31 0.2× 72 0.5× 104 1.2k
Qianqian Qi 435 1.3× 245 1.0× 47 0.3× 59 0.4× 117 0.8× 77 1.5k
Rui Ye 571 1.7× 114 0.5× 97 0.6× 132 0.8× 123 0.8× 62 1.6k
Xiaotong Wang 383 1.2× 62 0.3× 87 0.5× 89 0.5× 137 0.9× 86 1.2k
Wei Bu 464 1.4× 260 1.1× 144 0.9× 468 2.8× 44 0.3× 74 1.8k
Sudeshna Kar 602 1.8× 147 0.6× 34 0.2× 99 0.6× 133 0.9× 63 1.4k

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

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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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