Parikshit Sen

76 total papers · 502 total citations
13 papers, 49 citations indexed

About

Parikshit Sen is a scholar working on Infectious Diseases, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Parikshit Sen has authored 13 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Epidemiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Parikshit Sen's work include Inflammatory Myopathies and Dermatomyositis (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Parikshit Sen is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Parikshit Sen collaborates with scholars based in India, United Kingdom and United States. Parikshit Sen's co-authors include Latika Gupta, Vikas Agarwal, Mrudula Joshi, R Naveen, Jessica Day, Arvind Nune, Rohit Aggarwal, Albert Selva-O’Callaghan, Able Lawrence and Mohit Joshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

Parikshit Sen

9 papers receiving 47 citations

Author Peers

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

Author Last Decade Papers Cites
Parikshit Sen 24 16 8 7 6 13 49
Fátima Rodrigues Fernandes 20 0.8× 4 0.3× 5 0.6× 6 0.9× 2 0.3× 13 56
Robin Šín 36 1.5× 9 0.6× 7 0.9× 3 0.4× 6 1.0× 14 57
Ashlesh Patil 37 1.5× 8 0.5× 4 0.5× 7 1.0× 5 0.8× 14 70
Carolina S. Lázari 29 1.2× 8 0.5× 8 1.0× 16 2.3× 2 0.3× 11 60
Zahra Soleimani 20 0.8× 13 0.8× 23 2.9× 11 1.6× 6 1.0× 14 65
Francesca Conway 28 1.2× 15 0.9× 4 0.5× 5 0.7× 5 0.8× 12 67
Xiaowen Mao 24 1.0× 10 0.6× 2 0.3× 4 0.6× 4 0.7× 12 54
Huei Hsun Wen 19 0.8× 8 0.5× 6 0.8× 7 1.0× 4 0.7× 9 49
Sin Young Ham 47 2.0× 20 1.3× 4 0.5× 13 1.9× 12 2.0× 13 76
Carlijn Jordans 49 2.0× 7 0.4× 4 0.5× 21 3.0× 3 0.5× 13 77

Countries citing papers authored by Parikshit Sen

Since Specialization
Citations

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

Fields of papers citing papers by Parikshit Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parikshit Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Parikshit Sen. A scholar is included among the top collaborators of Parikshit Sen 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 Parikshit Sen. Parikshit Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026