Rituparno Sen

15 total papers · 1.1k total citations
9 papers, 880 citations indexed

About

Rituparno Sen is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Rituparno Sen has authored 9 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 1 paper in Epidemiology. Recurrent topics in Rituparno Sen's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers) and RNA Research and Splicing (3 papers). Rituparno Sen is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers) and RNA Research and Splicing (3 papers). Rituparno Sen collaborates with scholars based in India, Germany and United States. Rituparno Sen's co-authors include Jayprokas Chakrabarti, Suman Ghosal, Shaoli Das, Piyali Basak, Peter F. Stadler, Jörg Fallmann, Sven Findeiß, Gero Doose, Markus Engstler and Antoine‐Emmanuel Saliba and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Rituparno Sen

9 papers receiving 865 citations

Author Peers

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

Author Last Decade Papers Cites
Rituparno Sen 812 794 29 27 19 9 880
Huang Wu 905 1.1× 636 0.8× 34 1.2× 20 0.7× 47 2.5× 12 981
Junhui Ge 934 1.2× 600 0.8× 62 2.1× 20 0.7× 14 0.7× 9 996
Emily Hoberg 636 0.8× 433 0.5× 25 0.9× 21 0.8× 13 0.7× 7 703
Nicolas Léveillé 720 0.9× 460 0.6× 24 0.8× 30 1.1× 27 1.4× 11 777
Qi Chen 723 0.9× 617 0.8× 22 0.8× 32 1.2× 79 4.2× 8 856
Julien Jarroux 690 0.8× 671 0.8× 55 1.9× 37 1.4× 17 0.9× 7 821
Barbara Uszczyńska-Ratajczak 751 0.9× 562 0.7× 49 1.7× 41 1.5× 34 1.8× 13 869
Gaëlle J.S. Talhouarne 672 0.8× 300 0.4× 27 0.9× 36 1.3× 37 1.9× 7 737
Joana Carlevaro-Fita 741 0.9× 692 0.9× 31 1.1× 51 1.9× 21 1.1× 10 867
Jovanna González 737 0.9× 671 0.8× 59 2.0× 49 1.8× 14 0.7× 15 829

Countries citing papers authored by Rituparno Sen

Since Specialization
Citations

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

Fields of papers citing papers by Rituparno Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rituparno Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Rituparno Sen. A scholar is included among the top collaborators of Rituparno 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 Rituparno Sen. Rituparno Sen 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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