Rwik Sen

548 citations
31 papers · 439 · h-index 12

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • DNA Repair Mechanisms
    • Developmental Biology and Gene Regulation
    • Chromatin Remodeling and Cancer
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Genomics and Chromatin Dynamics 12
    • Epigenetics and DNA Methylation 3
    • Fungal and yeast genetics research 3
    • RNA Research and Splicing 2
    • DNA Repair Mechanisms 2
    • Developmental Biology and Gene Regulation 2
    • SARS-CoV-2 and COVID-19 Research 6
    • COVID-19 Clinical Research Studies 5

Rwik Sen

31 papers receiving 424 citations

Peers

Rwik Sen
Comparison fields: 5 of 47
  • Molecular Biology 305
  • Infectious Diseases 40
  • Cancer Research 20
  • Cell Biology 18
  • Genetics 35
Replace Michael Borja with:
Michael Borja United States
Sarantis Chlamydas Greece
Yaqun Teng China
Avelino V. Teixeira United States
Simone Gallo Italy
Zhenyuan Tang United States
Isabel S. Naarmann‐de Vries Germany
Jianhuai Zhang China
Yuko Kotani Japan
Peter A. Bell Canada
Rwik Sen relative to Michael Borja United States Michael Borja's profile →
Citations per field
00.5×5×10×15×21.5×
Michael Borja · 1×
Citations per year

Countries citing papers authored by Rwik Sen

Since Specialization
Citations

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

Fields of papers citing papers by Rwik Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Rwik Sen, 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 Rwik Sen Line = papers co-authored together Rwik Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 202142
3 201841
4 202433
5 201626
6 201223
7 201522
8 201721
9 201320
10 201920
11 201417
12 201714
13 201312
14 201411
15 202011
16 201610
17 202010
18 20218
19 20127
20 20217

About Rwik Sen

Rwik Sen is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Obstetrics and Gynecology and Hematology, having authored 31 papers that have together received 439 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Epigenetics and DNA Methylation (3 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (2 papers), DNA Repair Mechanisms (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Molecular Biology (305 citations), Infectious Diseases (40 citations), Cancer Research (20 citations), Cell Biology (18 citations) and Genetics (35 citations). Rwik Sen has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Sukesh R. Bhaumik, Kristin Artinger, Lomeli Carpio Shull, Kevin F. Bryant, Yanan Lu, Michael R. Garbati, Susumu Goyama, Mineo Kurokawa, Laura Hernandez‐Lagunas and Lee Ann Niswander. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Transcription, Genome and The FASEB Journal.

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