Rwik Sen

567 citations
30 papers · 400 · h-index 13

Impact in

    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Chromatin Dynamics 13
    • RNA modifications and cancer 8
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 5
    • Ubiquitin and proteasome pathways 5
    • RNA and protein synthesis mechanisms 4
    • COVID-19 Clinical Research Studies 6
    • SARS-CoV-2 and COVID-19 Research 3

Rwik Sen

30 papers receiving 388 citations

Peers

Rwik Sen
Comparison fields: 5 of 55
  • Molecular Biology 318
  • Cancer Research 43
  • Genetics 66
  • Infectious Diseases 34
  • Cell Biology 25
Replace Dipak Maskey with:
Dipak Maskey United States
Nora Tenis Australia
Wenguang Yin China
Kanit Bhukhai Thailand
Bofeng Liu China
Ivy Ng Singapore
George Rebello South Africa
Francesco Panariello Italy
Anna Mascia Italy
Fiona Norris Australia
Rwik Sen relative to Dipak Maskey United States Dipak Maskey's profile →
Citations per field
00.5×1.5×2.0×
Dipak Maskey · 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 23 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 201836
3 202135
4 201626
5 201224
6 201523
7 201721
8 201319
9 201918
10 198917
11 201416
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, Pulmonary and Respiratory Medicine and Oncology, having authored 30 papers that have together received 400 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA modifications and cancer (8 papers), COVID-19 Clinical Research Studies (6 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (5 papers), RNA and protein synthesis mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Molecular Biology (318 citations), Cancer Research (43 citations), Genetics (66 citations), Infectious Diseases (34 citations) and Cell Biology (25 citations). Rwik Sen has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Sukesh R. Bhaumik, Kristin Artinger, Yanan Lu, Kevin F. Bryant, Michael R. Garbati, Susumu Goyama, J Menzel, Mineo Kurokawa, Laura Hernandez‐Lagunas and Tej K. Pandita. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Biochemistry and Cell Biology, Developmental Biology and Genome.

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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