Parijat Senapati

1.2k citations
29 papers · 901 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Histone Deacetylase Inhibitors Research
    • Ubiquitin and proteasome pathways
    • Circular RNAs in diseases

Papers in

    • Genomics and Chromatin Dynamics 10
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5
    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 3
    • DNA Repair Mechanisms 2
    • Single-cell and spatial transcriptomics 2

Parijat Senapati

27 papers receiving 889 citations

Peers

Parijat Senapati
Comparison fields: 5 of 88
  • Cancer Research 224
  • Molecular Biology 583
  • Toxicology 25
  • Oncology 127
  • Immunology 91
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A Haeffner France
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Citations per field
00.5×10×15.3×
A Haeffner · 1×
Citations per year

Countries citing papers authored by Parijat Senapati

Since Specialization
Citations

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

Fields of papers citing papers by Parijat Senapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Parijat Senapati, 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 Parijat Senapati Line = papers co-authored together Parijat Senapati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014158
2 2018110
3 201895
4 201787
5 202077
6 201150
7 201043
8 201330
9 201129
10 201927
11 201626
12 202326
13 201418
14 201218
15 202115
16 202314
17 201812
18 202311
19 201210
20 20218

About Parijat Senapati

Parijat Senapati is a scholar working on Molecular Biology, Oncology, Cancer Research, Geriatrics and Gerontology and Epidemiology, having authored 29 papers that have together received 901 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (224 citations), Molecular Biology (583 citations), Toxicology (25 citations), Oncology (127 citations) and Immunology (91 citations). Parijat Senapati has collaborated with scholars based in India, United States and Norway. Frequent co-authors include Tapas K. Kundu, Snehajyoti Chatterjee, Dustin E. Schones, Jayasha Shandilya, Sadhan Das, Marpadga A. Reddy, Linda Lanting, Rama Natarajan, Amy Leung and Rituparna Ganguly. Their work appears in journals such as Nature Communications, Sub-cellular biochemistry, Arteriosclerosis Thrombosis and Vascular Biology, eLife and FEBS Letters.

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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