Anindya Sen

2.6k total citations · 2 hit papers
22 papers, 1.9k citations indexed

About

Anindya Sen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Anindya Sen has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Anindya Sen's work include Neurobiology and Insect Physiology Research (8 papers), Developmental Biology and Gene Regulation (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Anindya Sen is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Developmental Biology and Gene Regulation (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Anindya Sen collaborates with scholars based in United States, India and France. Anindya Sen's co-authors include Spyros Artavanis‐Tsakonas, Kazuya Hori, Verônica Rodrigues, Mark W. Kankel, Dhanisha J. Jhaveri, Raymond Mak, Fen‐Biao Gao, Mark Y. Fang, David J. Gonzalez and Florian Krach and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Anindya Sen

22 papers receiving 1.9k citations

Hit Papers

Context-Dependent and Disease-Specific Diversity in P... 2013 2026 2017 2021 2018 2013 200 400 600

Peers

Anindya Sen
Comparison fields: 5 of 101
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 393
  • Genetics 304
  • Cell Biology 295
  • Immunology 196
Replace Melih Acar with:
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Citations per field, relative to Anindya Sen
Anindya Sen · 1×
Citations per year, relative to Anindya Sen
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Countries citing papers authored by Anindya Sen

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Sen

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 22
2 72
3
Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules breakdown →
626
4
Notch signaling at a glance breakdown →
427
5 2
6 35
7 28
8 95
9 39
10 76
11 139
12 1
13 31
14 16
15 44
16 29
17 35
18 26
19 82
20 48

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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