Sayak Bhattacharya

1.4k citations
38 papers · 911 indexed · h-index 17
Topics
Cellular Mechanics and Interactions (8 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Neural dynamics and brain function (6 papers)

In The Last Decade

Sayak Bhattacharya

35 papers receiving 904 citations

Peers

Sayak Bhattacharya
Comparison fields: 5 of 105
  • Molecular Biology 427
  • Cell Biology 355
  • Cellular and Molecular Neuroscience 112
  • Physiology 102
  • Biomedical Engineering 98
Replace Kevin Thurley with:
Kevin Thurley Germany
Tomáš Mazel Czechia
Tsz‐Leung To United States
Claude Gérard Belgium
Byung Ouk Park South Korea
Antonina Joanna Mazur Poland
Fumiyoshi Ishidate Japan
Taeko Kobayashi Japan
Oliver Hoeller United Kingdom
Thomas Burgoyne United Kingdom
Sayak Bhattacharya relative to Kevin Thurley Germany Kevin Thurley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sayak Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Sayak Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayak Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Sayak Bhattacharya. A scholar is included among the top collaborators of Sayak Bhattacharya 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 Sayak Bhattacharya. Sayak Bhattacharya 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
#WorkIndexed citations
1 2
2 10
3 4
4 45
5 11
6 17
7 23
8 53
9 62
10 3
11 11
12 11
13 50
14 44
15 106
16 11
17 39
18 60
19 1
20 15

About Sayak Bhattacharya

Sayak Bhattacharya is a scholar working on Cell Biology, Biophysics and Statistical and Nonlinear Physics, having authored 38 papers that have together received 911 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cell Biology (355 citations), Biophysics (79 citations) and Molecular Biology (427 citations). Sayak Bhattacharya has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Pablo A. Iglesias, Peter N. Devreotes, Yuchuan Miao, Marc Edwards, Noah Weisleder, Liubov V. Gushchina, Huaqing Cai, Takanari Inoue, Karnam S. Murthy and John R. Grider. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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