Titas Sengupta

29 total papers · 703 total citations
13 papers, 301 citations indexed

About

Titas Sengupta is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Titas Sengupta has authored 13 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aging, 6 papers in Molecular Biology and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Titas Sengupta's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Gut microbiota and health (3 papers) and Circadian rhythm and melatonin (3 papers). Titas Sengupta is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Gut microbiota and health (3 papers) and Circadian rhythm and melatonin (3 papers). Titas Sengupta collaborates with scholars based in United States, India and United Kingdom. Titas Sengupta's co-authors include Sanchari Datta, Bidisha Sinha, Daniel A. Colón‐Ramos, Min Guo, Mark W. Moyle, Ryan Christensen, Hari Shroff, Yicong Wu, Walter Paulus and Zsolt Turi and has published in prestigious journals such as Nature, Nature Communications and Nature Methods.

In The Last Decade

Titas Sengupta

12 papers receiving 297 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Titas Sengupta	100	58	56	51	41	13	301
Emma Garren	162 1.6×	42 0.7×	62 1.1×	36 0.7×	154 3.8×	7	347
Giannis Voglis	78 0.8×	48 0.8×	71 1.3×	24 0.5×	158 3.9×	13	357
Airong Li	140 1.4×	61 1.1×	8 0.1×	92 1.8×	88 2.1×	15	358
Jacqueline Morris	213 2.1×	14 0.2×	12 0.2×	25 0.5×	89 2.2×	13	362
Sagar Setru	90 0.9×	58 1.0×	111 2.0×	23 0.5×	96 2.3×	13	343
Georgia Rapti	137 1.4×	12 0.2×	131 2.3×	15 0.3×	80 2.0×	11	297
Jasper Janssens	149 1.5×	14 0.2×	17 0.3×	12 0.2×	80 2.0×	12	250
Huanjie Sheng	178 1.8×	22 0.4×	12 0.2×	9 0.2×	44 1.1×	7	359
Lyndsey M. Kirk	119 1.2×	61 1.1×	5 0.1×	37 0.7×	96 2.3×	11	323
Noémie Danné	48 0.5×	24 0.4×	8 0.1×	71 1.4×	48 1.2×	8	258

Countries citing papers authored by Titas Sengupta

Since Specialization

Citations

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

Fields of papers citing papers by Titas Sengupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Titas Sengupta

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

All Works

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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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