Subhadip Senapati

40 total papers · 463 total citations
25 papers, 359 citations indexed

About

Subhadip Senapati is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Subhadip Senapati has authored 25 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Subhadip Senapati's work include Photoreceptor and optogenetics research (7 papers), Retinal Development and Disorders (5 papers) and Force Microscopy Techniques and Applications (4 papers). Subhadip Senapati is often cited by papers focused on Photoreceptor and optogenetics research (7 papers), Retinal Development and Disorders (5 papers) and Force Microscopy Techniques and Applications (4 papers). Subhadip Senapati collaborates with scholars based in United States, India and Poland. Subhadip Senapati's co-authors include Paul S.‐H. Park, Stuart Lindsay, Stuart Lindsay, Peiming Zhang, Saikat Manna, Samuel E. Senyo, Vipul M. Parmar, Akiko Maeda, Tatini Rakshit and Ivy S. Samuels and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Subhadip Senapati

25 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Subhadip Senapati	211	80	68	51	47	25	359
J. C. Bernengo	114 0.5×	78 1.0×	17 0.3×	34 0.7×	55 1.2×	24	394
Petteri Parkkila	177 0.8×	22 0.3×	14 0.2×	23 0.5×	20 0.4×	21	389
Mengyuan Xie	85 0.4×	42 0.5×	21 0.3×	23 0.5×	14 0.3×	42	349
Daniel Ramirez	282 1.3×	28 0.3×	32 0.5×	22 0.4×	70 1.5×	20	397
Šárka Jelínková	146 0.7×	32 0.4×	82 1.2×	47 0.9×	37 0.8×	20	310
Nicolas R. Chevalier	115 0.5×	21 0.3×	26 0.4×	65 1.3×	87 1.9×	31	379
Jiannan Fan	118 0.6×	26 0.3×	29 0.4×	72 1.4×	29 0.6×	16	359
Ying Wang	103 0.5×	57 0.7×	11 0.2×	15 0.3×	38 0.8×	42	303
Dominik Drabik	196 0.9×	39 0.5×	20 0.3×	27 0.5×	50 1.1×	23	356
Takafumi Ichikawa	179 0.8×	12 0.1×	72 1.1×	56 1.1×	147 3.1×	24	385

Countries citing papers authored by Subhadip Senapati

Since Specialization

Citations

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

Fields of papers citing papers by Subhadip Senapati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhadip Senapati

This figure shows the co-authorship network connecting the top 25 collaborators of Subhadip Senapati. A scholar is included among the top collaborators of Subhadip Senapati 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 Subhadip Senapati. Subhadip Senapati 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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