Anindita Sen

926 total citations
10 papers, 743 citations indexed

About

Anindita Sen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Anindita Sen has authored 10 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Epidemiology. Recurrent topics in Anindita Sen's work include Adipose Tissue and Metabolism (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cellular Mechanics and Interactions (3 papers). Anindita Sen is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cellular Mechanics and Interactions (3 papers). Anindita Sen collaborates with scholars based in United States and India. Anindita Sen's co-authors include William H. Okamura, Anthony W. Norman, Michael B. Zemel, Hang Shi, Yuan‐Di C. Halvorsen, Y. Reneé Lea-Currie, William O. Wilkison, Dawn M. Franklin, Jeffrey M. Gimble and Joseph M. Chalovich and has published in prestigious journals such as Biochemistry, The FASEB Journal and Metabolism.

In The Last Decade

Anindita Sen

10 papers receiving 715 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anindita Sen United States	8	270	235	191	179	139	10	743
S Eneström Sweden	19	80 0.3×	138 0.6×	133 0.7×	111 0.6×	46 0.3×	39	1.1k
João Régis Ivar Carneiro Brazil	14	188 0.7×	86 0.4×	83 0.4×	36 0.2×	106 0.8×	51	690
Giulia Maurizi Italy	17	291 1.1×	344 1.5×	372 1.9×	14 0.1×	229 1.6×	23	1.1k
Anthony J. Acton United States	13	109 0.4×	34 0.1×	176 0.9×	61 0.3×	43 0.3×	33	623
Kavitha Ramaswamy United States	9	150 0.6×	86 0.4×	176 0.9×	57 0.3×	62 0.4×	21	808
Hongbin Zhang China	12	120 0.4×	28 0.1×	238 1.2×	209 1.2×	81 0.6×	28	910
Filomena Napolitano Italy	16	79 0.3×	44 0.2×	166 0.9×	55 0.3×	91 0.7×	46	626
Chiaki Murakami Japan	7	413 1.5×	54 0.2×	219 1.1×	23 0.1×	551 4.0×	21	1.3k
Ayako Matsunuma Japan	8	85 0.3×	19 0.1×	325 1.7×	198 1.1×	76 0.5×	10	953

Countries citing papers authored by Anindita Sen

Since Specialization

Citations

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

Fields of papers citing papers by Anindita Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindita Sen

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

All Works

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10 of 10 papers shown

Sen, Anindita, et al.. (2018). A study of onychomycosis at a tertiary care hospital in Eastern Bihar. Indian Journal of Dermatology. 63(2). 141–141. 7 indexed citations

Sen, Anindita, et al.. (2017). Childhood Brucellosis in Eastern India. The Indian Journal of Pediatrics. 85(4). 266–271. 10 indexed citations

Sen, Anindita, et al.. (2016). BRUCELLAR UVEITIS IN EASTERN INDIA. Asian Journal of Pharmaceutical and Clinical Research. 9(6). 196–196. 2 indexed citations

Yan, Bo, Anindita Sen, Joseph M. Chalovich, & Yi-der Chen. (2003). Theoretical Studies on Competitive Binding of Caldesmon and Myosin S1 to Actin: Prediction of Apparent Cooperativity in Equilibrium and Slow-Down in Kinetics of S1 Binding by Caldesmon. Biochemistry. 42(14). 4208–4216. 8 indexed citations

Shi, Hang, Anthony W. Norman, William H. Okamura, Anindita Sen, & Michael B. Zemel. (2002). 1α,25‐dihydroxyvitamin D ₃ inhibits uncoupling protein 2 expression in human adipocytes. The FASEB Journal. 16(13). 1–20. 119 indexed citations

Sen, Anindita, Yi-der Chen, Bo Yan, & Joseph M. Chalovich. (2001). Caldesmon Reduces the Apparent Rate of Binding of Myosin S1 to Actin−Tropomyosin. Biochemistry. 40(19). 5757–5764. 15 indexed citations

Sen, Anindita, Y. Reneé Lea-Currie, Dawn M. Franklin, et al.. (2001). Adipogenic potential of human adipose derived stromal cells from multiple donors is heterogeneous. Journal of Cellular Biochemistry. 81(2). 312–319. 213 indexed citations

Halvorsen, Yuan‐Di C., Anindita Sen, Dawn M. Franklin, et al.. (2001). Thiazolidinediones and glucocorticoids synergistically induce differentiation of human adipose tissue stromal cells: Biochemical, cellular, and molecular analysis. Metabolism. 50(4). 407–413. 165 indexed citations

Shi, Hang, Anthony W. Norman, William H. Okamura, Anindita Sen, & Michael B. Zemel. (2001). 1α,25‐Dihydroxyvitamin D ₃ modulates human adipocyte metabolism via nongenomic action. The FASEB Journal. 15(14). 1–15. 195 indexed citations

10.

Sen, Anindita & Joseph M. Chalovich. (1998). Caldesmon−Actin−Tropomyosin Contains Two Types of Binding Sites for Myosin S1. Biochemistry. 37(20). 7526–7531. 9 indexed citations

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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