Tania Chakrabarty

12 total papers · 561 total citations
5 papers, 456 citations indexed

About

Tania Chakrabarty is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tania Chakrabarty has authored 5 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tania Chakrabarty's work include Cardiomyopathy and Myosin Studies (2 papers), Electrowetting and Microfluidic Technologies (1 paper) and Advanced MRI Techniques and Applications (1 paper). Tania Chakrabarty is often cited by papers focused on Cardiomyopathy and Myosin Studies (2 papers), Electrowetting and Microfluidic Technologies (1 paper) and Advanced MRI Techniques and Applications (1 paper). Tania Chakrabarty collaborates with scholars based in United States. Tania Chakrabarty's co-authors include Paul R. Selvin, Roger Cooke, Ming Xiao, Elise Burmeister Getz, H. Lee Sweeney, Sookie S. Bang, Elaine P. Lunsford, David E. Sterner, Siqing Liu and Eric T. Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Analytical Biochemistry.

In The Last Decade

Tania Chakrabarty

5 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Tania Chakrabarty	284	66	53	52	51	5	456
Piergiorgio Righetti	305 1.1×	52 0.8×	21 0.4×	18 0.3×	54 1.1×	6	517
Volker Kurze	241 0.8×	32 0.5×	36 0.7×	37 0.7×	89 1.7×	8	422
Aaron Watts	261 0.9×	63 1.0×	67 1.3×	20 0.4×	26 0.5×	7	491
Robert C. Morton	236 0.8×	93 1.4×	46 0.9×	104 2.0×	40 0.8×	12	493
Neil C. Pomroy	298 1.0×	35 0.5×	25 0.5×	18 0.3×	17 0.3×	10	441
Steven C. Powell	216 0.8×	41 0.6×	191 3.6×	36 0.7×	24 0.5×	11	515
Mark J. Hunter	334 1.2×	43 0.7×	46 0.9×	24 0.5×	9 0.2×	8	449
Sachin Bagde	178 0.6×	15 0.2×	34 0.6×	15 0.3×	66 1.3×	5	505
Herald Reiersen	284 1.0×	27 0.4×	41 0.8×	69 1.3×	65 1.3×	10	504
Ayano Fukuhara	363 1.3×	27 0.4×	26 0.5×	32 0.6×	47 0.9×	12	536

Countries citing papers authored by Tania Chakrabarty

Since Specialization

Citations

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

Fields of papers citing papers by Tania Chakrabarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tania Chakrabarty

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