Tanushree Agrawal

41 total papers · 420 total citations
23 papers, 232 citations indexed

About

Tanushree Agrawal is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Tanushree Agrawal has authored 23 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Cardiology and Cardiovascular Medicine and 8 papers in Epidemiology. Recurrent topics in Tanushree Agrawal's work include Mechanical Circulatory Support Devices (7 papers), Cardiac Structural Anomalies and Repair (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Tanushree Agrawal is often cited by papers focused on Mechanical Circulatory Support Devices (7 papers), Cardiac Structural Anomalies and Repair (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Tanushree Agrawal collaborates with scholars based in United States, Saudi Arabia and Egypt. Tanushree Agrawal's co-authors include Khurram Nasir, Miguel Cainzos‐Achirica, Bincy Abraham, Amit K. Dey, Isaac Acquah, Kerri Glassner, Nehal N. Mehta, Eamonn M.M. Quigley, Sherif F. Nagueh and Mahwash Kassi and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Tanushree Agrawal

21 papers receiving 225 citations

Author Peers

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

Author						Papers	Cites
Tanushree Agrawal	106	64	64	62	52	23	232
Yangyang Fu	122 1.2×	62 1.0×	29 0.5×	97 1.6×	35 0.7×	24	270
Gang Han	98 0.9×	46 0.7×	12 0.2×	46 0.7×	27 0.5×	22	272
Dara Walsh	178 1.7×	56 0.9×	40 0.6×	39 0.6×	16 0.3×	21	281
Carl J. Levinson	141 1.3×	63 1.0×	33 0.5×	57 0.9×	13 0.3×	17	328
Michelle Mendiola	86 0.8×	20 0.3×	39 0.6×	25 0.4×	50 1.0×	29	214
Vincenzo Polizzi	126 1.2×	9 0.1×	76 1.2×	64 1.0×	104 2.0×	28	319
Shishir Murarka	93 0.9×	10 0.2×	25 0.4×	34 0.5×	140 2.7×	23	269
Piotr Kołsut	121 1.1×	11 0.2×	35 0.5×	72 1.2×	208 4.0×	35	329
Susan Farkas	66 0.6×	17 0.3×	17 0.3×	22 0.4×	43 0.8×	18	256
Jacqueline Szmuszkovicz	130 1.2×	12 0.2×	28 0.4×	22 0.4×	58 1.1×	23	215

Countries citing papers authored by Tanushree Agrawal

Since Specialization

Citations

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

Fields of papers citing papers by Tanushree Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanushree Agrawal

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