Debanjan Mukherjee

93 total papers · 691 total citations
42 papers, 423 citations indexed

About

Debanjan Mukherjee is a scholar working on Pulmonary and Respiratory Medicine, Ocean Engineering and Computational Mechanics. According to data from OpenAlex, Debanjan Mukherjee has authored 42 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 11 papers in Ocean Engineering and 10 papers in Computational Mechanics. Recurrent topics in Debanjan Mukherjee's work include Cerebrovascular and Carotid Artery Diseases (7 papers), Coronary Interventions and Diagnostics (6 papers) and Blood properties and coagulation (5 papers). Debanjan Mukherjee is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (7 papers), Coronary Interventions and Diagnostics (6 papers) and Blood properties and coagulation (5 papers). Debanjan Mukherjee collaborates with scholars based in United States, India and Portugal. Debanjan Mukherjee's co-authors include Shawn C. Shadden, Tarek I. Zohdi, Jared Narvid, Maria M. Mota, Shelly L. Miller, Ângelo Ferreira Chora, Nicholas Clements, Jaiyoung Ryu, Ju Chen and Hiroshi Kataoka and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Debanjan Mukherjee

40 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Debanjan Mukherjee	144	105	84	70	64	42	423
Igor Šaveljić	132 0.9×	54 0.5×	132 1.6×	12 0.2×	43 0.7×	43	408
Jiro Kondo	145 1.0×	49 0.5×	188 2.2×	28 0.4×	35 0.5×	53	419
F. J. Walburn	129 0.9×	172 1.6×	192 2.3×	17 0.2×	132 2.1×	20	408
Hitomi Anzai	132 0.9×	113 1.1×	105 1.3×	13 0.2×	33 0.5×	46	396
Farzan Ghalichi	105 0.7×	121 1.2×	192 2.3×	11 0.2×	60 0.9×	40	467
Wojciech Kowalczyk	42 0.3×	67 0.6×	147 1.8×	37 0.5×	65 1.0×	55	489
Simon Tupin	138 1.0×	102 1.0×	97 1.2×	27 0.4×	45 0.7×	26	421
Kyle Cooper	134 0.9×	49 0.5×	189 2.3×	16 0.2×	21 0.3×	45	368
Giulia Soloperto	89 0.6×	85 0.8×	157 1.9×	24 0.3×	24 0.4×	27	417
Patrick H. Geoghegan	162 1.1×	117 1.1×	149 1.8×	14 0.2×	62 1.0×	34	453

Countries citing papers authored by Debanjan Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Debanjan Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debanjan Mukherjee

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