Tanushree Dangi

49 total papers · 722 total citations
25 papers, 414 citations indexed

About

Tanushree Dangi is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Tanushree Dangi has authored 25 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 11 papers in Epidemiology and 9 papers in Immunology. Recurrent topics in Tanushree Dangi's work include Respiratory viral infections research (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (7 papers). Tanushree Dangi is often cited by papers focused on Respiratory viral infections research (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (7 papers). Tanushree Dangi collaborates with scholars based in United States, India and Philippines. Tanushree Dangi's co-authors include Pablo Penaloza‐MacMaster, Nicole Palacio, Justin M. Richner, Amita Jain, Young Rock Chung, Bhawana Jain, Igor J. Koralnik, Lavanya Visvabharathy, Rashmi Kumar and Ajay Singh and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Tanushree Dangi

22 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
Tanushree Dangi	237	146	91	84	54	25	414
Ria Lassaunière	260 1.1×	130 0.9×	79 0.9×	58 0.7×	55 1.0×	33	436
Laura Klenow	258 1.1×	186 1.3×	57 0.6×	122 1.5×	43 0.8×	19	454
Shaofeng Deng	359 1.5×	72 0.5×	63 0.7×	100 1.2×	99 1.8×	21	493
Clare Burn Aschner	202 0.9×	222 1.5×	104 1.1×	44 0.5×	59 1.1×	16	463
Colin Mann	255 1.1×	83 0.6×	116 1.3×	111 1.3×	35 0.6×	18	439
Zhaomin Feng	181 0.8×	170 1.2×	40 0.4×	125 1.5×	32 0.6×	37	421
Alwin de Jong	109 0.5×	141 1.0×	121 1.3×	70 0.8×	35 0.6×	21	383
Gabrielle Grubbs	288 1.2×	83 0.6×	76 0.8×	79 0.9×	57 1.1×	21	416
Deniz Cizmeci	251 1.1×	123 0.8×	169 1.9×	76 0.9×	20 0.4×	28	425
Tamarand L. Darling	337 1.4×	83 0.6×	127 1.4×	66 0.8×	47 0.9×	16	443

Countries citing papers authored by Tanushree Dangi

Since Specialization

Citations

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

Fields of papers citing papers by Tanushree Dangi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanushree Dangi

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