Debajyoti Datta

54 total papers · 755 total citations
16 papers, 159 citations indexed

About

Debajyoti Datta is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Debajyoti Datta has authored 16 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Debajyoti Datta's work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Spinal Dysraphism and Malformations (3 papers) and COVID-19 Clinical Research Studies (2 papers). Debajyoti Datta is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Spinal Dysraphism and Malformations (3 papers) and COVID-19 Clinical Research Studies (2 papers). Debajyoti Datta collaborates with scholars based in India, United States and Canada. Debajyoti Datta's co-authors include James A. Wells, M.J. Romanowski, Justin M. Scheer, Christopher L. McClendon, Matthew P. Jacobson, Edwin R. Chapman, Enfu Hui, Victor Shahin, J. Michael Edwardson and Robert M. Henderson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Debajyoti Datta

12 papers receiving 156 citations

Author Peers

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

Author						Papers	Cites
Debajyoti Datta	126	22	22	20	18	16	159
Ho-Tak Lau	232 1.8×	38 1.7×	19 0.9×	11 0.6×	10 0.6×	15	279
Fen Pei	127 1.0×	9 0.4×	15 0.7×	37 1.9×	31 1.7×	20	244
Carine Derviaux	201 1.6×	27 1.2×	12 0.5×	54 2.7×	17 0.9×	11	264
Kellie Cartledge	121 1.0×	14 0.6×	51 2.3×	20 1.0×	20 1.1×	13	174
Rabindra V. Shivnaraine	145 1.2×	10 0.5×	9 0.4×	36 1.8×	10 0.6×	12	219
Martin E. Guerrero-Gimenez	181 1.4×	46 2.1×	22 1.0×	9 0.5×	7 0.4×	15	239
Vincent Laville	91 0.7×	24 1.1×	31 1.4×	40 2.0×	8 0.4×	22	225
Deepali Gotur	148 1.2×	9 0.4×	19 0.9×	16 0.8×	8 0.4×	13	215
Michèle Learmonth	169 1.3×	43 2.0×	12 0.5×	10 0.5×	16 0.9×	19	224
Fabian Frommelt	219 1.7×	52 2.4×	11 0.5×	17 0.8×	9 0.5×	18	283

Countries citing papers authored by Debajyoti Datta

Since Specialization

Citations

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

Fields of papers citing papers by Debajyoti Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debajyoti Datta

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