Debashis Dutta

37 total papers · 956 total citations
26 papers, 689 citations indexed

About

Debashis Dutta is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Debashis Dutta has authored 26 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Neurology and 9 papers in Physiology. Recurrent topics in Debashis Dutta's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Alzheimer's disease research and treatments (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Debashis Dutta is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Alzheimer's disease research and treatments (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Debashis Dutta collaborates with scholars based in United States, India and Russia. Debashis Dutta's co-authors include Kalipada Pahan, Kochupurackal P. Mohanakumar, Malabendu Jana, Amit K. Naskar, R. P. Singh, Avik Roy, Ramesh Kumar Paidi, Susanta Mondal, Sumita Raha and Joy Chakraborty and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Debashis Dutta

26 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Debashis Dutta 240 179 177 176 160 26 689
Suresh B. Rangasamy 170 0.7× 154 0.9× 154 0.9× 181 1.0× 185 1.2× 23 598
Taysa Bervian Bassani 170 0.7× 191 1.1× 196 1.1× 190 1.1× 200 1.3× 19 731
José Enrique Yuste 188 0.8× 134 0.7× 134 0.8× 237 1.3× 150 0.9× 20 608
Julia E. Sepúlveda-Díaz 266 1.1× 205 1.1× 199 1.1× 199 1.1× 135 0.8× 19 767
Xiaoli Gong 246 1.0× 189 1.1× 115 0.6× 136 0.8× 208 1.3× 39 780
Huapin Huang 202 0.8× 107 0.6× 233 1.3× 237 1.3× 95 0.6× 43 732
Bevan S. Main 229 1.0× 232 1.3× 132 0.7× 211 1.2× 134 0.8× 16 632
Xiuna Jing 279 1.2× 141 0.8× 181 1.0× 155 0.9× 91 0.6× 24 680
Zhengwei Hu 310 1.3× 121 0.7× 183 1.0× 113 0.6× 102 0.6× 36 624
Poonam Goswami 219 0.9× 106 0.6× 113 0.6× 103 0.6× 121 0.8× 24 595

Countries citing papers authored by Debashis Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Debashis Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashis Dutta

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