Sukanta Das

102 total papers · 1.7k total citations
63 papers, 1.2k citations indexed

About

Sukanta Das is a scholar working on Epidemiology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Sukanta Das has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 15 papers in Pathology and Forensic Medicine and 12 papers in Surgery. Recurrent topics in Sukanta Das's work include Liver Disease Diagnosis and Treatment (18 papers), Alcohol Consumption and Health Effects (14 papers) and Advanced Glycation End Products research (6 papers). Sukanta Das is often cited by papers focused on Liver Disease Diagnosis and Treatment (18 papers), Alcohol Consumption and Health Effects (14 papers) and Advanced Glycation End Products research (6 papers). Sukanta Das collaborates with scholars based in India, United States and France. Sukanta Das's co-authors include Natalia Nieto, Romain Désert, Hui Han, Xiaodong Ge, Zhuolun Song, Dipti Athavale, Wei Chen, Sushma Suri, G.P. Talwar and Jaswinder Singh Maras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and Hepatology.

In The Last Decade

Sukanta Das

55 papers receiving 1.1k citations

Hit Papers

Macrophage-derived Osteop... 2023 2026 2024 2023 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Sukanta Das 368 302 227 206 137 63 1.2k
Yuchang Li 340 0.9× 358 1.2× 151 0.7× 258 1.3× 77 0.6× 58 1.0k
Yoko Aoyagi 332 0.9× 309 1.0× 292 1.3× 229 1.1× 38 0.3× 59 1.0k
Irene Locatelli 553 1.5× 464 1.5× 181 0.8× 178 0.9× 51 0.4× 37 1.3k
Yasuhiko Tsutsumi 212 0.6× 213 0.7× 168 0.7× 178 0.9× 199 1.5× 66 1.0k
Patrizia Doldo 294 0.8× 186 0.6× 136 0.6× 114 0.6× 154 1.1× 65 1.2k
Min Wang 296 0.8× 246 0.8× 289 1.3× 132 0.6× 70 0.5× 118 1.3k
Shizuko Takahashi 223 0.6× 309 1.0× 69 0.3× 313 1.5× 108 0.8× 58 1.2k
H Takamizawa 405 1.1× 424 1.4× 189 0.8× 75 0.4× 151 1.1× 135 1.3k
Siobhán O’Connor 248 0.7× 281 0.9× 181 0.8× 81 0.4× 93 0.7× 51 1.1k
Tomoko Fujita 195 0.5× 374 1.2× 362 1.6× 94 0.5× 66 0.5× 57 1.3k

Countries citing papers authored by Sukanta Das

Since Specialization
Citations

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

Fields of papers citing papers by Sukanta Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukanta Das

This figure shows the co-authorship network connecting the top 25 collaborators of Sukanta Das. A scholar is included among the top collaborators of Sukanta Das 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 Sukanta Das. Sukanta Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026