Debashis Haldar

30 total papers · 740 total citations
17 papers, 308 citations indexed

About

Debashis Haldar is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Debashis Haldar has authored 17 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 10 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Debashis Haldar's work include Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (5 papers) and Liver Diseases and Immunity (4 papers). Debashis Haldar is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (5 papers) and Liver Diseases and Immunity (4 papers). Debashis Haldar collaborates with scholars based in United Kingdom, United States and Canada. Debashis Haldar's co-authors include Philip N. Newsome, Gideon M. Hirschfield, Neil C. Henderson, Chris J. Weston, Gary Reynolds, David Adams, Andrew King, Janine Fear, Amy J. Naylor and Christopher D. Buckley and has published in prestigious journals such as Nature Communications, Gastroenterology and Gut.

In The Last Decade

Debashis Haldar

14 papers receiving 303 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 Haldar 162 115 109 71 53 17 308
Xu Fan 88 0.5× 96 0.8× 42 0.4× 123 1.7× 9 0.2× 18 309
Pierre Foskett 70 0.4× 80 0.7× 134 1.2× 57 0.8× 93 1.8× 21 347
Azza Karrar 116 0.7× 100 0.9× 87 0.8× 81 1.1× 27 0.5× 15 314
Soichi Sugitani 167 1.0× 107 0.9× 56 0.5× 79 1.1× 13 0.2× 14 308
Michihiko Takesue 205 1.3× 99 0.9× 158 1.4× 96 1.4× 16 0.3× 18 355
Toshinori Harada 151 0.9× 155 1.3× 64 0.6× 50 0.7× 45 0.8× 16 321
Hualian Hang 128 0.8× 61 0.5× 152 1.4× 131 1.8× 59 1.1× 20 337
Qianqian Zhang 122 0.8× 143 1.2× 49 0.4× 92 1.3× 7 0.1× 28 349
Kazuyoshi Hirayama 60 0.4× 56 0.5× 83 0.8× 80 1.1× 9 0.2× 21 349
Ying Liu 202 1.2× 118 1.0× 59 0.5× 47 0.7× 4 0.1× 25 316

Countries citing papers authored by Debashis Haldar

Since Specialization
Citations

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

Fields of papers citing papers by Debashis Haldar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashis Haldar

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