D. Datta

19 papers receiving 388 citations

Peers

D. Datta
Comparison fields: 5 of 45
  • Surgery 291
  • Endocrinology, Diabetes and Metabolism 67
  • Cardiology and Cardiovascular Medicine 88
  • Cancer Research 46
  • Immunology 25
Replace Curtis Rambaran with:
Curtis Rambaran United Kingdom
Claudia Morozzi Italy
Rutger Verbeek Netherlands
Pascal Pfister Switzerland
Kiyohito Arai Japan
Konrad Schmidt Austria
E. Roeseler Germany
Kazuma Oyama United States
Yong-Un Kim United States
D. Datta relative to Curtis Rambaran United Kingdom Curtis Rambaran's profile →
Citations per field
00.5×6.7×
Curtis Rambaran · 1×
Citations per year

Countries citing papers authored by D. Datta

Since Specialization
Citations

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

Fields of papers citing papers by D. Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Datta Line = papers co-authored together D. Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019166
2 201598
3 201438
4 202324
5 201924
6 201913
7 20248
8 20247
9 20153
10 20173
11 20232
12 20252
13 20142
14 20202
15 20231
16 20231
17 20241
18 20161
19 20161
20 20230

About D. Datta

D. Datta is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 397 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Lipid metabolism and disorders (6 papers), Cancer, Lipids, and Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Streptococcal Infections and Treatments (1 paper), Ion Transport and Channel Regulation (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Surgery (291 citations), Endocrinology, Diabetes and Metabolism (67 citations), Cardiology and Cardiovascular Medicine (88 citations), Cancer Research (46 citations) and Immunology (25 citations). D. Datta has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jaimini Cegla, Handrean Soran, Robert Cramb, Gordon A. Ferns, Jules Payne, R. Dermot G. Neely, Ian McDowell, Peter Lansberg, Alan Rees and Sharon D. Whatley. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Health Technology Assessment, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Arteriosclerosis Thrombosis and Vascular Biology.

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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