D. Datta

729 citations
22 papers · 375 · h-index 7

Impact in

Papers in

D. Datta

19 papers receiving 367 citations

Peers

D. Datta
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 118
  • Surgery 293
  • Cardiology and Cardiovascular Medicine 127
  • Cancer Research 81
  • Economics and Econometrics 67
Replace Rutger Verbeek with:
Rutger Verbeek Netherlands
Arjen J. Cupido Netherlands
Kiyohito Arai Japan
E. Roeseler Germany
S. J. Leslie United States
Yong-Un Kim United States
Claudia Morozzi Italy
Konrad Schmidt Austria
Harald Elster Germany
D. Datta relative to Rutger Verbeek Netherlands Rutger Verbeek's profile →
Citations per field
00.5×1.5×
Rutger Verbeek · 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 2019156
2 201596
3 201437
4 202322
5 201921
6 201911
7 20248
8 20246
9 20153
10 20173
11 20232
12 20142
13 20202
14 20231
15 20231
16 20251
17 20241
18 20161
19 20161
20 20160

About D. Datta

D. Datta is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 375 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Lipid metabolism and disorders (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cancer, Lipids, and Metabolism (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Health and Medical Research Impacts (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (118 citations), Surgery (293 citations), Cardiology and Cardiovascular Medicine (127 citations), Cancer Research (81 citations) and Economics and Econometrics (67 citations). D. Datta has collaborated with scholars based in United Kingdom, United States and Iraq. Frequent co-authors include Jaimini Cegla, Handrean Soran, Gordon A. Ferns, Sharon D. Whatley, Peter Lansberg, Robert Cramb, Pauline Ashfield‐Watt, Ian McDowell, Jules Payne and Nigel Capps. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Health Technology Assessment, British Journal of Dermatology and Atherosclerosis Supplements.

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