Jaimini Cegla

1.6k citations
44 papers · 808 · h-index 13

Impact in

Papers in

Jaimini Cegla

39 papers receiving 781 citations

Peers

Jaimini Cegla
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 232
  • Surgery 446
  • Endocrine and Autonomic Systems 42
  • Cardiology and Cardiovascular Medicine 103
  • Pharmacology 66
Replace Daniel Soffer with:
Daniel Soffer United States
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Juan Patricio Nogueira Argentina
Toshihiko Shiraiwa Japan
Andrew D. Sumner United States
Cesare Berra Italy
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Wenjia Yang China
Jun‐Sing Wang Taiwan
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Citations per field
00.5×3.5×
Daniel Soffer · 1×
Citations per year

Countries citing papers authored by Jaimini Cegla

Since Specialization
Citations

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

Fields of papers citing papers by Jaimini Cegla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jaimini Cegla, 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 Jaimini Cegla Line = papers co-authored together Jaimini Cegla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019166
2 2014137
3 2021124
4 202076
5 201732
6 202131
7 202229
8 202324
9 201924
10 201217
11 201515
12 201014
13 202214
14 201712
15 201611
16 201911
17 201810
18 20167
19 20226
20 20235

About Jaimini Cegla

Jaimini Cegla is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 808 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (16 papers), Cancer, Lipids, and Metabolism (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Diabetes Treatment and Management (5 papers), Lipid metabolism and disorders (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Pharmacology and Obesity Treatment (3 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (232 citations), Surgery (446 citations), Endocrine and Autonomic Systems (42 citations), Cardiology and Cardiovascular Medicine (103 citations) and Pharmacology (66 citations). Jaimini Cegla has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include R. Dermot G. Neely, Tricia Tan, Michael France, Ben Jones, Santica M. Marcovina, Stephen R. Bloom, D. Datta, Handrean Soran, Jules Payne and Karim Meeran. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Atherosclerosis, Journal of clinical lipidology, Heart and Clinical Endocrinology.

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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