Jaimini Cegla

1.5k citations
41 papers · 740 · h-index 13

Impact in

Papers in

Jaimini Cegla

38 papers receiving 717 citations

Peers

Jaimini Cegla
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 302
  • Surgery 462
  • Endocrine and Autonomic Systems 49
  • Cardiology and Cardiovascular Medicine 153
  • Cancer Research 83
Replace Daniel Soffer with:
Daniel Soffer United States
Juan Patricio Nogueira Argentina
Paulina Gorzelak‐Pabiś Poland
Philip H. Frost United States
Christian Hengstenberg Germany
Toshihiko Shiraiwa Japan
Carlo Pirazzi Sweden
Jun‐Sing Wang Taiwan
Anne Q. Reuwer Netherlands
Cesare Berra Italy
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Citations per field
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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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 2014131
3 2021116
4 202065
5 201731
6 202125
7 202224
8 202322
9 201921
10 201217
11 201515
12 202212
13 201712
14 201911
15 201011
16 201611
17 20189
18 20167
19 20235
20 20235

About Jaimini Cegla

Jaimini Cegla is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Economics and Econometrics, having authored 41 papers that have together received 740 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cancer, Lipids, and Metabolism (6 papers), Diabetes Treatment and Management (5 papers), Lipid metabolism and disorders (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (302 citations), Surgery (462 citations), Endocrine and Autonomic Systems (49 citations), Cardiology and Cardiovascular Medicine (153 citations) and Cancer Research (83 citations). Jaimini Cegla has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Tricia Tan, R. Dermot G. Neely, Michael France, Ben Jones, Santica M. Marcovina, Stephen R. Bloom, Handrean Soran, D. Datta, Karim Meeran and Julia Kenkre. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Atherosclerosis, Journal of clinical lipidology, Clinical Endocrinology and 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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