Kanta Chechi

19 papers receiving 793 citations

Peers

Kanta Chechi
Comparison fields: 5 of 84
  • Physiology 456
  • Cardiology and Cardiovascular Medicine 222
  • Endocrine and Autonomic Systems 59
  • Rehabilitation 55
  • Epidemiology 171
Replace C P Sewter with:
C P Sewter United Kingdom
J Digby United Kingdom
Émilie Montastier France
Jeanene M. de Avila United States
Luis F. Del Aguila United States
V J Heiling United States
Jianrong Han United States
Sonja Valentić Croatia
Yvonne Essers Netherlands
Anthony R. Angueira United States
Kanta Chechi relative to C P Sewter United Kingdom C P Sewter's profile →
Citations per field
00.5×10×15×18.8×
C P Sewter · 1×
Citations per year

Countries citing papers authored by Kanta Chechi

Since Specialization
Citations

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

Fields of papers citing papers by Kanta Chechi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2022138
2 201383
3 201678
4 201375
5 201257
6 201751
7 201244
8 201242
9 202340
10 201938
11
Maternal diet rich in saturated fats has deleterious effects on plasma lipids of mice.
200631
12 201030
13 201729
14 201527
15 200924
16 201011
17 20105
18 20104
19 20061
20 20060

About Kanta Chechi

Kanta Chechi is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Epidemiology, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 808 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Cardiovascular Disease and Adiposity (9 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Fatty Acid Research and Health (4 papers), Birth, Development, and Health (3 papers), Gut microbiota and health (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Physiology (456 citations), Cardiology and Cardiovascular Medicine (222 citations), Endocrine and Autonomic Systems (59 citations), Rehabilitation (55 citations) and Epidemiology (171 citations). Kanta Chechi has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Denis Richard, Sukhinder Kaur Cheema, Patrick Mathieu, André C. Carpentier, Jan Nedergaard, Sébastien M. Labbé, Yves Deshaies, Mathieu Laplante, Roger Lecomte and Alexandre Caron. Their work appears in journals such as Frontiers in Endocrinology, British Journal Of Nutrition, American Journal of Physiology-Endocrinology and Metabolism, International Journal of Cardiology and JCI Insight.

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