Kanta Chechi

4.3k citations
19 papers · 758 · h-index 15

Impact in

Papers in

Kanta Chechi

19 papers receiving 743 citations

Peers

Kanta Chechi
Comparison fields: 5 of 89
  • Physiology 469
  • Cardiology and Cardiovascular Medicine 225
  • Endocrine and Autonomic Systems 59
  • Rehabilitation 59
  • Epidemiology 193
Replace Stella Dzienis-Straczkowska with:
Stella Dzienis-Straczkowska Poland
J Digby United Kingdom
C P Sewter United Kingdom
Margaret E. Griffin United States
Ji-Yun Jeong South Korea
Luis F. Del Aguila United States
Yvonne Essers Netherlands
Timo Kanninen Sweden
Silvia Ezquerro Spain
M. Guerre-Millo France
Kanta Chechi relative to Stella Dzienis-Straczkowska Poland Stella Dzienis-Straczkowska's profile →
Citations per field
00.5×5.5×
Stella Dzienis-Straczkowska · 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

19 of 19 papers shown
#Work
1 2022125
2 201379
3 201673
4 201373
5 201255
6 201747
7 201244
8 201240
9 201934
10 202331
11 201030
12
Maternal diet rich in saturated fats has deleterious effects on plasma lipids of mice.
200630
13 201728
14 201526
15 200923
16 201010
17 20105
18 20104
19 20061

About Kanta Chechi

Kanta Chechi is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Epidemiology and Nutrition and Dietetics, having authored 19 papers that have together received 758 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Cardiovascular Disease and Adiposity (8 papers), Fatty Acid Research and Health (5 papers), Birth, Development, and Health (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diet and metabolism studies (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Physiology (469 citations), Cardiology and Cardiovascular Medicine (225 citations), Endocrine and Autonomic Systems (59 citations), Rehabilitation (59 citations) and Epidemiology (193 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, Yves Deshaies, Sébastien M. Labbé, Mathieu Laplante, Alexandre Caron and Roger Lecomte. Their work appears in journals such as Obesity Reviews, Nature Medicine, Scientific Reports, Nutrition and Metabolic Insights and International Journal of Cardiology.

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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