Nathalie Eckel
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Matthias B. SchulzeNorbert StefanKarina MeidtnerYanping LiOlga KuxhausFrank B. HuJulia BaudryHeiner Boeing
- Topics
- Nutritional Studies and Diet (3 papers)Obesity, Physical Activity, Diet (2 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Nathalie Eckel
5 papers receiving 758 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Physiology 314
- Cardiology and Cardiovascular Medicine 263
- Endocrinology, Diabetes and Metabolism 258
- Public Health, Environmental and Occupational Health 222
- Epidemiology 207
Countries citing papers authored by Nathalie Eckel
This map shows the geographic impact of Nathalie Eckel'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 Nathalie Eckel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Eckel more than expected).
Fields of papers citing papers by Nathalie Eckel
This network shows the impact of papers produced by Nathalie Eckel. 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 Nathalie Eckel. The network helps show where Nathalie Eckel may publish in the future.
Co-authorship network of co-authors of Nathalie Eckel
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Eckel. A scholar is included among the top collaborators of Nathalie Eckel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathalie Eckel. Nathalie Eckel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90 257 women (the Nurses' Health Study): 30 year follow-up from a prospective cohort studybreakdown → | 303 |
| 3 | 80 | |
| 4 | 278 | |
| 5 | 27 |
About Nathalie Eckel
Nathalie Eckel is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 772 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (3 papers), Obesity, Physical Activity, Diet (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (258 citations), Physiology (314 citations) and Cardiology and Cardiovascular Medicine (263 citations). Nathalie Eckel has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Matthias B. Schulze, Norbert Stefan, Karina Meidtner, Yanping Li, Olga Kuxhaus, Frank B. Hu, Julia Baudry, Heiner Boeing, Kristin Mühlenbruch and Ingrid-Katharina Wolf. Their work appears in journals such as Metabolism, The Lancet Diabetes & Endocrinology and JAMA Network Open.
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.