Mario Kratz
- Physiology top 1%
- Epidemiology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Jessica N. KuzmaDerek HagmanStephan J. GuyenetTon BaarsKelsey A. SchmidtUrsel WahrburgMaggie S. BurhansKristina M. Utzschneider
- Topics
- Diet and metabolism studies (33 papers)Nutritional Studies and Diet (26 papers)Adipokines, Inflammation, and Metabolic Diseases (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Mario Kratz
107 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Physiology 1.9k
- Epidemiology 1.2k
- Public Health, Environmental and Occupational Health 912
- Molecular Biology 876
- Endocrinology, Diabetes and Metabolism 802
Countries citing papers authored by Mario Kratz
This map shows the geographic impact of Mario Kratz'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 Mario Kratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Kratz more than expected).
Fields of papers citing papers by Mario Kratz
This network shows the impact of papers produced by Mario Kratz. 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 Mario Kratz. The network helps show where Mario Kratz may publish in the future.
Co-authorship network of co-authors of Mario Kratz
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Kratz. A scholar is included among the top collaborators of Mario Kratz 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 Mario Kratz. Mario Kratz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 36 | |
| 5 | 17 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 58 | |
| 10 | 10 | |
| 11 | 13 | |
| 12 | 178 | |
| 13 | Contribution of Adipose Tissue Inflammation to the Development of Type 2 Diabetes Mellitusbreakdown → | 307 |
| 14 | 14 | |
| 15 | 152 | |
| 16 | 30 | |
| 17 | 74 | |
| 18 | 53 | |
| 19 | 319 | |
| 20 | 53 |
About Mario Kratz
Mario Kratz is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 109 papers that have together received 5.1k indexed citations. Recurring topics across this work include Diet and metabolism studies (33 papers), Nutritional Studies and Diet (26 papers) and Adipokines, Inflammation, and Metabolic Diseases (23 papers). The work is most often cited by research in Physiology (1.9k citations), Endocrinology, Diabetes and Metabolism (802 citations) and Nutrition and Dietetics (739 citations). Mario Kratz has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Jessica N. Kuzma, Derek Hagman, Stephan J. Guyenet, Ton Baars, Kelsey A. Schmidt, Ursel Wahrburg, Maggie S. Burhans, Kristina M. Utzschneider, Paul Cullen and Johanna W. Lampe. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.