Elko Randrianarisoa
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Co-authors
- Hans‐Ulrich HäringAndreas FritscheNorbert StefanAndreas PeterJürgen MachannFritz SchickRóbert WágnerBernd Balletshofer
- Topics
- Cardiovascular Disease and Adiposity (5 papers)Cardiovascular Health and Disease Prevention (5 papers)Diet, Metabolism, and Disease (4 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Elko Randrianarisoa
22 papers receiving 810 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 311
- Physiology 269
- Endocrinology, Diabetes and Metabolism 188
- Cardiology and Cardiovascular Medicine 131
- Epidemiology 126
Countries citing papers authored by Elko Randrianarisoa
This map shows the geographic impact of Elko Randrianarisoa'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 Elko Randrianarisoa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elko Randrianarisoa more than expected).
Fields of papers citing papers by Elko Randrianarisoa
This network shows the impact of papers produced by Elko Randrianarisoa. 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 Elko Randrianarisoa. The network helps show where Elko Randrianarisoa may publish in the future.
Co-authorship network of co-authors of Elko Randrianarisoa
This figure shows the co-authorship network connecting the top 25 collaborators of Elko Randrianarisoa. A scholar is included among the top collaborators of Elko Randrianarisoa 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 Elko Randrianarisoa. Elko Randrianarisoa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetesbreakdown → | 210 |
| 3 | 24 | |
| 4 | 46 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 38 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 38 | |
| 15 | 248 | |
| 16 | 28 | |
| 17 | 53 | |
| 18 | 16 | |
| 19 | 2 | |
| 20 | 36 |
About Elko Randrianarisoa
Elko Randrianarisoa is a scholar working on Internal Medicine, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 820 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (5 papers), Cardiovascular Health and Disease Prevention (5 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (188 citations), Physiology (269 citations) and Biological Psychiatry (24 citations). Elko Randrianarisoa has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Hans‐Ulrich Häring, Andreas Fritsche, Norbert Stefan, Andreas Peter, Jürgen Machann, Fritz Schick, Róbert Wágner, Bernd Balletshofer, Martin Heni and Angela Lehn‐Stefan. Their work appears in journals such as Nature Medicine, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.