Markus Jähnert
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
-
- Diet, Metabolism, and Disease
Papers in
-
- Epigenetics and DNA Methylation 4
- Metabolism, Diabetes, and Cancer 3
- RNA modifications and cancer 3
- Physiology 13
- Adipose Tissue and Metabolism 8
- Diet and metabolism studies 4
- Co-authors
- Annette Schürmann (38 shared papers)Robert W. Schwenk (4 shared papers)Pascal Gottmann (16 shared papers)Wenke Jonas (10 shared papers)Meriem Ouni (16 shared papers)Heike Vogel (12 shared papers)Sophie Saussenthaler (5 shared papers)Nicole Hallahan (3 shared papers)
- Journals
- Molecular Metabolism (8 papers)International Journal of Molecular Sciences (5 papers)Diabetes (4 papers)Frontiers in Physiology (2 papers)Scientific Reports (2 papers)
- Partner nations
- GermanySwedenUnited Kingdom
In The Last Decade
Markus Jähnert
40 papers receiving 696 citations
Peers
Comparison fields: 5 of 77
- Physiology 194
- Endocrinology, Diabetes and Metabolism 100
- Cancer Research 71
- Molecular Biology 286
- Epidemiology 111
Countries citing papers authored by Markus Jähnert
This map shows the geographic impact of Markus Jähnert'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 Markus Jähnert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Jähnert more than expected).
Fields of papers citing papers by Markus Jähnert
This network shows the impact of papers produced by Markus Jähnert. 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 Markus Jähnert. The network helps show where Markus Jähnert may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Jähnert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2019 | 57 | |
| 3 | 2018 | 49 | |
| 4 | 2018 | 49 | |
| 5 | 2015 | 48 | |
| 6 | 2016 | 46 | |
| 7 | 2013 | 45 | |
| 8 | 2019 | 44 | |
| 9 | 2019 | 36 | |
| 10 | 2015 | 35 | |
| 11 | 2020 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2023 | 22 | |
| 14 | 2021 | 19 | |
| 15 | 2015 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2024 | 8 |
About Markus Jähnert
Markus Jähnert is a scholar working on Molecular Biology, Physiology, Surgery, Genetics and Cancer Research, having authored 42 papers that have together received 705 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Adipose Tissue and Metabolism (8 papers), Epigenetics and DNA Methylation (4 papers), MicroRNA in disease regulation (4 papers), Diet and metabolism studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Genetic Syndromes and Imprinting (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Physiology (194 citations), Endocrinology, Diabetes and Metabolism (100 citations), Cancer Research (71 citations), Molecular Biology (286 citations) and Epidemiology (111 citations). Markus Jähnert has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Annette Schürmann, Robert W. Schwenk, Pascal Gottmann, Wenke Jonas, Meriem Ouni, Heike Vogel, Sophie Saussenthaler, Nicole Hallahan, Hans‐Ulrich Häring and Matthias B. Schulze. Their work appears in journals such as Molecular Metabolism, International Journal of Molecular Sciences, Diabetes, Frontiers in Physiology 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.