Daniela Schranner
Impact in
- Rehabilitation top 10%
- Exercise and Physiological Responses
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Thermoregulation and physiological responses
Papers in
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- Adipose Tissue and Metabolism 2
- Diet and metabolism studies 2
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- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Martin Schönfelder (3 shared papers)Henning Wackerhage (3 shared papers)Gabi Kastenmüller (4 shared papers)Werner Römisch‐Margl (3 shared papers)J. R. Brotherhood (1 shared paper)Babette M Pluim (1 shared paper)Julien D. Périard (1 shared paper)Ollie Jay (1 shared paper)
- Journals
- Medicine & Science in Sports & Exercise (1 paper)Molecular Psychiatry (1 paper)Translational Psychiatry (1 paper)Sports Medicine - Open (1 paper)Nature Metabolism (1 paper)
- Partner nations
- GermanySingaporeUnited States
In The Last Decade
Daniela Schranner
8 papers receiving 305 citations
Peers
Comparison fields: 5 of 75
- Rehabilitation 63
- Physiology 159
- Complementary and alternative medicine 40
- Cell Biology 79
- Biological Psychiatry 10
Countries citing papers authored by Daniela Schranner
This map shows the geographic impact of Daniela Schranner'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 Daniela Schranner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schranner more than expected).
Fields of papers citing papers by Daniela Schranner
This network shows the impact of papers produced by Daniela Schranner. 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 Daniela Schranner. The network helps show where Daniela Schranner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schranner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 162 | |
| 2 | 2021 | 41 | |
| 3 | 2022 | 31 | |
| 4 | 2016 | 30 | |
| 5 | 2021 | 22 | |
| 6 | 2024 | 14 | |
| 7 | 2022 | 5 | |
| 8 | 2025 | 4 |
About Daniela Schranner
Daniela Schranner is a scholar working on Physiology, Molecular Biology, Cell Biology, Biological Psychiatry and Rehabilitation, having authored 8 papers that have together received 309 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Muscle metabolism and nutrition (3 papers), Tryptophan and brain disorders (2 papers), Adipose Tissue and Metabolism (2 papers), Diet and metabolism studies (2 papers), Infection Control and Ventilation (1 paper), Nutritional Studies and Diet (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Rehabilitation (63 citations), Physiology (159 citations), Complementary and alternative medicine (40 citations), Cell Biology (79 citations) and Biological Psychiatry (10 citations). Daniela Schranner has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Martin Schönfelder, Henning Wackerhage, Gabi Kastenmüller, Werner Römisch‐Margl, J. R. Brotherhood, Babette M Pluim, Julien D. Périard, Ollie Jay, Rainer Hain and Christian J. Kähler. Their work appears in journals such as Medicine & Science in Sports & Exercise, Molecular Psychiatry, Translational Psychiatry, Sports Medicine - Open and Nature Metabolism.
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.