Marcus Ståhlman
Impact in
- Physiology top 0.5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Aging top 1%
Papers in
- Aging 6
- Biochemistry 19
- Lipid metabolism and biosynthesis 17
- Co-authors
- Fredrik BäckhedJan BorénRosie PerkinsValentina TremaroliPetia Kovatcheva‐DatcharyRobert CaesarLouise Mannerås-HolmMuhammad Tanweer Khan
- Journals
- PLoS ONE (7 papers)Scientific Reports (6 papers)Journal of Hepatology (6 papers)Journal of Lipid Research (6 papers)Nature Communications (4 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Marcus Ståhlman
107 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Physiology 3.0k
- Aging 186
- Biological Psychiatry 253
- Molecular Biology 5.7k
- Endocrinology, Diabetes and Metabolism 1.2k
Countries citing papers authored by Marcus Ståhlman
This map shows the geographic impact of Marcus Ståhlman'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 Marcus Ståhlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Ståhlman more than expected).
Fields of papers citing papers by Marcus Ståhlman
This network shows the impact of papers produced by Marcus Ståhlman. 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 Marcus Ståhlman. The network helps show where Marcus Ståhlman may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Ståhlman, 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 | 2021 | 1 | |
| 2 | 2021 | 78 | |
| 3 | 2020 | 62 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 85 | |
| 6 | 2020 | 79 | |
| 7 | 2019 | 49 | |
| 8 | 2019 | 43 | |
| 9 | 2019 | 4 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 34 | |
| 12 | Abstract 12134: Gut Microbiota Play a Role in Calcific Aortic Valve Stenosis | 2017 | 1 |
| 13 | 2017 | 44 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 81 | |
| 17 | 2016 | 13 | |
| 18 | 2013 | 94 | |
| 19 | 2012 | 80 | |
| 20 | 2011 | 33 |
About Marcus Ståhlman
Marcus Ståhlman is a scholar working on Aging, Biochemistry, Physiology, Cell Biology and Hepatology, having authored 108 papers that have together received 9.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Liver Disease Diagnosis and Treatment (17 papers), Lipid metabolism and biosynthesis (17 papers), Drug Transport and Resistance Mechanisms (14 papers), Gut microbiota and health (14 papers), Diet and metabolism studies (13 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Pediatric Hepatobiliary Diseases and Treatments (9 papers). The work is most often cited by research in Physiology (3.0k citations), Aging (186 citations), Biological Psychiatry (253 citations), Molecular Biology (5.7k citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Marcus Ståhlman has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Fredrik Bäckhed, Jan Borén, Rosie Perkins, Valentina Tremaroli, Petia Kovatcheva‐Datchary, Robert Caesar, Louise Mannerås-Holm, Muhammad Tanweer Khan, Hao Wu and Gun‐Britt Forsberg. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Hepatology, Journal of Lipid Research and Nature Communications.
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.