Thomas Laeger
Impact in
- Aging top 5%
-
- Regulation of Appetite and Obesity
Papers in
-
- Fibroblast Growth Factor Research 10
- Epigenetics and DNA Methylation 4
-
- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 4
- Co-authors
- Christopher D. Morrison (8 shared papers)Heike Münzberg (5 shared papers)Diana C. Albarado (6 shared papers)Thomas W. Gettys (2 shared papers)Cornelia C. Metges (5 shared papers)Björn Kuhla (6 shared papers)Tara M. Henagan (3 shared papers)Susan M. Hutson (2 shared papers)
- Journals
- Journal of Dairy Science (3 papers)Cell Reports (2 papers)Diabetologia (2 papers)Molecular Metabolism (2 papers)Animals (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Thomas Laeger
23 papers receiving 1.5k citations
Thomas Laeger's Hit Papers
Peers
Comparison fields: 5 of 80
- Aging 76
- Endocrine and Autonomic Systems 165
- Physiology 514
- Endocrinology, Diabetes and Metabolism 198
- Molecular Biology 684
Countries citing papers authored by Thomas Laeger
This map shows the geographic impact of Thomas Laeger'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 Thomas Laeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Laeger more than expected).
Fields of papers citing papers by Thomas Laeger
This network shows the impact of papers produced by Thomas Laeger. 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 Thomas Laeger. The network helps show where Thomas Laeger may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Laeger, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FGF21 is an endocrine signal of protein restriction Hit paper breakdown → | 2014 | 458 |
| 2 | 2019 | 170 | |
| 3 | 2016 | 161 | |
| 4 | 2017 | 122 | |
| 5 | 2010 | 105 | |
| 6 | 2017 | 78 | |
| 7 | 2015 | 76 | |
| 8 | 2019 | 63 | |
| 9 | 2014 | 50 | |
| 10 | 2017 | 39 | |
| 11 | 2012 | 31 | |
| 12 | 2012 | 27 | |
| 13 | 2016 | 25 | |
| 14 | 2013 | 24 | |
| 15 | 2019 | 15 | |
| 16 | 2014 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2020 | 10 |
About Thomas Laeger
Thomas Laeger is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Endocrine and Autonomic Systems, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Adipose Tissue and Metabolism (6 papers), Epigenetics and DNA Methylation (4 papers), Pancreatic function and diabetes (4 papers), Diet and metabolism studies (4 papers), Diet, Metabolism, and Disease (3 papers), Muscle metabolism and nutrition (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Aging (76 citations), Endocrine and Autonomic Systems (165 citations), Physiology (514 citations), Endocrinology, Diabetes and Metabolism (198 citations) and Molecular Biology (684 citations). Thomas Laeger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christopher D. Morrison, Heike Münzberg, Diana C. Albarado, Thomas W. Gettys, Cornelia C. Metges, Björn Kuhla, Tara M. Henagan, Susan M. Hutson, Robert C. Noland and George A. Bray. Their work appears in journals such as Journal of Dairy Science, Cell Reports, Diabetologia, Molecular Metabolism and Animals.
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.