Daniel T. Meier
Impact in
-
- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Biological Psychiatry top 5%
Papers in
- Co-authors
- Marc Y. Donath (18 shared papers)Theresa V. Rohm (5 shared papers)Jerrold M. Olefsky (1 shared paper)Marianne Böni‐Schnetzler (16 shared papers)Jan A. Ehses (2 shared papers)Julie Kerr‐Conte (2 shared papers)François Pattou (2 shared papers)Friederike Schulze (7 shared papers)
- Journals
- Diabetologia (7 papers)PLoS ONE (3 papers)Endocrinology (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniel T. Meier
39 papers receiving 3.0k citations
Daniel T. Meier's Hit Papers
Peers
Comparison fields: 5 of 119
- Endocrinology, Diabetes and Metabolism 557
- Biological Psychiatry 68
- Physiology 534
- Immunology 408
- Endocrine and Autonomic Systems 118
Countries citing papers authored by Daniel T. Meier
This map shows the geographic impact of Daniel T. Meier'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 Daniel T. Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Meier more than expected).
Fields of papers citing papers by Daniel T. Meier
This network shows the impact of papers produced by Daniel T. Meier. 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 Daniel T. Meier. The network helps show where Daniel T. Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Meier, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inflammation in obesity, diabetes, and related disorders Hit paper breakdown → | 2022 | 1294 |
| 2 | 2017 | 318 | |
| 3 | 2009 | 281 | |
| 4 | 2009 | 196 | |
| 5 | 2019 | 150 | |
| 6 | 2017 | 96 | |
| 7 | 2019 | 89 | |
| 8 | 2014 | 68 | |
| 9 | 2018 | 57 | |
| 10 | 2022 | 39 | |
| 11 | 2016 | 38 | |
| 12 | 2024 | 37 | |
| 13 | 2013 | 33 | |
| 14 | 2013 | 25 | |
| 15 | 2010 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2021 | 22 | |
| 20 | 2014 | 21 |
About Daniel T. Meier
Daniel T. Meier is a scholar working on Surgery, Genetics, Epidemiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 41 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Circadian rhythm and melatonin (5 papers), Pancreatitis Pathology and Treatment (5 papers), Diabetes Treatment and Management (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (557 citations), Biological Psychiatry (68 citations), Physiology (534 citations), Immunology (408 citations) and Endocrine and Autonomic Systems (118 citations). Daniel T. Meier has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marc Y. Donath, Theresa V. Rohm, Jerrold M. Olefsky, Marianne Böni‐Schnetzler, Jan A. Ehses, Julie Kerr‐Conte, François Pattou, Friederike Schulze, Thierry Berney and Erez Dror. Their work appears in journals such as Diabetologia, PLoS ONE, Endocrinology, Nature Communications and Cell 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.