Daniel Konrad
Impact in
- Physiology top 1%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Physiology 38
- Adipose Tissue and Metabolism 32
- Epidemiology 37
- Adipokines, Inflammation, and Metabolic Diseases 29
- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Stephan Wueest (42 shared papers)Eugen J. Schoenle (19 shared papers)Anna Biason‐Lauber (8 shared papers)Flurin Item (12 shared papers)Assaf Rudich (12 shared papers)Amira Klip (7 shared papers)Francesca Navratil (1 shared paper)E. J. Schoenle (3 shared papers)
- Journals
- Diabetes (8 papers)Diabetologia (8 papers)The Journal of Clinical Endocrinology & Metabolism (7 papers)Adipocyte (6 papers)Nature Communications (4 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Daniel Konrad
130 papers receiving 6.6k citations
Daniel Konrad's Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 1.8k
- Endocrinology, Diabetes and Metabolism 1.1k
- Endocrine and Autonomic Systems 356
- Epidemiology 1.5k
- Genetics 1.2k
Countries citing papers authored by Daniel Konrad
This map shows the geographic impact of Daniel Konrad'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 Konrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Konrad more than expected).
Fields of papers citing papers by Daniel Konrad
This network shows the impact of papers produced by Daniel Konrad. 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 Konrad. The network helps show where Daniel Konrad may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Konrad, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interleukin-6 enhances insulin secretion by increasing glucagon-like peptide-1 secretion from L cells and alpha cells Hit paper breakdown → | 2011 | 771 |
| 2 | 2004 | 343 | |
| 3 | 2017 | 334 | |
| 4 | 2012 | 212 | |
| 5 | 2005 | 200 | |
| 6 | 2010 | 197 | |
| 7 | 2001 | 189 | |
| 8 | 2009 | 177 | |
| 9 | 2006 | 160 | |
| 10 | 2010 | 155 | |
| 11 | 2018 | 154 | |
| 12 | 2008 | 153 | |
| 13 | 2009 | 144 | |
| 14 | 2017 | 139 | |
| 15 | 2013 | 132 | |
| 16 | 2012 | 115 | |
| 17 | 2018 | 107 | |
| 18 | 2006 | 106 | |
| 19 | 2013 | 104 | |
| 20 | 2010 | 102 |
About Daniel Konrad
Daniel Konrad is a scholar working on Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 136 papers that have together received 6.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (32 papers), Adipokines, Inflammation, and Metabolic Diseases (29 papers), Sexual Differentiation and Disorders (15 papers), Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (9 papers), Thyroid Disorders and Treatments (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Physiology (1.8k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (356 citations), Epidemiology (1.5k citations) and Genetics (1.2k citations). Daniel Konrad has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Stephan Wueest, Eugen J. Schoenle, Anna Biason‐Lauber, Flurin Item, Assaf Rudich, Amira Klip, Francesca Navratil, E. J. Schoenle, Gary Sweeney and Marc Yves Donath. Their work appears in journals such as Diabetes, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Adipocyte 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.