Daniela Lamers
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Diabetes Management and Research 4
- Diabetes Treatment and Management 1
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Jürgen Eckel (6 shared papers)Henrike Sell (6 shared papers)Susanne Famulla (3 shared papers)Sonja Hartwig (3 shared papers)Franz‐Georg Hanisch (2 shared papers)Kristin Eckardt (2 shared papers)Stefan Müller (2 shared papers)D. Margriet Ouwens (2 shared papers)
In The Last Decade
Daniela Lamers
12 papers receiving 1.1k citations
Daniela Lamers's Hit Papers
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 372
- Epidemiology 374
- Endocrine and Autonomic Systems 38
- Physiology 136
- Biochemistry 24
Countries citing papers authored by Daniela Lamers
This map shows the geographic impact of Daniela Lamers'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 Lamers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lamers more than expected).
Fields of papers citing papers by Daniela Lamers
This network shows the impact of papers produced by Daniela Lamers. 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 Lamers. The network helps show where Daniela Lamers may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Lamers, 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 | Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome Hit paper breakdown → | 2011 | 514 |
| 2 | 2011 | 207 | |
| 3 | 2010 | 140 | |
| 4 | 2017 | 89 | |
| 5 | 2010 | 56 | |
| 6 | 2022 | 56 | |
| 7 | 2018 | 33 | |
| 8 | 2018 | 24 | |
| 9 | 2012 | 20 | |
| 10 | 2022 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2018 | 4 |
About Daniela Lamers
Daniela Lamers is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Biochemistry, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes Management and Research (4 papers), Cardiovascular Disease and Adiposity (3 papers), Sulfur Compounds in Biology (1 paper), Antioxidant Activity and Oxidative Stress (1 paper), Pharmacology and Obesity Treatment (1 paper), Lipid metabolism and biosynthesis (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (372 citations), Epidemiology (374 citations), Endocrine and Autonomic Systems (38 citations), Physiology (136 citations) and Biochemistry (24 citations). Daniela Lamers has collaborated with scholars based in Germany, Belgium and Israel. Frequent co-authors include Jürgen Eckel, Henrike Sell, Susanne Famulla, Sonja Hartwig, Franz‐Georg Hanisch, Kristin Eckardt, Stefan Müller, D. Margriet Ouwens, Johannes B Ruige and Stefan Lehr. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes, Journal of Cellular and Molecular Medicine, Diabetes Care and Molecular and Cellular Endocrinology.
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.