Stefan Lehr
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
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- Diabetes Treatment and Management
Papers in
-
- Metabolomics and Mass Spectrometry Studies 10
- Mitochondrial Function and Pathology 6
- Epidemiology 13
- Adipokines, Inflammation, and Metabolic Diseases 8
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Sonja Hartwig (28 shared papers)Henrike Sell (4 shared papers)Jürgen Eckel (6 shared papers)Johannes Ruige (3 shared papers)Jörg Kotzka (22 shared papers)D. Margriet Ouwens (4 shared papers)Kristin Eckardt (2 shared papers)Stefan Müller (2 shared papers)
In The Last Decade
Stefan Lehr
41 papers receiving 1.7k citations
Stefan Lehr's Hit Papers
Peers
Comparison fields: 5 of 102
- Physiology 670
- Endocrinology, Diabetes and Metabolism 382
- Epidemiology 614
- Endocrine and Autonomic Systems 109
- Biochemistry 87
Countries citing papers authored by Stefan Lehr
This map shows the geographic impact of Stefan Lehr'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 Stefan Lehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Lehr more than expected).
Fields of papers citing papers by Stefan Lehr
This network shows the impact of papers produced by Stefan Lehr. 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 Stefan Lehr. The network helps show where Stefan Lehr may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Lehr, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dipeptidyl Peptidase 4 Is a Novel Adipokine Potentially Linking Obesity to the Metabolic Syndrome Hit paper breakdown → | 2011 | 481 |
| 2 | 2011 | 270 | |
| 3 | 2011 | 197 | |
| 4 | 2017 | 103 | |
| 5 | 2009 | 51 | |
| 6 | 2016 | 49 | |
| 7 | 2016 | 47 | |
| 8 | 2013 | 47 | |
| 9 | 2004 | 45 | |
| 10 | 2009 | 43 | |
| 11 | 2012 | 34 | |
| 12 | 2019 | 33 | |
| 13 | 2000 | 33 | |
| 14 | 2013 | 32 | |
| 15 | 2018 | 32 | |
| 16 | 2018 | 31 | |
| 17 | 2015 | 30 | |
| 18 | 2019 | 28 | |
| 19 | 2016 | 26 | |
| 20 | 2019 | 21 |
About Stefan Lehr
Stefan Lehr is a scholar working on Molecular Biology, Epidemiology, Physiology, Spectroscopy and Biochemistry, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Adipose Tissue and Metabolism (10 papers), Advanced Proteomics Techniques and Applications (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Lipid metabolism and biosynthesis (6 papers), Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Physiology (670 citations), Endocrinology, Diabetes and Metabolism (382 citations), Epidemiology (614 citations), Endocrine and Autonomic Systems (109 citations) and Biochemistry (87 citations). Stefan Lehr has collaborated with scholars based in Germany, Belgium and Hungary. Frequent co-authors include Sonja Hartwig, Henrike Sell, Jürgen Eckel, Johannes Ruige, Jörg Kotzka, D. Margriet Ouwens, Kristin Eckardt, Stefan Müller, Susanne Famulla and Franz‐Georg Hanisch. Their work appears in journals such as Archives of Physiology and Biochemistry, International Journal of Molecular Sciences, PROTEOMICS - CLINICAL APPLICATIONS, PROTEOMICS and Biochemistry.
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.