Andréas Schäffler
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases 92
- Liver Disease Diagnosis and Treatment 15
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- Regulation of Appetite and Obesity 17
- Physiology top 0.5%
- Adipose Tissue and Metabolism 45
- Immunology top 2%
- Immune Response and Inflammation 12
- IL-33, ST2, and ILC Pathways 8
- Genetics top 1%
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- Lipid metabolism and disorders 9
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- Pancreatitis Pathology and Treatment 8
- Co-authors
- Christa BüchlerJürgen SchölmerichChrista BuechlerMarkus NeumeierJohanna WeigertHans HerfarthUlf Müller‐LadnerCharalampos Aslanidis
- Journals
- Experimental and Clinical Endocrinology & Diabetes (18 papers)International Journal of Molecular Sciences (8 papers)Cytokine (7 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Andréas Schäffler
176 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Epidemiology 4.1k
- Endocrine and Autonomic Systems 745
- Physiology 2.2k
- Immunology 1.4k
- Genetics 693
Countries citing papers authored by Andréas Schäffler
This map shows the geographic impact of Andréas Schäffler'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 Andréas Schäffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andréas Schäffler more than expected).
Fields of papers citing papers by Andréas Schäffler
This network shows the impact of papers produced by Andréas Schäffler. 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 Andréas Schäffler. The network helps show where Andréas Schäffler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andréas Schäffler, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 7 | |
| 6 | 2018 | 33 | |
| 7 | 2016 | 3 | |
| 8 | 2014 | 50 | |
| 9 | 2011 | 47 | |
| 10 | 2010 | 40 | |
| 11 | 2009 | 135 | |
| 12 | 2009 | 56 | |
| 13 | 2008 | 9 | |
| 14 | 2006 | 15 | |
| 15 | 2006 | 47 | |
| 16 | 2005 | 64 | |
| 17 | 2004 | 69 | |
| 18 | 2004 | 24 | |
| 19 | 2003 | 0 | |
| 20 | 2000 | 15 |
About Andréas Schäffler
Andréas Schäffler is a scholar working on Epidemiology, Endocrine and Autonomic Systems, Physiology, Immunology and Microbiology, having authored 178 papers that have together received 7.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (92 papers), Adipose Tissue and Metabolism (45 papers), Regulation of Appetite and Obesity (17 papers), Liver Disease Diagnosis and Treatment (15 papers), Immune Response and Inflammation (12 papers), Lipid metabolism and disorders (9 papers), IL-33, ST2, and ILC Pathways (8 papers) and Pancreatitis Pathology and Treatment (8 papers). The work is most often cited by research in Epidemiology (4.1k citations), Endocrine and Autonomic Systems (745 citations), Physiology (2.2k citations), Immunology (1.4k citations) and Genetics (693 citations). Andréas Schäffler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christa Büchler, Jürgen Schölmerich, Christa Buechler, Markus Neumeier, Johanna Weigert, Hans Herfarth, Ulf Müller‐Ladner, Charalampos Aslanidis, J Schölmerich and Josef Wanninger. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, International Journal of Molecular Sciences, Cytokine, The Journal of Clinical Endocrinology & Metabolism and Experimental and Molecular Pathology.
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.