Lars Paeger
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
- Physiology top 5%
- Adipose Tissue and Metabolism
- Adenosine and Purinergic Signaling
Papers in
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- Regulation of Appetite and Obesity 12
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- Neurobiology and Insect Physiology Research 3
- Co-authors
- Peter Kloppenburg (16 shared papers)Jens C. Brüning (10 shared papers)Simon Heß (6 shared papers)Brigitte Hampel (4 shared papers)Sophie Marie Steculorum (3 shared papers)Tamás L. Horváth (3 shared papers)Andreas Husch (4 shared papers)Merly C. Vogt (3 shared papers)
- Journals
- Cell Reports (3 papers)Cell (3 papers)Journal of Neurophysiology (2 papers)eLife (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Lars Paeger
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 67
- Endocrine and Autonomic Systems 800
- Physiology 53
- Cellular and Molecular Neuroscience 183
- Pediatrics, Perinatology and Child Health 148
- Aging 17
Countries citing papers authored by Lars Paeger
This map shows the geographic impact of Lars Paeger'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 Lars Paeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Paeger more than expected).
Fields of papers citing papers by Lars Paeger
This network shows the impact of papers produced by Lars Paeger. 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 Lars Paeger. The network helps show where Lars Paeger may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Paeger, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 295 | |
| 2 | 2016 | 238 | |
| 3 | 2011 | 206 | |
| 4 | 2021 | 127 | |
| 5 | 2020 | 105 | |
| 6 | 2014 | 95 | |
| 7 | 2012 | 93 | |
| 8 | 2015 | 75 | |
| 9 | 2017 | 52 | |
| 10 | 2012 | 50 | |
| 11 | 2017 | 47 | |
| 12 | 2017 | 42 | |
| 13 | 2009 | 35 | |
| 14 | 2018 | 33 | |
| 15 | 2009 | 32 | |
| 16 | 2023 | 31 | |
| 17 | 2013 | 24 | |
| 18 | 2016 | 19 | |
| 19 | 2024 | 13 | |
| 20 | 2023 | 9 |
About Lars Paeger
Lars Paeger is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology, Neurology and Physiology, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (12 papers), Alzheimer's disease research and treatments (4 papers), Neurobiology and Insect Physiology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Ion channel regulation and function (2 papers), Epigenetics and DNA Methylation (1 paper), Lysosomal Storage Disorders Research (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (800 citations), Physiology (53 citations), Cellular and Molecular Neuroscience (183 citations), Pediatrics, Perinatology and Child Health (148 citations) and Aging (17 citations). Lars Paeger has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Peter Kloppenburg, Jens C. Brüning, Simon Heß, Brigitte Hampel, Sophie Marie Steculorum, Tamás L. Horváth, Andreas Husch, Merly C. Vogt, Anne Christine Hausen and Jan Mauer. Their work appears in journals such as Cell Reports, Cell, Journal of Neurophysiology, eLife and Nature Neuroscience.
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.