Karin Mörl
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- Neuropeptides and Animal Physiology 21
- Neurobiology and Insect Physiology Research 3
- Developmental Neuroscience top 5%
- Endocrine and Autonomic Systems top 10%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 22
- Chemical Synthesis and Analysis 6
- Protein Kinase Regulation and GTPase Signaling 3
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- Monoclonal and Polyclonal Antibodies Research 7
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- Adipokines, Inflammation, and Metabolic Diseases 4
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- Click Chemistry and Applications 3
- Co-authors
- Annette G. Beck‐SickingerCornelia WaltherMichaël MeyerOliver SeitzUlrike ReinhardtAnthony HarringtonKlaus M. GiehlJuan Carlos Arévalo
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Journals
- Cellular Signalling (4 papers)Angewandte Chemie International Edition (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Karin Mörl
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 702
- Developmental Neuroscience 110
- Endocrine and Autonomic Systems 85
- Molecular Biology 821
- Neurology 54
Countries citing papers authored by Karin Mörl
This map shows the geographic impact of Karin Mörl'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 Karin Mörl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Mörl more than expected).
Fields of papers citing papers by Karin Mörl
This network shows the impact of papers produced by Karin Mörl. 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 Karin Mörl. The network helps show where Karin Mörl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karin Mörl, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 34 | |
| 5 | 2018 | 23 | |
| 6 | 2014 | 72 | |
| 7 | 2014 | 35 | |
| 8 | 2014 | 3 | |
| 9 | 2012 | 14 | |
| 10 | 2011 | 71 | |
| 11 | 2011 | 8 | |
| 12 | 2010 | 39 | |
| 13 | 2009 | 44 | |
| 14 | 2008 | 59 | |
| 15 | 2008 | 32 | |
| 16 | 2007 | 27 | |
| 17 | 2007 | 78 | |
| 18 | 2006 | 15 | |
| 19 | 2004 | 230 | |
| 20 | 2002 | 14 |
About Karin Mörl
Karin Mörl is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Microbiology, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (22 papers), Neuropeptides and Animal Physiology (21 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Chemical Synthesis and Analysis (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Click Chemistry and Applications (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (702 citations), Developmental Neuroscience (110 citations), Endocrine and Autonomic Systems (85 citations), Molecular Biology (821 citations) and Neurology (54 citations). Karin Mörl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Annette G. Beck‐Sickinger, Cornelia Walther, Michaël Meyer, Oliver Seitz, Ulrike Reinhardt, Anthony Harrington, Klaus M. Giehl, Juan Carlos Arévalo, Sung Ok Yoon and Barbara L. Hempstead. Their work appears in journals such as Cellular Signalling, Angewandte Chemie International Edition, Journal of Biological Chemistry, Journal of Peptide Science and ChemBioChem.
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.