Katrin C. Probst
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Behavioral Neuroscience top 10%
Papers in
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- Receptor Mechanisms and Signaling 2
- DNA Repair Mechanisms 1
- Glycosylation and Glycoproteins Research 1
- Oncology 4
- Peptidase Inhibition and Analysis 2
- Lung Cancer Research Studies 1
- Co-authors
- Tim D. Fryer (3 shared papers)Hugh K. Richards (3 shared papers)Laurent Brichard (2 shared papers)Franklin I. Aigbirhio (3 shared papers)Emily R. Murphy (1 shared paper)Barry J. Everitt (1 shared paper)David E. H. Theobald (1 shared paper)Irina Abakumova (1 shared paper)
- Journals
- Nuclear Medicine and Biology (1 paper)Future Medicinal Chemistry (1 paper)Molecules (1 paper)Science (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United KingdomSwitzerland
In The Last Decade
Katrin C. Probst
10 papers receiving 1.1k citations
Katrin C. Probst's Hit Papers
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 630
- Behavioral Neuroscience 54
- Cognitive Neuroscience 297
- Psychiatry and Mental health 131
- Biological Psychiatry 22
Countries citing papers authored by Katrin C. Probst
This map shows the geographic impact of Katrin C. Probst'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 Katrin C. Probst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin C. Probst more than expected).
Fields of papers citing papers by Katrin C. Probst
This network shows the impact of papers produced by Katrin C. Probst. 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 Katrin C. Probst. The network helps show where Katrin C. Probst may publish in the future.
Co-authors
The 25 scholars most cited alongside Katrin C. Probst, 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 | Nucleus Accumbens D2/3 Receptors Predict Trait Impulsivity and Cocaine Reinforcement Hit paper breakdown → | 2007 | 923 |
| 2 | 2009 | 71 | |
| 3 | 2017 | 62 | |
| 4 | 2007 | 25 | |
| 5 | 2001 | 11 | |
| 6 | 2012 | 10 | |
| 7 | 2014 | 8 | |
| 8 | 2007 | 7 | |
| 9 | 2014 | 6 | |
| 10 | 2020 | 6 |
About Katrin C. Probst
Katrin C. Probst is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), DNA Repair Mechanisms (1 paper), Lung Cancer Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (630 citations), Behavioral Neuroscience (54 citations), Cognitive Neuroscience (297 citations), Psychiatry and Mental health (131 citations) and Biological Psychiatry (22 citations). Katrin C. Probst has collaborated with scholars based in United Kingdom and Switzerland. Frequent co-authors include Tim D. Fryer, Hugh K. Richards, Laurent Brichard, Franklin I. Aigbirhio, Emily R. Murphy, Barry J. Everitt, David E. H. Theobald, Irina Abakumova, Emma Robinson and Young T. Hong. Their work appears in journals such as Nuclear Medicine and Biology, Future Medicinal Chemistry, Molecules, Science and Atherosclerosis.
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.