Raphael S. Haider
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Receptor Mechanisms and Signaling 13
- Protein Kinase Regulation and GTPase Signaling 2
- Ion channel regulation and function 1
- Sphingolipid Metabolism and Signaling 1
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- Neuropeptides and Animal Physiology 7
- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Carsten Hoffmann (11 shared papers)Julia Drube (9 shared papers)Amod Godbole (1 shared paper)Xavier Deupí (2 shared papers)Stefan Schulz (2 shared papers)Cornelius Krasel (1 shared paper)Andy Chevigné (1 shared paper)Asuka Inoue (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Current Opinion in Cell Biology (1 paper)Scientific Reports (1 paper)Biomolecules (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Raphael S. Haider
14 papers receiving 235 citations
Peers
Comparison fields: 5 of 45
- Cellular and Molecular Neuroscience 104
- Molecular Biology 195
- Spectroscopy 33
- Radiology, Nuclear Medicine and Imaging 40
- Computational Theory and Mathematics 22
Countries citing papers authored by Raphael S. Haider
This map shows the geographic impact of Raphael S. Haider'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 Raphael S. Haider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael S. Haider more than expected).
Fields of papers citing papers by Raphael S. Haider
This network shows the impact of papers produced by Raphael S. Haider. 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 Raphael S. Haider. The network helps show where Raphael S. Haider may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael S. Haider, 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 | 2022 | 67 | |
| 2 | 2022 | 44 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 32 | |
| 5 | 2018 | 19 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2019 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 |
About Raphael S. Haider
Raphael S. Haider is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 235 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Ion channel regulation and function (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (104 citations), Molecular Biology (195 citations), Spectroscopy (33 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Computational Theory and Mathematics (22 citations). Raphael S. Haider has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Carsten Hoffmann, Julia Drube, Amod Godbole, Xavier Deupí, Stefan Schulz, Cornelius Krasel, Andy Chevigné, Asuka Inoue, Ulrike Zabel and Andrea Kliewer. Their work appears in journals such as Nature Communications, Journal of Pharmacology and Experimental Therapeutics, Current Opinion in Cell Biology, Scientific Reports and Biomolecules.
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.