Raphael S. Haider

429 citations
18 papers · 263 · h-index 7

Impact in

Papers in

    • Receptor Mechanisms and Signaling 14
    • Protein Kinase Regulation and GTPase Signaling 2
    • Ion Transport and Channel Regulation 1
    • Ion channel regulation and function 1
    • Neuropeptides and Animal Physiology 8
    • Neurotransmitter Receptor Influence on Behavior 2

Raphael S. Haider

16 papers receiving 263 citations

Peers

Raphael S. Haider
Comparison fields: 5 of 45
  • Cellular and Molecular Neuroscience 114
  • Molecular Biology 213
  • Spectroscopy 36
  • Radiology, Nuclear Medicine and Imaging 44
  • Endocrine and Autonomic Systems 9
Replace Alex D. White with:
Alex D. White United States
Tobias Kiechle Germany
Erik G. Strungs United States
Zhenmei Xu China
Yu-Ling Yin China
Dylan Scott Eiger United States
Mark Soave United Kingdom
Iryna Teobald United Kingdom
Tea Dodig‐Crnković Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Raphael S. Haider

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Raphael S. Haider Line = papers co-authored together Raphael S. Haider links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202277
2 202250
3 202136
4 202133
5 201822
6 20239
7 20239
8 20246
9 20196
10 20245
11 20203
12 20222
13 20172
14 20251
15 20231
16 20171
17 20240
18 20230

About Raphael S. Haider

Raphael S. Haider is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy, Surgery and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 263 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ion Transport and Channel Regulation (1 paper), Ion channel regulation and function (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Molecular Biology (213 citations), Spectroscopy (36 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Endocrine and Autonomic Systems (9 citations). Raphael S. Haider has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Carsten Hoffmann, Julia Drube, Amod Godbole, Xavier Deupí, Asuka Inoue, Andrea Kliewer, Stefan Schulz, Evi Kostenis, Sebastian Fritzwanker and Andy Chevigné. Their work appears in journals such as Nature Communications, Journal of Pharmacology and Experimental Therapeutics, Frontiers in Cell and Developmental Biology, The FASEB Journal 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.

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