H. N. Doods
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Cardiology and Cardiovascular Medicine
- Pharmacology
- Co-authors
- D. DavideskoK. J. van CharldorpM. J. MathyA. de JongeP. A. van ZwietenPieter A. van ZwietenEwa Karwatowska‐ProkopczukGabriel J. Hauser
- Topics
- Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsLife SciencesAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- NetherlandsGermanyAustria
In The Last Decade
H. N. Doods
14 papers receiving 741 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 589
- Cellular and Molecular Neuroscience 455
- Physiology 152
- Cardiology and Cardiovascular Medicine 112
- Pharmacology 67
Countries citing papers authored by H. N. Doods
This map shows the geographic impact of H. N. Doods'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 H. N. Doods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. N. Doods more than expected).
Fields of papers citing papers by H. N. Doods
This network shows the impact of papers produced by H. N. Doods. 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 H. N. Doods. The network helps show where H. N. Doods may publish in the future.
Co-authorship network of co-authors of H. N. Doods
This figure shows the co-authorship network connecting the top 25 collaborators of H. N. Doods. A scholar is included among the top collaborators of H. N. Doods based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H. N. Doods. H. N. Doods is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effects of the CGRP-receptor antagonist BIBN4096BS in experimental migraine models | 1 |
| 2 | 73 | |
| 3 | 56 | |
| 4 | 58 | |
| 5 | 35 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 15 | |
| 9 | 49 | |
| 10 | 411 | |
| 11 | 15 | |
| 12 | 19 | |
| 13 | 9 | |
| 14 | 10 |
About H. N. Doods
H. N. Doods is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology and Physiology, having authored 14 papers that have together received 780 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (455 citations), Molecular Biology (589 citations) and Endocrine and Autonomic Systems (45 citations). H. N. Doods has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include D. Davidesko, K. J. van Charldorp, M. J. Mathy, A. de Jonge, P. A. van Zwieten, P. A. van Zwieten, Pieter A. van Zwieten, Ewa Karwatowska‐Prokopczuk, Gabriel J. Hauser and Zofia Żukowska-Grójec. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Life Sciences and American Journal of Physiology-Heart and Circulatory Physiology.
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.