Harald Hübner
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Organic Chemistry top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Peter GmeinerStefan LöberBrian K. KobilkaOlaf PranteJürgen EinsiedelAashish ManglikRalf C. KlingNuška Tschammer
- Topics
- Receptor Mechanisms and Signaling (125 papers)Neuropeptides and Animal Physiology (57 papers)Chemical Synthesis and Analysis (54 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Harald Hübner
197 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 4.5k
- Cellular and Molecular Neuroscience 2.9k
- Organic Chemistry 1.4k
- Radiology, Nuclear Medicine and Imaging 745
- Computational Theory and Mathematics 602
Countries citing papers authored by Harald Hübner
This map shows the geographic impact of Harald Hübner'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 Harald Hübner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harald Hübner more than expected).
Fields of papers citing papers by Harald Hübner
This network shows the impact of papers produced by Harald Hübner. 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 Harald Hübner. The network helps show where Harald Hübner may publish in the future.
Co-authorship network of co-authors of Harald Hübner
This figure shows the co-authorship network connecting the top 25 collaborators of Harald Hübner. A scholar is included among the top collaborators of Harald Hübner 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 Harald Hübner. Harald Hübner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 39 | |
| 14 | 10 | |
| 15 | 33 | |
| 16 | 23 | |
| 17 | 41 | |
| 18 | 74 | |
| 19 | 69 | |
| 20 | 17 |
About Harald Hübner
Harald Hübner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Organic Chemistry, having authored 202 papers that have together received 6.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (125 papers), Neuropeptides and Animal Physiology (57 papers) and Chemical Synthesis and Analysis (54 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Molecular Biology (4.5k citations) and Organic Chemistry (1.4k citations). Harald Hübner has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Peter Gmeiner, Stefan Löber, Brian K. Kobilka, Olaf Prante, Jürgen Einsiedel, Aashish Manglik, Ralf C. Kling, Nuška Tschammer, Wolfgang Utz and Laura Bettinetti. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.