Peter W. Hildebrand
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 5%
- Computational Theory and Mathematics top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Alexander RosePatrick ScheererKlaus Peter HofmannOliver P. ErnstHui‐Woog ChoeJung Hee ParkNorbert KraußYong Ju Kim
- Topics
- Receptor Mechanisms and Signaling (35 papers)Protein Structure and Dynamics (24 papers)RNA and protein synthesis mechanisms (16 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Peter W. Hildebrand
76 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.7k
- Cellular and Molecular Neuroscience 1.6k
- Physiology 435
- Computational Theory and Mathematics 392
- Radiology, Nuclear Medicine and Imaging 330
Countries citing papers authored by Peter W. Hildebrand
This map shows the geographic impact of Peter W. Hildebrand'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 Peter W. Hildebrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Hildebrand more than expected).
Fields of papers citing papers by Peter W. Hildebrand
This network shows the impact of papers produced by Peter W. Hildebrand. 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 Peter W. Hildebrand. The network helps show where Peter W. Hildebrand may publish in the future.
Co-authorship network of co-authors of Peter W. Hildebrand
This figure shows the co-authorship network connecting the top 25 collaborators of Peter W. Hildebrand. A scholar is included among the top collaborators of Peter W. Hildebrand 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 Peter W. Hildebrand. Peter W. Hildebrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | Time-resolved cryo-EM of G-protein activation by a GPCRbreakdown → | 53 |
| 9 | 10 | |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 24 | |
| 14 | 11 | |
| 15 | 50 | |
| 16 | 93 | |
| 17 | 91 | |
| 18 | 54 | |
| 19 | 22 | |
| 20 | 40 |
About Peter W. Hildebrand
Peter W. Hildebrand is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy, having authored 82 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (35 papers), Protein Structure and Dynamics (24 papers) and RNA and protein synthesis mechanisms (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Molecular Biology (3.7k citations) and Structural Biology (71 citations). Peter W. Hildebrand has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Alexander Rose, Patrick Scheerer, Klaus Peter Hofmann, Oliver P. Ernst, Hui‐Woog Choe, Jung Hee Park, Norbert Krauß, Yong Ju Kim, Martin Heck and Johanna K. S. Tiemann. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.