Daniel Hilger
- Biophysics top 0.1%
- Electron Spin Resonance Studies 7
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 14
- Neuroscience and Neuropharmacology Research 4
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 23
- Protein Kinase Regulation and GTPase Signaling 5
- Spectroscopy top 1%
- Advanced NMR Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 4
- Structural Biology top 5%
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Brian K. KobilkaMatthieu MasureelHeinrich JungAashish ManglikGunnar JeschkeChristiane R. TimmelH. ZimmermannRon O. Dror
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Daniel Hilger
40 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Biophysics 1.1k
- Cellular and Molecular Neuroscience 2.1k
- Molecular Biology 4.4k
- Spectroscopy 827
- Structural Biology 62
Countries citing papers authored by Daniel Hilger
This map shows the geographic impact of Daniel Hilger'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 Daniel Hilger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hilger more than expected).
Fields of papers citing papers by Daniel Hilger
This network shows the impact of papers produced by Daniel Hilger. 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 Daniel Hilger. The network helps show where Daniel Hilger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Hilger, 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 | 2024 | 6 | |
| 2 | Time-resolved cryo-EM of G-protein activation by a GPCRbreakdown → | 2024 | 53 |
| 3 | 2024 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 24 | |
| 6 | 2020 | 96 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 191 | |
| 9 | 2019 | 120 | |
| 10 | 2019 | 150 | |
| 11 | 2019 | 182 | |
| 12 | 2018 | 60 | |
| 13 | Yeast surface display platform for rapid discovery of conformationally selective nanobodiesbreakdown → | 2018 | 348 |
| 14 | Structure and dynamics of GPCR signaling complexesbreakdown → | 2017 | 649 |
| 15 | 2015 | 216 | |
| 16 | Structural Insights into the Dynamic Process of β2-Adrenergic Receptor Signalingbreakdown → | 2015 | 521 |
| 17 | 2013 | 353 | |
| 18 | 2012 | 74 | |
| 19 | 2007 | 25 | |
| 20 | 2007 | 89 |
About Daniel Hilger
Daniel Hilger is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Structural Biology, Spectroscopy and Molecular Biology, having authored 42 papers that have together received 5.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (14 papers), Electron Spin Resonance Studies (7 papers), Advanced NMR Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Biophysics (1.1k citations), Cellular and Molecular Neuroscience (2.1k citations), Molecular Biology (4.4k citations), Spectroscopy (827 citations) and Structural Biology (62 citations). Daniel Hilger has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Brian K. Kobilka, Matthieu Masureel, Heinrich Jung, Aashish Manglik, Gunnar Jeschke, Christiane R. Timmel, H. Zimmermann, Ron O. Dror, Adelheid Godt and Victor Chechik. Their work appears in journals such as Cell, Nature, Nature Communications, Journal of Molecular Biology and Biophysical Journal.
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.