Tim Grüne
Impact in
- Molecular Biology top 5%
- Protein Interaction Studies and Fluorescence Analysis
- Genomics and Chromatin Dynamics
- Protein purification and stability
- Protein Structure and Dynamics
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
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- Protein Structure and Dynamics 3
- Genomics and Chromatin Dynamics 2
- Biochemical and Molecular Research 2
- Protein Interaction Studies and Fluorescence Analysis 2
- Cancer-related gene regulation 1
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- Enzyme Structure and Function 3
- Co-authors
- Stephen Curry (3 shared papers)Ananyo A. Bhattacharya (2 shared papers)I. Petitpas (1 shared paper)Peter B. Becker (2 shared papers)Christoph W. Müller (2 shared papers)Anton Eberharter (2 shared papers)Cedric R. Clapier (1 shared paper)Davide Corona (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Molecular and Cellular Biology (1 paper)Journal of Applied Crystallography (1 paper)Molecular Cell (1 paper)Journal of Biomolecular NMR (1 paper)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Tim Grüne
7 papers receiving 1.6k citations
Tim Grüne's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.4k
- Oncology 396
- Spectroscopy 184
- Cell Biology 168
- Biophysics 43
Countries citing papers authored by Tim Grüne
This map shows the geographic impact of Tim Grüne'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 Tim Grüne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Grüne more than expected).
Fields of papers citing papers by Tim Grüne
This network shows the impact of papers produced by Tim Grüne. 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 Tim Grüne. The network helps show where Tim Grüne may publish in the future.
Co-authors
The 18 scholars most cited alongside Tim Grüne, 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 | Crystallographic analysis reveals common modes of binding of medium and long-chain fatty acids to human serum albumin 1 1Edited by R. Huber Hit paper breakdown → | 2000 | 821 |
| 2 | 2001 | 439 | |
| 3 | 2003 | 220 | |
| 4 | 2005 | 66 | |
| 5 | 2007 | 58 | |
| 6 | 2008 | 6 | |
| 7 | 1999 | 2 |
About Tim Grüne
Tim Grüne is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Physiology and Nuclear and High Energy Physics, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), Genomics and Chromatin Dynamics (2 papers), Biochemical and Molecular Research (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers), Analytical Chemistry and Chromatography (1 paper), NMR spectroscopy and applications (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Oncology (396 citations), Spectroscopy (184 citations), Cell Biology (168 citations) and Biophysics (43 citations). Tim Grüne has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Stephen Curry, Ananyo A. Bhattacharya, I. Petitpas, Peter B. Becker, Christoph W. Müller, Anton Eberharter, Cedric R. Clapier, Davide Corona, Jan Brzeski and Carlos Fernández‐Tornero. Their work appears in journals such as Journal of Molecular Biology, Molecular and Cellular Biology, Journal of Applied Crystallography, Molecular Cell and Journal of Biomolecular NMR.
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.