J. Deisenhofer
- Molecular Biology top 0.05%
- Materials Chemistry top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Atomic and Molecular Physics, and Optics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Co-authors
- Hartmut MichelRobert HuberBoštjan KobeO. EppKunio MikiEva S. IstvanJulian A. PetersonW. Steigemann
- Topics
- Photosynthetic Processes and Mechanisms (40 papers)Enzyme Structure and Function (32 papers)Protein Structure and Dynamics (22 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
J. Deisenhofer
134 papers receiving 26.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 19.4k
- Materials Chemistry 4.4k
- Cellular and Molecular Neuroscience 3.1k
- Atomic and Molecular Physics, and Optics 3.0k
- Radiology, Nuclear Medicine and Imaging 2.6k
Countries citing papers authored by J. Deisenhofer
This map shows the geographic impact of J. Deisenhofer'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 J. Deisenhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Deisenhofer more than expected).
Fields of papers citing papers by J. Deisenhofer
This network shows the impact of papers produced by J. Deisenhofer. 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 J. Deisenhofer. The network helps show where J. Deisenhofer may publish in the future.
Co-authorship network of co-authors of J. Deisenhofer
This figure shows the co-authorship network connecting the top 25 collaborators of J. Deisenhofer. A scholar is included among the top collaborators of J. Deisenhofer 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 J. Deisenhofer. J. Deisenhofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 116 | |
| 3 | 5 | |
| 4 | 287 | |
| 5 | 127 | |
| 6 | 188 | |
| 7 | 87 | |
| 8 | 473 | |
| 9 | 46 | |
| 10 | 8 | |
| 11 | 352 | |
| 12 | 75 | |
| 13 | 31 | |
| 14 | 5 | |
| 15 | 329 | |
| 16 | 231 | |
| 17 | The structure of the photosynthetic reaction centre from Rhodopseudomonas viridis | 1 |
| 18 | Pigment-protein interactions in the photosynthetic reaction centre from Rhodopseudomonas viridisbreakdown → | 401 |
| 19 | Structural parameters of ligand binding by lupine leghemoglobin at 2.0 A resolution. | 1 |
| 20 | Proceedings: X-ray diffraction analysis of immunoglobulin structure. | 4 |
About J. Deisenhofer
J. Deisenhofer is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 134 papers that have together received 27.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (40 papers), Enzyme Structure and Function (32 papers) and Protein Structure and Dynamics (22 papers). The work is most often cited by research in Molecular Biology (19.4k citations), Cellular and Molecular Neuroscience (3.1k citations) and Physical and Theoretical Chemistry (1.4k citations). J. Deisenhofer has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Hartmut Michel, Robert Huber, Boštjan Kobe, O. Epp, Kunio Miki, Eva S. Istvan, Julian A. Peterson, W. Steigemann, Sekhar Boddupalli and Di Xia. Their work appears in journals such as Nature, Science and Cell.
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.