V. Šrajer
Impact in
- Structural Biology top 0.5%
- Cell Biology top 0.5%
- Hemoglobin structure and function
Papers in
-
- Photosynthetic Processes and Mechanisms 20
- Protein Structure and Dynamics 16
-
- Enzyme Structure and Function 23
- Co-authors
- Keith Moffat (23 shared papers)Tsu-Yi Teng (9 shared papers)Zhong Ren (15 shared papers)Marius Schmidt (16 shared papers)P. M. Champion (6 shared papers)Michaël Wulff (8 shared papers)Claude Pradervand (6 shared papers)Dominique Bourgeois (7 shared papers)
- Journals
- Biochemistry (7 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of Synchrotron Radiation (6 papers)Science (3 papers)Structural Dynamics (3 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
V. Šrajer
59 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 113
- Structural Biology 356
- Cell Biology 1.3k
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 2.9k
- Biophysics 232
Countries citing papers authored by V. Šrajer
This map shows the geographic impact of V. Šrajer'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 V. Šrajer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Šrajer more than expected).
Fields of papers citing papers by V. Šrajer
This network shows the impact of papers produced by V. Šrajer. 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 V. Šrajer. The network helps show where V. Šrajer may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Šrajer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 475 | |
| 2 | 1997 | 332 | |
| 3 | 2001 | 270 | |
| 4 | 1998 | 235 | |
| 5 | 2005 | 211 | |
| 6 | 2016 | 154 | |
| 7 | 1994 | 149 | |
| 8 | 2001 | 142 | |
| 9 | 2013 | 140 | |
| 10 | 2005 | 136 | |
| 11 | 1988 | 131 | |
| 12 | 1999 | 112 | |
| 13 | 2011 | 102 | |
| 14 | 1992 | 100 | |
| 15 | 1986 | 99 | |
| 16 | 1991 | 90 | |
| 17 | 2017 | 88 | |
| 18 | 2006 | 82 | |
| 19 | 2004 | 75 | |
| 20 | 2005 | 66 |
About V. Šrajer
V. Šrajer is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 60 papers that have together received 4.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (23 papers), Photosynthetic Processes and Mechanisms (20 papers), Hemoglobin structure and function (19 papers), Protein Structure and Dynamics (16 papers), Photoreceptor and optogenetics research (15 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Advanced X-ray Imaging Techniques (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Structural Biology (356 citations), Cell Biology (1.3k citations), Cellular and Molecular Neuroscience (1.0k citations), Molecular Biology (2.9k citations) and Biophysics (232 citations). V. Šrajer has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Keith Moffat, Tsu-Yi Teng, Zhong Ren, Marius Schmidt, P. M. Champion, Michaël Wulff, Claude Pradervand, Dominique Bourgeois, Reinhard Pahl and Thomas Ursby. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Journal of Synchrotron Radiation, Science and Structural Dynamics.
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.