Johan Ulander
Impact in
- Filtration and Separation top 5%
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- Electrostatics and Colloid Interactions
Papers in
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- Protein Structure and Dynamics 8
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- Computational Drug Discovery Methods 10
- Co-authors
- Garegin A. Papoian (5 shared papers)Peter G. Wolynes (3 shared papers)Roland Kjellander (6 shared papers)Michael P. Eastwood (2 shared papers)Zaida Luthey‐Schulten (2 shared papers)A. D. J. Haymet (1 shared paper)Hong Wan (1 shared paper)Stefan Geschwindner (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)The Journal of Chemical Physics (4 papers)Biophysical Journal (2 papers)Journal of the American Chemical Society (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Johan Ulander
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Filtration and Separation 47
- Physical and Theoretical Chemistry 188
- Computational Theory and Mathematics 209
- Molecular Biology 809
- Spectroscopy 175
Countries citing papers authored by Johan Ulander
This map shows the geographic impact of Johan Ulander'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 Johan Ulander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Ulander more than expected).
Fields of papers citing papers by Johan Ulander
This network shows the impact of papers produced by Johan Ulander. 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 Johan Ulander. The network helps show where Johan Ulander may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Ulander, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 269 | |
| 2 | 2003 | 163 | |
| 3 | 2003 | 102 | |
| 4 | 2015 | 97 | |
| 5 | 2023 | 81 | |
| 6 | 2006 | 74 | |
| 7 | 2014 | 57 | |
| 8 | 2024 | 43 | |
| 9 | 2001 | 39 | |
| 10 | 2001 | 36 | |
| 11 | 2014 | 36 | |
| 12 | 1998 | 32 | |
| 13 | 2019 | 31 | |
| 14 | 2006 | 31 | |
| 15 | 2022 | 29 | |
| 16 | 2011 | 27 | |
| 17 | 2016 | 26 | |
| 18 | 2016 | 24 | |
| 19 | 2017 | 19 | |
| 20 | 2016 | 19 |
About Johan Ulander
Johan Ulander is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Pharmacology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (8 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Electrostatics and Colloid Interactions (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Enzyme Structure and Function (5 papers), Thermodynamic properties of mixtures (4 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Filtration and Separation (47 citations), Physical and Theoretical Chemistry (188 citations), Computational Theory and Mathematics (209 citations), Molecular Biology (809 citations) and Spectroscopy (175 citations). Johan Ulander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Garegin A. Papoian, Peter G. Wolynes, Roland Kjellander, Michael P. Eastwood, Zaida Luthey‐Schulten, A. D. J. Haymet, Hong Wan, Stefan Geschwindner, Patrik Johansson and Christian Tyrchan. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Chemical Physics, Biophysical Journal, Journal of the American Chemical Society 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.