Jens Carlsson
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Organic Chemistry top 5%
- Materials Chemistry
- Co-authors
- Johan ÅqvistJohn J. IrwinBrian K. ShoichetThomas SimonsonKenneth A. JacobsonDavid RodríguezAnirudh RanganathanPierre Matricon
- Topics
- Receptor Mechanisms and Signaling (49 papers)Neuropeptides and Animal Physiology (23 papers)Computational Drug Discovery Methods (21 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- SwedenUnited StatesSpain
In The Last Decade
Jens Carlsson
73 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.5k
- Computational Theory and Mathematics 897
- Cellular and Molecular Neuroscience 797
- Organic Chemistry 343
- Materials Chemistry 281
Countries citing papers authored by Jens Carlsson
This map shows the geographic impact of Jens Carlsson'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 Jens Carlsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Carlsson more than expected).
Fields of papers citing papers by Jens Carlsson
This network shows the impact of papers produced by Jens Carlsson. 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 Jens Carlsson. The network helps show where Jens Carlsson may publish in the future.
Co-authorship network of co-authors of Jens Carlsson
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Carlsson. A scholar is included among the top collaborators of Jens Carlsson 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 Jens Carlsson. Jens Carlsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | A practical guide to large-scale dockingbreakdown → | 310 |
| 10 | 62 | |
| 11 | 42 | |
| 12 | 13 | |
| 13 | 44 | |
| 14 | 41 | |
| 15 | 41 | |
| 16 | 41 | |
| 17 | 33 | |
| 18 | 190 | |
| 19 | 29 | |
| 20 | 243 |
About Jens Carlsson
Jens Carlsson is a scholar working on Physiology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 74 papers that have together received 3.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (49 papers), Neuropeptides and Animal Physiology (23 papers) and Computational Drug Discovery Methods (21 papers). The work is most often cited by research in Computational Theory and Mathematics (897 citations), Physiology (258 citations) and Cellular and Molecular Neuroscience (797 citations). Jens Carlsson has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include Johan Åqvist, John J. Irwin, Brian K. Shoichet, Thomas Simonson, Kenneth A. Jacobson, David Rodríguez, Anirudh Ranganathan, Pierre Matricon, Andreas Luttens and Martin Almlöf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.