Lars Carlsson
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Cell Biology top 1%
- Cellular Mechanics and Interactions
Papers in
-
- Computational Drug Discovery Methods 39
- Co-authors
- Uno LindbergIngrid BlikstadScott BoyerF MarkeyTorgny PerssonLina NyströmUlf NorinderMartin Eklund
- Journals
- Journal of Chemical Information and Modeling (21 papers)Journal of Cheminformatics (4 papers)Cell (2 papers)Journal of Power Sources (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Lars Carlsson
78 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Computational Theory and Mathematics 1.3k
- Cell Biology 961
- Immunology and Allergy 220
- Biophysics 199
- Molecular Biology 1.9k
Countries citing papers authored by Lars Carlsson
This map shows the geographic impact of Lars 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 Lars Carlsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Carlsson more than expected).
Fields of papers citing papers by Lars Carlsson
This network shows the impact of papers produced by Lars 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 Lars Carlsson. The network helps show where Lars Carlsson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lars Carlsson, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 12 | |
| 4 | 2018 | 11 | |
| 5 | The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching Hit paper breakdown → | 2017 | 366 |
| 6 | 2017 | 20 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 1 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 10 | |
| 11 | 2014 | 39 | |
| 12 | 2014 | 36 | |
| 13 | 2013 | 14 | |
| 14 | 2013 | 28 | |
| 15 | 2012 | 23 | |
| 16 | 2012 | 8 | |
| 17 | 2011 | 34 | |
| 18 | 2010 | 10 | |
| 19 | 2010 | 62 | |
| 20 | 2007 | 88 |
About Lars Carlsson
Lars Carlsson is a scholar working on Computational Theory and Mathematics, General Energy, Spectroscopy, Biophysics and Molecular Biology, having authored 82 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Machine Learning in Materials Science (18 papers), Analytical Chemistry and Chromatography (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Cellular Mechanics and Interactions (6 papers), Workplace Health and Well-being (5 papers), Protein Structure and Dynamics (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Cell Biology (961 citations), Immunology and Allergy (220 citations), Biophysics (199 citations) and Molecular Biology (1.9k citations). Lars Carlsson has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Uno Lindberg, Ingrid Blikstad, Scott Boyer, F Markey, Torgny Persson, Lina Nyström, Ulf Norinder, Martin Eklund, Francis Markey and Sarah E. Hitchcock. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Cell, Journal of Power Sources 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.