Karin Kolmodin
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- Protein Tyrosine Phosphatases
Papers in
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- Protein Tyrosine Phosphatases 6
- ATP Synthase and ATPases Research 6
-
- Computational Drug Discovery Methods 8
- Co-authors
- Johan Åqvist (8 shared papers)Isabella Feierberg (1 shared paper)John Marelius (1 shared paper)Jan Florián (1 shared paper)Johan Åqvist (1 shared paper)Arieh Warshel (1 shared paper)Sherry F. Queener (2 shared papers)Anders Hallberg (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)FEBS Letters (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Biochemical and Biophysical Research Communications (1 paper)Drug Metabolism Reviews (1 paper)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Karin Kolmodin
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 287
- Molecular Biology 666
- Pharmacology 78
- Pharmacology 130
- Organic Chemistry 235
Countries citing papers authored by Karin Kolmodin
This map shows the geographic impact of Karin Kolmodin'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 Karin Kolmodin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Kolmodin more than expected).
Fields of papers citing papers by Karin Kolmodin
This network shows the impact of papers produced by Karin Kolmodin. 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 Karin Kolmodin. The network helps show where Karin Kolmodin may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Kolmodin, 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 | 1998 | 292 | |
| 2 | 1999 | 131 | |
| 3 | 2012 | 107 | |
| 4 | 2007 | 89 | |
| 5 | 2001 | 86 | |
| 6 | 2001 | 74 | |
| 7 | 2009 | 59 | |
| 8 | 2012 | 56 | |
| 9 | 2012 | 34 | |
| 10 | 2013 | 34 | |
| 11 | 2018 | 25 | |
| 12 | 1999 | 23 | |
| 13 | 1999 | 22 | |
| 14 | 2010 | 21 | |
| 15 | 2004 | 16 | |
| 16 | 2002 | 14 | |
| 17 | 1999 | 14 | |
| 18 | 1999 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 1999 | 1 |
About Karin Kolmodin
Karin Kolmodin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physiology, Pharmacology and Immunology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Tyrosine Phosphatases (6 papers), ATP Synthase and ATPases Research (6 papers), Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Computational Theory and Mathematics (287 citations), Molecular Biology (666 citations), Pharmacology (78 citations), Pharmacology (130 citations) and Organic Chemistry (235 citations). Karin Kolmodin has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Johan Åqvist, Isabella Feierberg, John Marelius, Jan Florián, Johan Åqvist, Arieh Warshel, Sherry F. Queener, Anders Hallberg, Johanna Fälting and Britt‐Marie Swahn. Their work appears in journals such as Journal of Medicinal Chemistry, FEBS Letters, Proteins Structure Function and Bioinformatics, Biochemical and Biophysical Research Communications and Drug Metabolism Reviews.
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.