Anneli Karlsson
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 10%
- Pharmacology top 5%
- Genetics top 10%
- Co-authors
- John P. OveringtonAnna GaultonAnne HerseyA. Patrícia BentoRita SantosOleg UrsuTudor I. OpreaCristian Bologa
- Topics
- Computational Drug Discovery Methods (3 papers)Helicobacter pylori-related gastroenterology studies (3 papers)Galectins and Cancer Biology (3 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Anneli Karlsson
13 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.6k
- Computational Theory and Mathematics 1.5k
- Materials Chemistry 395
- Pharmacology 345
- Genetics 329
Countries citing papers authored by Anneli Karlsson
This map shows the geographic impact of Anneli Karlsson'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 Anneli Karlsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anneli Karlsson more than expected).
Fields of papers citing papers by Anneli Karlsson
This network shows the impact of papers produced by Anneli Karlsson. 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 Anneli Karlsson. The network helps show where Anneli Karlsson may publish in the future.
Co-authorship network of co-authors of Anneli Karlsson
This figure shows the co-authorship network connecting the top 25 collaborators of Anneli Karlsson. A scholar is included among the top collaborators of Anneli Karlsson 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 Anneli Karlsson. Anneli Karlsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Beetles in an urban community garden can indicate global warming | 1 |
| 3 | The druggable genome and support for target identification and validation in drug developmentbreakdown → | 494 |
| 4 | A comprehensive map of molecular drug targetsbreakdown → | 1594 |
| 5 | The ChEMBL database in 2017breakdown → | 1589 |
| 6 | 24 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 30 | |
| 13 | Point mutations and deletions in the znfn1a1/ikaros gene in chemically induced murine lymphomas. | 15 |
| 14 | 43 |
About Anneli Karlsson
Anneli Karlsson is a scholar working on Immunology, Computational Theory and Mathematics and Information Systems and Management, having authored 14 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Molecular Biology (2.6k citations) and Pharmacology (227 citations). Anneli Karlsson has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include John P. Overington, Anna Gaulton, Anne Hersey, A. Patrícia Bento, Rita Santos, Oleg Ursu, Tudor I. Oprea, Cristian Bologa, Bissan Al‐Lazikani and Jon Chambers. Their work appears in journals such as Nucleic Acids Research, Nature Reviews Drug Discovery and The FASEB Journal.
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.