Anna Linusson

66 papers receiving 1.5k citations

Peers

Anna Linusson
Comparison fields: 5 of 116
  • Computational Theory and Mathematics 439
  • Pharmacology 322
  • Organic Chemistry 299
  • Oncology 242
  • Spectroscopy 163
Replace Prabha Garg with:
Prabha Garg India
Paul Labute Canada
Patric Stenberg Sweden
Martin Smieško Switzerland
Ahmad Reza Mehdipour Iran
Melissa F. Adasme Germany
Sebastian Salentin Germany
Erin S. D. Bolstad United States
Hongmao Sun United States
Sargis Dallakyan United States
Anna Linusson relative to Prabha Garg India Prabha Garg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anna Linusson

Since Specialization
Citations

This map shows the geographic impact of Anna Linusson'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 Anna Linusson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Linusson more than expected).

Fields of papers citing papers by Anna Linusson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Linusson. 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 Anna Linusson. The network helps show where Anna Linusson may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna Linusson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Linusson Line = papers co-authored together Anna Linusson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200072
2 201569
3 200768
4 201164
5 200761
6 201058
7 201350
8 201648
9 201147
10 200347
11 200147
12 201543
13 201343
14 200440
15 201339
16 201236
17 201236
18 201334
19 200932
20 201631

About Anna Linusson

Anna Linusson is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Spectroscopy and Plant Science, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Cholinesterase and Neurodegenerative Diseases (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Analytical Chemistry and Chromatography (9 papers), Protein Structure and Dynamics (8 papers), Glycosylation and Glycoproteins Research (7 papers), Insect Pest Control Strategies (7 papers) and PARP inhibition in cancer therapy (5 papers). The work is most often cited by research in Computational Theory and Mathematics (439 citations), Pharmacology (322 citations), Organic Chemistry (299 citations), Oncology (242 citations) and Spectroscopy (163 citations). Anna Linusson has collaborated with scholars based in Sweden, United Kingdom and Kenya. Frequent co-authors include David Andersson, Fredrik Ekström, Svante Wold, Mikael Elofsson, Johan Gottfries, Markus K. Dahlgren, T. Karlberg, Staffan Folestad, H. Schüler and Ismael Zamora. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS ONE, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Journal of Chemical Information and Modeling.

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.

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