Åke Västermark

1.4k citations
31 papers · 1.1k · h-index 16

Impact in

    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics
    • Microbial Metabolic Engineering and Bioproduction
    • Fungal and yeast genetics research
    • Drug Transport and Resistance Mechanisms

Papers in

    • Drug Transport and Resistance Mechanisms 11
    • Protein Structure and Dynamics 6
    • Genomics and Phylogenetic Studies 4
    • Machine Learning in Bioinformatics 3
    • Developmental Biology and Gene Regulation 3
    • Enzyme Catalysis and Immobilization 2

Åke Västermark

31 papers receiving 1.1k citations

Peers

Åke Västermark
Comparison fields: 5 of 97
  • Molecular Biology 506
  • Oncology 169
  • Genetics 197
  • Biochemistry 42
  • Molecular Medicine 39
Replace Simon P. Hardy with:
Simon P. Hardy United Kingdom
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Xuan Li China
Kengo Kanamaru Japan
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Citations per field
00.5×2×4×6×8.4×
Simon P. Hardy · 1×
Citations per year

Countries citing papers authored by Åke Västermark

Since Specialization
Citations

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

Fields of papers citing papers by Åke Västermark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Åke Västermark, 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 Åke Västermark Line = papers co-authored together Åke Västermark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013398
2 2017101
3 201468
4 201153
5 201447
6 201345
7 201141
8 201338
9 201336
10 201331
11 201729
12 201928
13 201522
14 201021
15 201318
16 201317
17 201215
18 201313
19 201411
20 201611

About Åke Västermark

Åke Västermark is a scholar working on Oncology, Molecular Biology, Genetics, Biochemistry and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (11 papers), Protein Structure and Dynamics (6 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Phylogenetic Studies (4 papers), Enzyme Structure and Function (3 papers), Machine Learning in Bioinformatics (3 papers), Developmental Biology and Gene Regulation (3 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Molecular Biology (506 citations), Oncology (169 citations), Genetics (197 citations), Biochemistry (42 citations) and Molecular Medicine (39 citations). Åke Västermark has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Milton H. Saier, Vamsee S. Reddy, Dorjee G. Tamang, Helgi Schiöth, Michael E. Houle, Rita V. M. Rio, Helgi Birgir Schiöth, Eric I. Sun, Maksim A. Shlykov and Robert Fredriksson. Their work appears in journals such as Proteins Structure Function and Bioinformatics, BMC Microbiology, Current Opinion in Microbiology, Nature Biotechnology and European Journal of Pharmacology.

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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