Åke Wieslander

3.1k citations
76 papers · 2.7k · h-index 35

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 40
    • Photosynthetic Processes and Mechanisms 16
    • Glycosylation and Glycoproteins Research 8
    • Cellular transport and secretion 9

Åke Wieslander

76 papers receiving 2.5k citations

Peers

Åke Wieslander
Comparison fields: 5 of 115
  • Microbiology 346
  • Biochemistry 227
  • Molecular Biology 2.0k
  • Endocrinology 88
  • Cell Biology 273
Replace Leif Rilfors with:
Leif Rilfors Sweden
John B. Rafferty United Kingdom
Svetlana E. Sedelnikova United Kingdom
Vincent Villeret France
Jenn‐Kang Hwang Taiwan
R.N. McElhaney Canada
Patrick J. Baker United Kingdom
Lothar Jänsch Germany
Zhao‐Xun Liang Singapore
Anders Christiansson Sweden
Åke Wieslander relative to Leif Rilfors Sweden Leif Rilfors's profile →
Citations per field
00.5×1.5×2.1×
Leif Rilfors · 1×
Citations per year

Countries citing papers authored by Åke Wieslander

Since Specialization
Citations

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

Fields of papers citing papers by Åke Wieslander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978145
2 1999109
3 198490
4 198789
5 197784
6 200377
7 197874
8 200874
9 200371
10 200468
11 201167
12 198166
13 200965
14 199364
15 198163
16 200157
17 197855
18 199555
19 198047
20 200947

About Åke Wieslander

Åke Wieslander is a scholar working on Molecular Biology, Cell Biology, Genetics, Microbiology and Biochemistry, having authored 76 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (40 papers), Photosynthetic Processes and Mechanisms (16 papers), Bacterial Genetics and Biotechnology (14 papers), Lipid metabolism and biosynthesis (10 papers), Cellular transport and secretion (9 papers), Microbial infections and disease research (9 papers), Glycosylation and Glycoproteins Research (8 papers) and Surfactants and Colloidal Systems (8 papers). The work is most often cited by research in Microbiology (346 citations), Biochemistry (227 citations), Molecular Biology (2.0k citations), Endocrinology (88 citations) and Cell Biology (273 citations). Åke Wieslander has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Leif Rilfors, Göran Lindblom, Anders Christiansson, Michael Sjöstróm, Olof Karlsson, Anders Dahlqvist, Changrong Ge, Malin Wikström, Susanne Vikström and Krister Fontell. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, European Journal of Biochemistry, Biochemistry and FEBS Letters.

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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