Åke Sidén

1.0k citations
41 papers · 832 · h-index 17

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • T-cell and Retrovirus Studies

Papers in

    • Cancer therapeutics and mechanisms 5
    • Prion Diseases and Protein Misfolding 4
    • DNA Repair Mechanisms 3
    • Cancer-related Molecular Pathways 6
    • Cancer Cells and Metastasis 3

Åke Sidén

41 papers receiving 802 citations

Peers

Åke Sidén
Comparison fields: 5 of 101
  • Neurology 70
  • Immunology 149
  • Oncology 181
  • Molecular Biology 391
  • Pathology and Forensic Medicine 95
Replace George S.W. Tsao with:
George S.W. Tsao Hong Kong
Keizo Furuke Japan
Lili Wang China
Christopher Albanese United States
Sarah Garrido‐Urbani Switzerland
Francesca Mazzola Italy
Ya Zhang China
Randy B. Howard United States
Masataka Horiuchi Japan
Mingzhu He United States
Åke Sidén relative to George S.W. Tsao Hong Kong George S.W. Tsao's profile →
Citations per field
00.5×1.5×
George S.W. Tsao · 1×
Citations per year

Countries citing papers authored by Åke Sidén

Since Specialization
Citations

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

Fields of papers citing papers by Åke Sidén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000127
2 198667
3 199057
4 201455
5 199151
6 200548
7 198537
8 198734
9 200831
10 200129
11 199927
12 201023
13 201023
14 201122
15 200320
16 198917
17 200216
18 200715
19 199814
20 200513

About Åke Sidén

Åke Sidén is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 41 papers that have together received 832 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer therapeutics and mechanisms (5 papers), Prion Diseases and Protein Misfolding (4 papers), Multiple Sclerosis Research Studies (4 papers), Cancer Cells and Metastasis (3 papers), DNA Repair Mechanisms (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (70 citations), Immunology (149 citations), Oncology (181 citations), Molecular Biology (391 citations) and Pathology and Forensic Medicine (95 citations). Åke Sidén has collaborated with scholars based in Sweden, Denmark and Spain. Frequent co-authors include Juan Sebastián Yakisich, Mabel Cruz, Francesca Chiodi, B. Tavolato, Paolo Gallo, Marina Vita, Jan Hillert, Lars‐Olof Wahlund, Milita Crisby and Ingemar Björkhem. Their work appears in journals such as Investigational New Drugs, Electrophoresis, PLoS ONE, Experimental Neurology and Biochemical and Biophysical Research Communications.

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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