Karin Axelman

4.7k citations
33 papers · 2.9k indexed · 2 hit papers · h-index 18
Topics
Alzheimer's disease research and treatments (28 papers)Dementia and Cognitive Impairment Research (12 papers)Bioinformatics and Genomic Networks (10 papers)

In The Last Decade

Karin Axelman

33 papers receiving 2.8k citations

Hit Papers

A pathogenic mutation for probable Alzheimer's disease in...1992202620032014199220012505007501000

Peers

Karin Axelman
Comparison fields: 5 of 92
  • Physiology 2.4k
  • Molecular Biology 1.5k
  • Pharmacology 530
  • Cellular and Molecular Neuroscience 458
  • Computational Theory and Mathematics 404
Replace Lena Lilius with:
Lena Lilius Sweden
Maho Morishima‐Kawashima Japan
Amie L. Phinney Switzerland
G. William Rebeck United States
Catharine Joachim United States
Wen-Lang Lin United States
Christine Stürchler-Pierrat Switzerland
Leojean Anderson United States
Cécile Dumanchin France
Cindy Zehr United States
Karin Axelman relative to Lena Lilius Sweden Lena Lilius's profile →
Citations per field
00.5×1.5×2.2×
Lena Lilius · 1×
Citations per year

Countries citing papers authored by Karin Axelman

Since Specialization
Citations

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

Fields of papers citing papers by Karin Axelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Axelman

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Axelman. A scholar is included among the top collaborators of Karin Axelman 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 Karin Axelman. Karin Axelman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 41
3 29
4 26
5 9
6 12
7 17
8 18
9
The 'Arctic' APP mutation (E693G) causes Alzheimer's disease by enhanced Aβ protofibril formationbreakdown →
943
10 67
11 54
12 26
13 4
14 37
15 49
16 68
17 27
18 17
19 51
20 11

About Karin Axelman

Karin Axelman is a scholar working on Physiology, Psychiatry and Mental health and Biological Psychiatry, having authored 33 papers that have together received 2.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Dementia and Cognitive Impairment Research (12 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Physiology (2.4k citations), Neurology (306 citations) and Biological Psychiatry (89 citations). Karin Axelman has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Lars Lannfelt, Lena Lilius, Bengt Winblad, Michael Mullan, Henry Houlden, Fiona Crawford, Charlotte Forsell, Jan Näslund, Camilla Nilsberth and Charlotte Stenh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Nature Neuroscience.

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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