Hanne E. Akselsen

1.5k citations
28 papers · 1.2k indexed · h-index 20
Topics
Diabetes and associated disorders (13 papers)T-cell and B-cell Immunology (8 papers)Immune Cell Function and Interaction (7 papers)

In The Last Decade

Hanne E. Akselsen

28 papers receiving 1.2k citations

Peers

Hanne E. Akselsen
Comparison fields: 5 of 74
  • Genetics 703
  • Immunology 533
  • Surgery 375
  • Endocrinology, Diabetes and Metabolism 368
  • Molecular Biology 130
Replace Helen E. Stevens with:
Helen E. Stevens United Kingdom
H. Donner Germany
Sunanda Babu United States
Beate Skinningsrud Norway
I Deschamps France
Johanna Aaltonen Finland
J. Braun Germany
A Florin-Christensen Argentina
Kalle Kisand Estonia
H Bétuel France
Hanne E. Akselsen relative to Helen E. Stevens United Kingdom Helen E. Stevens's profile →
Citations per field
00.5×1.6×
Helen E. Stevens · 1×
Citations per year

Countries citing papers authored by Hanne E. Akselsen

Since Specialization
Citations

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

Fields of papers citing papers by Hanne E. Akselsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanne E. Akselsen. 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 Hanne E. Akselsen. The network helps show where Hanne E. Akselsen may publish in the future.

Co-authorship network of co-authors of Hanne E. Akselsen

This figure shows the co-authorship network connecting the top 25 collaborators of Hanne E. Akselsen. A scholar is included among the top collaborators of Hanne E. Akselsen 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 Hanne E. Akselsen. Hanne E. Akselsen 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 1
2 45
3 43
4 6
5 28
6 10
7 47
8 6
9 28
10 40
11 37
12 56
13 59
14 18
15 17
16 99
17 29
18 153
19
[Genetic diagnostic test for hemochromatosis].
5
20 25

About Hanne E. Akselsen

Hanne E. Akselsen is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Immunology (533 citations), Genetics (703 citations) and Endocrinology, Diabetes and Metabolism (368 citations). Hanne E. Akselsen has collaborated with scholars based in Norway, Sweden and United Kingdom. Frequent co-authors include Dag E. Undlien, Erik Thorsby, Kjersti S. Rønningen, Benedicte A. Lie, Knut Dahl‐Jørgensen, Geir Joner, John A. Todd, D E Undlien, Jørn Nerup and Flemming Pociot. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Genome Research.

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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