Örjan Åkerborg

471 citations
21 papers · 333 · h-index 9

Impact in

    • Genetic diversity and population structure
    • Genome Rearrangement Algorithms
    • Bacterial Infections and Vaccines

Papers in

Örjan Åkerborg

21 papers receiving 320 citations

Peers

Örjan Åkerborg
Comparison fields: 5 of 60
  • Genetics 88
  • Microbiology 19
  • Paleontology 19
  • Molecular Biology 171
  • Cardiology and Cardiovascular Medicine 29
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Yuan-Hui Fu China
Mashaal Sohail United States
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Joana Carvalho Moreira de Mello Brazil
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Alexey N. Spiridonov United States
Ruiyang Tao China
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Citations per field
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Citations per year

Countries citing papers authored by Örjan Åkerborg

Since Specialization
Citations

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

Fields of papers citing papers by Örjan Åkerborg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 201636
3 201030
4 200823
5 201721
6 202019
7 201914
8 201212
9 201310
10 20148
11 20196
12 20236
13 20126
14 20235
15 20205
16 20143
17 20133
18 20243
19 20242
20 20222

About Örjan Åkerborg

Örjan Åkerborg is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Microbiology and Economics and Econometrics, having authored 21 papers that have together received 333 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Genomics and Phylogenetic Studies (2 papers), Renal cell carcinoma treatment (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic diversity and population structure (1 paper), Spondyloarthritis Studies and Treatments (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Genetics (88 citations), Microbiology (19 citations), Paleontology (19 citations), Molecular Biology (171 citations) and Cardiology and Cardiovascular Medicine (29 citations). Örjan Åkerborg has collaborated with scholars based in Sweden, United States and Ireland. Frequent co-authors include Jens Lagergren, Bengt Sennblad, Lars Arvestad, Pelin Sahlén, Maren Gaudig, Mats Rosenlund, Laura Fratiglioni, Anders Sköldunger, Anders Wimo and Daniel J. Lundin. Their work appears in journals such as Journal of Medical Economics, Cancer Management and Research, Circulation Genomic and Precision Medicine, Clinical Therapeutics and BMC Evolutionary Biology.

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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