Ole Kim Hansen

1.4k total citations
67 papers, 1.0k citations indexed

About

Ole Kim Hansen is a scholar working on Plant Science, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Ole Kim Hansen has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 16 papers in Cardiology and Cardiovascular Medicine and 16 papers in Genetics. Recurrent topics in Ole Kim Hansen's work include Genetic diversity and population structure (15 papers), Plant and animal studies (10 papers) and Plant Pathogens and Fungal Diseases (8 papers). Ole Kim Hansen is often cited by papers focused on Genetic diversity and population structure (15 papers), Plant and animal studies (10 papers) and Plant Pathogens and Fungal Diseases (8 papers). Ole Kim Hansen collaborates with scholars based in Denmark, Sweden and United States. Ole Kim Hansen's co-authors include Bengt W. Johansson, Ulrik B. Nielsen, Erik Dahl Kjær, Bo Gullberg, Patrik Tydén, Lars Janzon, Giovanni G. Vendramin, Gunnar Engström, Bo Hedblad and Lea Vig McKinney and has published in prestigious journals such as Scientific Reports, American Journal of Epidemiology and European Heart Journal.

In The Last Decade

Ole Kim Hansen

64 papers receiving 983 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ole Kim Hansen Denmark 19 256 220 209 181 147 67 1.0k
Anne Nissinen Finland 25 178 0.7× 1.0k 4.8× 117 0.6× 52 0.3× 42 0.3× 60 1.9k
Delphine Legrand Belgium 15 45 0.2× 66 0.3× 78 0.4× 174 1.0× 155 1.1× 26 1.1k
Philippe Cuénoud Switzerland 5 32 0.1× 266 1.2× 420 2.0× 95 0.5× 24 0.2× 6 1.4k
Carey Suehs France 18 148 0.6× 373 1.7× 60 0.3× 52 0.3× 424 2.9× 53 1.3k
J. C. Brown United Kingdom 17 35 0.1× 69 0.3× 131 0.6× 65 0.4× 57 0.4× 34 1.1k
Scott J. Richter United States 15 202 0.8× 123 0.6× 127 0.6× 43 0.2× 48 0.3× 50 902
Catherine Baxter Australia 17 26 0.1× 455 2.1× 465 2.2× 137 0.8× 12 0.1× 44 1.3k
D. C. Rule United States 30 66 0.3× 104 0.5× 494 2.4× 578 3.2× 74 0.5× 91 2.8k
Tadashi Kato Japan 19 30 0.1× 330 1.5× 174 0.8× 66 0.4× 18 0.1× 100 1.3k
Jixia Huang China 16 54 0.2× 104 0.5× 23 0.1× 15 0.1× 31 0.2× 41 645

Countries citing papers authored by Ole Kim Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Ole Kim Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ole Kim Hansen. 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 Ole Kim Hansen. The network helps show where Ole Kim Hansen may publish in the future.

Co-authorship network of co-authors of Ole Kim Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Ole Kim Hansen. A scholar is included among the top collaborators of Ole Kim Hansen 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 Ole Kim Hansen. Ole Kim Hansen 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
1.
2.
Perry, Annika, Filippos A. Aravanopoulos, Katharina B. Budde, et al.. (2024). Resilient forests for the future. Tree Genetics & Genomes. 20(3). 1 indexed citations
3.
Vatanparast, Mohammad, Palle Madsen, Khosro Sagheb‐Talebi, et al.. (2024). Genomic diversity of major tree species in the Eurasian relict forests of northern Iran. Tree Genetics & Genomes. 20(5).
4.
Cappa, Eduardo P., et al.. (2024). Genomic evaluation for breeding and genetic management in Cordia africana, a multipurpose tropical tree species. BMC Genomics. 25(1). 9–9. 3 indexed citations
5.
Brang, Peter, Yann Vitasse, Martin Kohler, et al.. (2023). Tracing the origin of Oriental beech stands across Western Europe and reporting hybridization with European beech – Implications for assisted gene flow. Forest Ecology and Management. 531. 120801–120801. 24 indexed citations
6.
Hansen, Ole Kim, Kurt Lamour, Ross Whetten, et al.. (2020). Ad hoc breeding of a genetically depauperate landrace of noble fir (Abies procera Rehder) using SNP genotyping via high-throughput targeted sequencing. Tree Genetics & Genomes. 16(5). 4 indexed citations
7.
Nielsen, Knud Nor, Iben Margrete Thomsen, & Ole Kim Hansen. (2019). Direct quantitative real‐time PCR assay for detection of the emerging pathogen Neonectria neomacrospora. Forest Pathology. 49(3). 2 indexed citations
8.
Stanturf, John A., Palle Madsen, Khosro Sagheb‐Talebi, & Ole Kim Hansen. (2018). Transformational restoration: novel ecosystems in Denmark. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 152(3). 536–546. 13 indexed citations
9.
10.
Xu, Jing, Katharina B. Budde, Ole Kim Hansen, et al.. (2018). Do silver fir woolly adelgids (Dreyfusia nordmannianae) facilitate pathogen infestation with Neonectria neomacrospora on Christmas trees (Abies nordmanniana)?. Forest Ecology and Management. 424. 396–405. 4 indexed citations
11.
Budde, Katharina B., et al.. (2018). Hyrcanian forests—Stable rear‐edge populations harbouring high genetic diversity ofFraxinus excelsior,a common European tree species. Diversity and Distributions. 24(11). 1521–1533. 23 indexed citations
12.
Hansen, Ole Kim, et al.. (2017). Provenance variation in Christmas tree characteristics in subalpine fir (Abies lasiocarpa) planted in Denmark and Iceland. Scandinavian Journal of Forest Research. 33(3). 222–232. 4 indexed citations
13.
Kindt, Roeland, Alice Muchugi, Ole Kim Hansen, et al.. (2011). Molecular Markers for Tropical Trees: Statistical Analysis of Dominant Data: ICRAF Technical Manual No. 13.. 1 indexed citations
14.
Ohlsson, Henrik, Maria Rosvall, Ole Kim Hansen, Basile Chaix, & Juan Merlo. (2010). Socioeconomic position and secondary preventive therapy after an AMI. Pharmacoepidemiology and Drug Safety. 19(4). 358–366. 17 indexed citations
15.
Hansen, Ole Kim & Ulrik B. Nielsen. (2008). Crossing Success in Abies nordmanniana Following Artificial Pollination With a Pollen Mixture of A. nordmanniana and A. alba. Silvae genetica. 57(1-6). 70–76. 9 indexed citations
16.
Tydén, Patrik, Gunnar Engström, Ole Kim Hansen, Bo Hedblad, & Lars Janzon. (2001). Geographical pattern of female deaths from myocardial infarction in an urban population: fatal outcome out‐of‐hospital related to socio‐economic deprivation. Journal of Internal Medicine. 250(3). 201–207. 11 indexed citations
17.
18.
Hansen, Ole Kim & Bengt W. Johansson. (1991). Epidemiologic Aspects of Coronary Heart Disease in Malmö, Sweden, 1935–1988. American Journal of Epidemiology. 133(7). 721–733. 29 indexed citations
19.
Hansen, Ole Kim & Bengt W. Johansson. (1989). S-Mg Does Not Change Inversely to S-FFA During Acute Stress Situations. Angiology. 40(11). 1011–1019. 4 indexed citations
20.
Johansson, Bengt W., et al.. (1988). Adrenaline-Induced Changes in Serum Electrolytes, ECG, and Blood Pressure, with Ca-Blockade Pretreatment. Angiology. 39(4). 345–354. 8 indexed citations

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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