Julia Höglund

880 total citations
13 papers, 496 citations indexed

About

Julia Höglund is a scholar working on Genetics, Hematology and Oncology. According to data from OpenAlex, Julia Höglund has authored 13 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 3 papers in Hematology and 2 papers in Oncology. Recurrent topics in Julia Höglund's work include Genetic Associations and Epidemiology (7 papers), Diabetes and associated disorders (2 papers) and Estrogen and related hormone effects (2 papers). Julia Höglund is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Diabetes and associated disorders (2 papers) and Estrogen and related hormone effects (2 papers). Julia Höglund collaborates with scholars based in Sweden, Colombia and United Kingdom. Julia Höglund's co-authors include Åsa Johansson, Weronica E. Ek, Torgny Karlsson, Mathias Rask‐Andersen, Gang Pan, Claes Wadelius, Stefan Enroth, Fatemeh Hadizadeh, Nima Rafati and Emma Ivansson and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Julia Höglund

12 papers receiving 490 citations

Peers

Julia Höglund
Julia Höglund
Citations per year, relative to Julia Höglund Julia Höglund (= 1×) peers Bülent Hacıhamdioğlu

Countries citing papers authored by Julia Höglund

Since Specialization
Citations

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

Fields of papers citing papers by Julia Höglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Höglund

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

All Works

13 of 13 papers shown
1.
Rask‐Andersen, Mathias, Emma Ivansson, Julia Höglund, et al.. (2023). Adiposity and sex-specific cancer risk. Cancer Cell. 41(6). 1186–1197.e4. 30 indexed citations
2.
Faro, Valeria Lo, et al.. (2023). Polygenic risk scores and risk stratification in deep vein thrombosis. Thrombosis Research. 228. 151–162. 7 indexed citations
3.
Johansson, Åsa, et al.. (2022). Investigating the Effect of Estradiol Levels on the Risk of Breast, Endometrial, and Ovarian Cancer. Journal of the Endocrine Society. 6(8). bvac100–bvac100. 22 indexed citations
4.
Kierczak, Marcin, Nima Rafati, Julia Höglund, et al.. (2022). Contribution of rare whole-genome sequencing variants to plasma protein levels and the missing heritability. Nature Communications. 13(1). 2532–2532. 13 indexed citations
5.
Höglund, Julia, Fatemeh Hadizadeh, Weronica E. Ek, Torgny Karlsson, & Åsa Johansson. (2022). Gene-Based Variant Analysis of Whole-Exome Sequencing in Relation to Eosinophil Count. Frontiers in Immunology. 13. 862255–862255. 5 indexed citations
6.
Karlsson, Torgny, et al.. (2021). Time-Dependent Effects of Oral Contraceptive Use on Breast, Ovarian, and Endometrial Cancers. Cancer Research. 81(4). 1153–1162. 56 indexed citations
7.
Höglund, Julia, et al.. (2021). Characterization of the human ABO genotypes and their association to common inflammatory and cardiovascular diseases in the UK Biobank. American Journal of Hematology. 96(11). 1350–1362. 13 indexed citations
8.
Ek, Weronica E., Torgny Karlsson, Julia Höglund, Mathias Rask‐Andersen, & Åsa Johansson. (2021). Causal effects of inflammatory protein biomarkers on inflammatory diseases. Science Advances. 7(50). eabl4359–eabl4359. 31 indexed citations
9.
Ek, Weronica E., et al.. (2021). Genome-wide Association Study of Estradiol Levels and the Causal Effect of Estradiol on Bone Mineral Density. The Journal of Clinical Endocrinology & Metabolism. 106(11). e4471–e4486. 54 indexed citations
10.
Höglund, Julia, Nima Rafati, Mathias Rask‐Andersen, et al.. (2019). Improved power and precision with whole genome sequencing data in genome-wide association studies of inflammatory biomarkers. Scientific Reports. 9(1). 16844–16844. 35 indexed citations
11.
Höglund, Julia, Mindaugas Mitkus, Peter Olsson, et al.. (2019). Owls lack UV-sensitive cone opsin and red oil droplets, but see UV light at night: Retinal transcriptomes and ocular media transmittance. Vision Research. 158. 109–119. 27 indexed citations
12.
Karlsson, Torgny, Mathias Rask‐Andersen, Gang Pan, et al.. (2019). Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease. Nature Medicine. 25(9). 1390–1395. 203 indexed citations
13.
Ek, Weronica E., et al.. (2019). Long-Term Health Related Risks and Benefits of Oral Contraceptive Use. SSRN Electronic Journal.

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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