Åsa Johansson

51.6k total citations
141 papers, 4.8k citations indexed

About

Åsa Johansson is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Åsa Johansson has authored 141 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 32 papers in Molecular Biology and 17 papers in Epidemiology. Recurrent topics in Åsa Johansson's work include Genetic Associations and Epidemiology (23 papers), Catalytic Processes in Materials Science (12 papers) and Diabetes and associated disorders (9 papers). Åsa Johansson is often cited by papers focused on Genetic Associations and Epidemiology (23 papers), Catalytic Processes in Materials Science (12 papers) and Diabetes and associated disorders (9 papers). Åsa Johansson collaborates with scholars based in Sweden, Germany and United Kingdom. Åsa Johansson's co-authors include Ulf Gyllensten, Weronica E. Ek, Torgny Karlsson, Stefan Enroth, Mathias Rask‐Andersen, Julia Höglund, Subodh Kumar Saha, Huug M. van den Dool, Christopher Heady and Bert Brys and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Åsa Johansson

135 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Åsa Johansson Sweden 36 1.3k 993 572 569 429 141 4.8k
Nikolaos A. Patsopoulos United States 29 882 0.7× 688 0.7× 484 0.8× 547 1.0× 449 1.0× 53 6.1k
Yi Qian United States 39 2.0k 1.5× 1.2k 1.2× 268 0.5× 397 0.7× 445 1.0× 197 6.5k
Evangelia Ntzani Greece 31 1.7k 1.3× 1.4k 1.4× 738 1.3× 602 1.1× 442 1.0× 120 6.9k
Aiyi Liu United States 40 1.5k 1.1× 640 0.6× 820 1.4× 484 0.9× 213 0.5× 232 6.0k
John Barnard United States 34 1.6k 1.2× 1.2k 1.2× 290 0.5× 281 0.5× 813 1.9× 109 5.8k
Lei Lei China 46 3.1k 2.3× 737 0.7× 478 0.8× 437 0.8× 228 0.5× 467 9.1k
Agus Salim Australia 37 1.8k 1.4× 522 0.5× 704 1.2× 682 1.2× 390 0.9× 221 5.9k
V. Gallo United Kingdom 26 781 0.6× 818 0.8× 442 0.8× 550 1.0× 247 0.6× 80 4.0k
Kenneth Rice United States 37 1.2k 0.9× 1.2k 1.3× 315 0.6× 539 0.9× 587 1.4× 123 4.4k
Vivian Lee Hong Kong 43 1.2k 0.9× 306 0.3× 368 0.6× 460 0.8× 758 1.8× 309 6.6k

Countries citing papers authored by Åsa Johansson

Since Specialization
Citations

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

Fields of papers citing papers by Åsa Johansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Åsa Johansson

This figure shows the co-authorship network connecting the top 25 collaborators of Åsa Johansson. A scholar is included among the top collaborators of Åsa Johansson 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 Åsa Johansson. Åsa Johansson 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
2.
Johansson, Åsa, Ole A. Andreassen, Søren Brunak, et al.. (2023). Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification. Journal of Internal Medicine. 294(4). 378–396. 35 indexed citations
3.
Larsen, Søren Vinther, et al.. (2023). Population-based cohort study of oral contraceptive use and risk of depression. Epidemiology and Psychiatric Sciences. 32. e39–e39. 32 indexed citations
4.
Czarnewski, Paulo, Åsa Johansson, A. E. G. Raine, et al.. (2023). OP0021 STRATIFICATION OF PATIENTS WITH SJÖGREN'S SYNDROME BY JOINT MULTI-MODAL ANALYSIS OF CIRCULATING B CELLS. Annals of the Rheumatic Diseases. 82. 13–14. 1 indexed citations
5.
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
6.
Fowler, Philip J., et al.. (2022). Oral Contraceptives, Hormone Replacement Therapy, and Stroke Risk. Stroke. 53(10). 3107–3115. 43 indexed citations
7.
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
8.
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
9.
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
10.
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
11.
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
12.
Jabbar, Karolina S., Brendan Dolan, Catharina Wising, et al.. (2020). Association between Brachyspira and irritable bowel syndrome with diarrhoea. Gut. 70(6). 1117–1129. 38 indexed citations
13.
Johansson, Åsa, Mathias Rask‐Andersen, Torgny Karlsson, & Weronica E. Ek. (2019). Genome-wide association analysis of 350 000 Caucasians from the UK Biobank identifies novel loci for asthma, hay fever and eczema. Human Molecular Genetics. 28(23). 4022–4041. 83 indexed citations
14.
Rask‐Andersen, Mathias, Muhammad Ahsan, Stefan Enroth, et al.. (2016). Epigenome-wide association study reveals differential DNA methylation in individuals with a history of myocardial infarction. Human Molecular Genetics. 25(21). ddw302–ddw302. 74 indexed citations
15.
Enroth, Stefan, Adam Ameur, Åsa Johansson, & Ulf Gyllensten. (2013). Omega-3 and omega-6 fatty acids are more efficiently synthesized in populations having a high frequency of the derived FADS-haplotype. International Journal of Circumpolar Health. 72. 511–512. 1 indexed citations
16.
Hagström, Emil, Niclas Eriksson, Åsa Johansson, et al.. (2013). Are There Any Causal Relations Between Growth Differentiation Factor 15 and Outcomes in Patients With Acute Coronary Syndrome? : - A Report From the Plato Gwas Study. Circulation. 128(22). 2 indexed citations
17.
Västermark, Åke, Josefin A. Jacobsson, Åsa Johansson, et al.. (2012). Polymorphisms in sh2b1 and spns1 loci are associated with triglyceride levels in a healthy population in northern Sweden. Journal of Genetics. 91(2). 237–240. 5 indexed citations
18.
19.
Johansson, Åsa, et al.. (2007). Evaluation of the SNP tagging approach in an independent population sample—array-based SNP discovery in Sami. Human Genetics. 122(2). 141–150. 8 indexed citations
20.
Johansson, Åsa, Ruth Andrew, Håkan Forsberg, et al.. (2001). Glucocorticoid Metabolism and Adrenocortical Reactivity to ACTH in Myotonic Dystrophy. The Journal of Clinical Endocrinology & Metabolism. 86(9). 4276–4283. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026