Anna Hellquist

564 total citations
9 papers, 347 citations indexed

About

Anna Hellquist is a scholar working on Immunology, Rheumatology and Oncology. According to data from OpenAlex, Anna Hellquist has authored 9 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Rheumatology and 3 papers in Oncology. Recurrent topics in Anna Hellquist's work include Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Anna Hellquist is often cited by papers focused on Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Anna Hellquist collaborates with scholars based in Sweden, Finland and Italy. Anna Hellquist's co-authors include Juha Kere, Sari Koskenmies, Heikki Julkunen, Jaana Panelius, Taina Hasan, Ulpu Saarialho‐Kere, Mauro D’Amato, Tiina M. Järvinen, Marco Zucchelli and Elísabet Einarsdóttir and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Journal of Medical Genetics.

In The Last Decade

Anna Hellquist

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Hellquist Sweden 9 200 151 63 58 43 9 347
Jaime L. Cullen United States 10 317 1.6× 113 0.7× 39 0.6× 59 1.0× 32 0.7× 16 427
Sandra Goss United States 10 114 0.6× 258 1.7× 27 0.4× 75 1.3× 65 1.5× 16 453
P. Sfikakis Greece 13 133 0.7× 127 0.8× 33 0.5× 62 1.1× 26 0.6× 23 356
Luis Dávila-Maldonado Mexico 8 139 0.7× 308 2.0× 31 0.5× 57 1.0× 81 1.9× 12 459
Paulette Jacobs United States 9 119 0.6× 79 0.5× 78 1.2× 98 1.7× 17 0.4× 14 354
Marcos Iglesias Spain 10 120 0.6× 29 0.2× 31 0.5× 93 1.6× 14 0.3× 31 283
David Perret France 5 150 0.8× 39 0.3× 138 2.2× 98 1.7× 26 0.6× 6 328
R. Medaer Belgium 9 172 0.9× 46 0.3× 41 0.7× 56 1.0× 33 0.8× 16 352
Osheik Seidi United Kingdom 10 111 0.6× 27 0.2× 37 0.6× 127 2.2× 17 0.4× 17 360
Francesca Bellucci Italy 12 72 0.4× 49 0.3× 47 0.7× 161 2.8× 15 0.3× 24 454

Countries citing papers authored by Anna Hellquist

Since Specialization
Citations

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

Fields of papers citing papers by Anna Hellquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Hellquist

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

All Works

9 of 9 papers shown
1.
Hellquist, Anna & Kristiina Tammimies. (2021). Access, utilization, and awareness for clinical genetic testing in autism spectrum disorder in Sweden: A survey study. Autism. 26(7). 1795–1804. 10 indexed citations
3.
Anedda, Francesca, Marco Zucchelli, Danika Schepis, et al.. (2011). Multiple Polymorphisms Affect Expression and Function of the Neuropeptide S Receptor (NPSR1). PLoS ONE. 6(12). e29523–e29523. 29 indexed citations
4.
Järvinen, Tiina M., Anna Hellquist, Sari Koskenmies, et al.. (2010). Polymorphisms of the ITGAM Gene Confer Higher Risk of Discoid Cutaneous Than of Systemic Lupus Erythematosus. PLoS ONE. 5(12). e14212–e14212. 36 indexed citations
5.
Hellquist, Anna, Johanna K. Sandling, Sari Koskenmies, et al.. (2009). Variation in STAT4 is associated with systemic lupus erythematosus in a Finnish family cohort. Annals of the Rheumatic Diseases. 69(5). 883–886. 16 indexed citations
6.
Hellquist, Anna, Tiina M. Järvinen, Sari Koskenmies, et al.. (2009). Evidence for Genetic Association and Interaction Between the TYK2 and IRF5 Genes in Systemic Lupus Erythematosus. The Journal of Rheumatology. 36(8). 1631–1638. 60 indexed citations
7.
Järvinen, Tiina M., Anna Hellquist, Sari Koskenmies, et al.. (2009). Tyrosine kinase 2 and interferon regulatory factor 5 polymorphisms are associated with discoid and subacute cutaneous lupus erythematosus. Experimental Dermatology. 19(2). 123–131. 62 indexed citations
8.
Hellquist, Anna, Katja Kivinen, Ulpu Saarialho‐Kere, et al.. (2007). The human GIMAP5 gene has a common polyadenylation polymorphism increasing risk to systemic lupus erythematosus. Journal of Medical Genetics. 44(5). 314–321. 64 indexed citations
9.
Böttcher, Malin Fagerås, J. Magnus Fredriksson, Anna Hellquist, & Maria C. Jenmalm. (2003). Effects of breast milk from allergic and non‐allergic mothers on mitogen‐ and allergen‐induced cytokine production. Pediatric Allergy and Immunology. 14(1). 27–34. 24 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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