Andreas E. R. Fasth

23 total papers · 774 total citations
15 papers, 595 citations indexed

About

Andreas E. R. Fasth is a scholar working on Immunology, Epidemiology and Rheumatology. According to data from OpenAlex, Andreas E. R. Fasth has authored 15 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Epidemiology and 5 papers in Rheumatology. Recurrent topics in Andreas E. R. Fasth's work include T-cell and B-cell Immunology (8 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Andreas E. R. Fasth is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Andreas E. R. Fasth collaborates with scholars based in Sweden, Switzerland and United Kingdom. Andreas E. R. Fasth's co-authors include Vivianne Malmström, Christina Trollmo, Jayesh M. Pandya, Ingrid E. Lundberg, Karl‐Johan Malmberg, Ronald van Vollenhoven, Eva Lindroos, Afsar Rahbar, Niklas K. Björkström and Jan Andersson and has published in prestigious journals such as The Journal of Immunology, Annals of the Rheumatic Diseases and European Journal of Immunology.

In The Last Decade

Andreas E. R. Fasth

15 papers receiving 589 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas E. R. Fasth 372 225 124 112 49 15 595
Huaxi Xu 349 0.9× 122 0.5× 92 0.7× 139 1.2× 17 0.3× 12 611
Yun Fu 181 0.5× 141 0.6× 58 0.5× 78 0.7× 124 2.5× 19 553
Kim Timmermans 242 0.7× 150 0.7× 44 0.4× 185 1.7× 9 0.2× 14 641
Andrea Tagwerker 302 0.8× 134 0.6× 26 0.2× 119 1.1× 21 0.4× 11 616
Nickie Seto 392 1.1× 85 0.4× 198 1.6× 200 1.8× 56 1.1× 14 599
Eunkyeong Jang 392 1.1× 57 0.3× 62 0.5× 192 1.7× 13 0.3× 24 660
Audrey Beringer 337 0.9× 96 0.4× 112 0.9× 112 1.0× 74 1.5× 13 623
Athanasios Ziogas 225 0.6× 103 0.5× 43 0.3× 140 1.3× 25 0.5× 16 565
A. Herrmann 168 0.5× 100 0.4× 65 0.5× 181 1.6× 23 0.5× 9 667
Ágnes Gyetvai 221 0.6× 153 0.7× 255 2.1× 140 1.3× 27 0.6× 23 684

Countries citing papers authored by Andreas E. R. Fasth

Since Specialization
Citations

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

Fields of papers citing papers by Andreas E. R. Fasth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas E. R. Fasth. 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 Andreas E. R. Fasth. The network helps show where Andreas E. R. Fasth may publish in the future.

Co-authorship network of co-authors of Andreas E. R. Fasth

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

All Works

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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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