Maria Hasselquist

22 total papers · 1.5k total citations
17 papers, 1.0k citations indexed

About

Maria Hasselquist is a scholar working on Rheumatology, Immunology and Hematology. According to data from OpenAlex, Maria Hasselquist has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Rheumatology, 7 papers in Immunology and 4 papers in Hematology. Recurrent topics in Maria Hasselquist's work include Rheumatoid Arthritis Research and Therapies (16 papers), Spondyloarthritis Studies and Treatments (9 papers) and Psoriasis: Treatment and Pathogenesis (7 papers). Maria Hasselquist is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (16 papers), Spondyloarthritis Studies and Treatments (9 papers) and Psoriasis: Treatment and Pathogenesis (7 papers). Maria Hasselquist collaborates with scholars based in Denmark, United States and Netherlands. Maria Hasselquist's co-authors include Jakob Møllenbach Møller, Mikkel Østergaard, Uffe Møller Døhn, Marcin Szkudlarek, Bo Ejbjerg, Eva Narvestad, Henrik S. Thomsen, Michael Sejer Hansen, Michel Court‐Payen and Lene Terslev and has published in prestigious journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Arthritis Research & Therapy.

In The Last Decade

Maria Hasselquist

16 papers receiving 996 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Hasselquist 936 226 211 204 186 17 1.0k
B Ejbjerg 822 0.9× 233 1.0× 169 0.8× 163 0.8× 56 0.3× 24 937
G. Hansen 754 0.8× 107 0.5× 126 0.6× 208 1.0× 200 1.1× 13 892
Monica Luchi 530 0.6× 154 0.7× 194 0.9× 116 0.6× 115 0.6× 16 874
Paul Emery 532 0.6× 84 0.4× 159 0.8× 138 0.7× 123 0.7× 21 816
J. P. Gofton 654 0.7× 202 0.9× 62 0.3× 151 0.7× 116 0.6× 24 858
D L Scott 797 0.9× 243 1.1× 105 0.5× 218 1.1× 142 0.8× 15 1.1k
J P Crabbe 701 0.7× 251 1.1× 124 0.6× 91 0.4× 33 0.2× 13 873
R. Will 570 0.6× 110 0.5× 222 1.1× 164 0.8× 198 1.1× 35 997
Melek Güler-Yüksel 842 0.9× 61 0.3× 218 1.0× 196 1.0× 134 0.7× 19 987
Lukas Wildi 675 0.7× 247 1.1× 140 0.7× 72 0.4× 177 1.0× 27 844

Countries citing papers authored by Maria Hasselquist

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hasselquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Hasselquist

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Hasselquist. A scholar is included among the top collaborators of Maria Hasselquist 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 Maria Hasselquist. Maria Hasselquist 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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