Anna Ridderstad

644 citations
23 papers · 578 · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Xenotransplantation and immune response
    • Pancreatic function and diabetes

Papers in

Anna Ridderstad

23 papers receiving 554 citations

Peers

Anna Ridderstad
Comparison fields: 5 of 72
  • Immunology 302
  • Surgery 143
  • Genetics 93
  • Radiology, Nuclear Medicine and Imaging 71
  • Rheumatology 42
Replace Natsuko Okada with:
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T Masuda Japan
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Citations per field
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Natsuko Okada · 1×
Citations per year

Countries citing papers authored by Anna Ridderstad

Since Specialization
Citations

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

Fields of papers citing papers by Anna Ridderstad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Anna Ridderstad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Ridderstad Line = papers co-authored together Anna Ridderstad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998131
2 199181
3 199672
4 199055
5 199646
6 199639
7 199433
8 200325
9 200225
10 199511
11 198911
12 19997
13 19976
14 19896
15 19975
16 19925
17 19915
18
The CD4+ effector cell in islet xenotransplantation is a macrophage and not a T-lymphocyte.
19953
19 19933
20 19943

About Anna Ridderstad

Anna Ridderstad is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Genetics and Genetics, having authored 23 papers that have together received 578 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (5 papers), Xenotransplantation and immune response (4 papers), Glycosylation and Glycoproteins Research (3 papers), Diabetes and associated disorders (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (302 citations), Surgery (143 citations), Genetics (93 citations), Radiology, Nuclear Medicine and Imaging (71 citations) and Rheumatology (42 citations). Anna Ridderstad has collaborated with scholars based in Sweden, Australia and United Kingdom. Frequent co-authors include David Mathew Tarlinton, Erna Möller, Manuchehr Abedi‐Valugerdi, Alex Karlsson‐Parra, Olle Korsgren, Gustav J. V. Nossal, Hans‐Gustaf Ljunggren, Birgitta Benda, Olle Olerup and Sven Pettersson. Their work appears in journals such as Scandinavian Journal of Immunology, Transplantation, The Journal of Immunology, Immunological Reviews and Journal of Autoimmunity.

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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