Anita Söderberg

982 citations
18 papers · 798 · h-index 11

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Redox biology and oxidative stress 5
    • Glutathione Transferases and Polymorphisms 4
    • Glycosylation and Glycoproteins Research 4
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 2

Anita Söderberg

18 papers receiving 771 citations

Peers

Anita Söderberg
Comparison fields: 5 of 82
  • Genetics 185
  • Immunology 294
  • Pathology and Forensic Medicine 137
  • Molecular Biology 396
  • Biochemistry 40
Replace Benito Casanova with:
Benito Casanova Spain
Darren C. Phillips United States
Dominique Lautier France
Quin Van United States
June Giddings United Kingdom
S E Bernstein United States
Takeo Kuribayashi Japan
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Erik R. Anderson United States
Ma Carmen Durán-Ruiz Spain
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Citations per field
00.5×3.6×
Benito Casanova · 1×
Citations per year

Countries citing papers authored by Anita Söderberg

Since Specialization
Citations

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

Fields of papers citing papers by Anita Söderberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anita Söderberg, 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 Anita Söderberg Line = papers co-authored together Anita Söderberg links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2008199
2
Thioredoxin reductase, a redox-active selenoprotein, is secreted by normal and neoplastic cells: presence in human plasma.
2000153
3 2018100
4 200787
5 199772
6 200348
7 198039
8 201220
9 200212
10 199812
11 198712
12 198010
13 19879
14
Limiting dilution analysis of the suppressive effect mediated by alloantigen-primed cells.
19807
15 19885
16 20095
17 19935
18 19853

About Anita Söderberg

Anita Söderberg is a scholar working on Molecular Biology, Immunology, Nutrition and Dietetics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 798 indexed citations. Recurring topics across this work include Redox biology and oxidative stress (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Glycosylation and Glycoproteins Research (4 papers), T-cell and B-cell Immunology (4 papers), Selenium in Biological Systems (3 papers), Immunotherapy and Immune Responses (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (185 citations), Immunology (294 citations), Pathology and Forensic Medicine (137 citations), Molecular Biology (396 citations) and Biochemistry (40 citations). Anita Söderberg has collaborated with scholars based in Sweden, Switzerland and Ukraine. Frequent co-authors include Anders Rosén, Bita Sahaf, Ana Marı́a Barral, Giannis Spyrou, Mats Söderström, Birgitta Sander, Eva Hellqvist, Kerstin Willander, Sohvi Hörkkö and Gerard Tobin. Their work appears in journals such as The Journal of Immunology, Blood, Journal of Cellular Physiology, Molecular Immunology and Free Radical Biology and Medicine.

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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