Maja Wållberg

582 citations
18 papers · 407 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Diabetes and associated disorders
    • Virus-based gene therapy research

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 2
    • Diabetes and associated disorders 10

Maja Wållberg

18 papers receiving 400 citations

Peers

Maja Wållberg
Comparison fields: 5 of 67
  • Immunology 163
  • Genetics 181
  • Endocrinology, Diabetes and Metabolism 68
  • Surgery 115
  • Neurology 12
Replace Andrea Valle with:
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Maja Wållberg relative to Andrea Valle Italy Andrea Valle's profile →
Citations per field
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Andrea Valle · 1×
Citations per year

Countries citing papers authored by Maja Wållberg

Since Specialization
Citations

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

Fields of papers citing papers by Maja Wållberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013109
2 200856
3 200742
4 201336
5 201723
6 200520
7 201720
8 201716
9 201713
10 201711
11 201610
12 201110
13 201810
14 20039
15 20188
16 20066
17 20165
18 20093

About Maja Wållberg

Maja Wållberg is a scholar working on Immunology, Genetics, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 407 indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Pancreatic function and diabetes (3 papers), Diabetes Management and Research (2 papers), Immunotherapy and Immune Responses (2 papers), Trypanosoma species research and implications (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Immunology (163 citations), Genetics (181 citations), Endocrinology, Diabetes and Metabolism (68 citations), Surgery (115 citations) and Neurology (12 citations). Maja Wållberg has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include Anne Cooke, F. Susan Wong, E. Allison Green, Robert A. Harris, Pere Santamaría, Adnane Achour, Esther C.W. Breij, Jonas Bergquist, Paola Zaccone and David Thomas. Their work appears in journals such as European Journal of Immunology, Diabetes, PLoS ONE, The Journal of Immunology and Trends in Immunology.

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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