Berith Nilsson

708 citations
13 papers · 601 · h-index 9

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Virus-based gene therapy research 7
    • CAR-T cell therapy research 4

Berith Nilsson

13 papers receiving 587 citations

Peers

Berith Nilsson
Comparison fields: 5 of 57
  • Oncology 304
  • Immunology 222
  • Genetics 200
  • Molecular Biology 216
  • Neurology 20
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Kina Smith United States
Nicole A. Belmar United States
Hélène Haegel France
Niels Junker Denmark
Thomas D. Southgate United Kingdom
Patric M. Schiltz United States
Jérôme Perrard United States
Yan Luan China
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Citations per year

Countries citing papers authored by Berith Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Berith Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012317
2 201654
3 201044
4 200436
5 201232
6 201132
7 201326
8 199221
9 199616
10 19969
11 20138
12 20054
13
Systemic lupus erythematosus subgroups, with features of antiphospholipid or Sjogren's syndrome, differ in molecular signatures and treatment perspectives
20182

About Berith Nilsson

Berith Nilsson is a scholar working on Genetics, Oncology, Immunology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 601 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Neuroblastoma Research and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA Interference and Gene Delivery (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (304 citations), Immunology (222 citations), Genetics (200 citations), Molecular Biology (216 citations) and Neurology (20 citations). Berith Nilsson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Magnus Essand, Angelica Loskog, Binfeng Lu, Moa E. Fransson, Eva B. Brittebo, Peetra Ulrica Magnusson, Joachim Burman, Robert Adam Harris, Elena Piras and Di Yu. Their work appears in journals such as Acta Oncologica, PLoS ONE, The Journal of Infectious Diseases, Scandinavian Journal of Rheumatology and Molecular Therapy.

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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