Line Raaby

470 citations
17 papers · 353 · h-index 9

Impact in

    • Dermatology and Skin Diseases
  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Psoriasis: Treatment and Pathogenesis 6
    • Ubiquitin and proteasome pathways 1
    • S100 Proteins and Annexins 1
    • 14-3-3 protein interactions 1

Line Raaby

14 papers receiving 349 citations

Peers

Line Raaby
Comparison fields: 5 of 55
  • Dermatology 102
  • Immunology 201
  • Immunology and Allergy 27
  • Complementary and Manual Therapy 6
  • Rheumatology 34
Replace Monika Zabłotna with:
Monika Zabłotna Poland
Xiaojun Sun China
Firas Al‐Qarqaz Jordan
Pascale Zwicky Switzerland
Alok Vij United States
Shuni Ying China
Yifan Hu China
Gianluca Pagnanelli Italy
T.O. Bleiker United Kingdom
Jan Romantowski Poland
Line Raaby relative to Monika Zabłotna Poland Monika Zabłotna's profile →
Citations per field
00.5×
Monika Zabłotna · 1×
Citations per year

Countries citing papers authored by Line Raaby

Since Specialization
Citations

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

Fields of papers citing papers by Line Raaby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201592
2 201751
3 201642
4 201137
5 201336
6 201532
7 201615
8 201615
9 201714
10 20137
11 20106
12 20094
13 20251
14 20231
15 20240
16 20250
17 20240

About Line Raaby

Line Raaby is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Pharmacology, having authored 17 papers that have together received 353 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (6 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), S100 Proteins and Annexins (1 paper), Inflammatory mediators and NSAID effects (1 paper), 14-3-3 protein interactions (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Dermatology (102 citations), Immunology (201 citations), Immunology and Allergy (27 citations), Complementary and Manual Therapy (6 citations) and Rheumatology (34 citations). Line Raaby has collaborated with scholars based in Denmark, Norway and United States. Frequent co-authors include Lars Iversen, Claus Johansen, Annette de Thurah, Ole Ahlehoff, Kasper Fjellhaugen Hjuler, Knud Kragballe, Morten Bøttcher, Hans Erik Bøtker, Mette Deleuran and Christian Vestergaard. Their work appears in journals such as Experimental Dermatology, British Journal of Dermatology, Molecular Oncology, Frontiers in Oncology and Prenatal Diagnosis.

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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