Hannah Labinsky

568 citations
33 papers · 350 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Rheumatology top 10%
    • Rheumatoid Arthritis Research and Therapies
    • Spondyloarthritis Studies and Treatments
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Spondyloarthritis Studies and Treatments 9
    • Rheumatoid Arthritis Research and Therapies 6
    • Autoimmune and Inflammatory Disorders Research 4

Hannah Labinsky

30 papers receiving 348 citations

Peers

Hannah Labinsky
Comparison fields: 5 of 54
  • Health Informatics 17
  • Rheumatology 140
  • Family Practice 7
  • Rehabilitation 16
  • Health 15
Replace Polina Pchelnikova with:
Polina Pchelnikova United Kingdom
Trine Bay Laurberg Denmark
Tate M. Johnson United States
María H Esteva-Spinetti Argentina
Boryana Boteva Netherlands
Sabrina Meyfroidt Belgium
Sivem Afach France
Éric Senbel France
Jacqueline R. Chipping United Kingdom
Tuomas Rannio Finland
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Citations per field
00.5×2×4×6×8.5×
Polina Pchelnikova · 1×
Citations per year

Countries citing papers authored by Hannah Labinsky

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Labinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
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2 202239
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4 201929
5 202322
6 202221
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10 202211
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About Hannah Labinsky

Hannah Labinsky is a scholar working on Rheumatology, Hematology, Immunology, Pathology and Forensic Medicine and Physiology, having authored 33 papers that have together received 350 indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (9 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Systemic Sclerosis and Related Diseases (3 papers), Asthma and respiratory diseases (2 papers), Immune cells in cancer (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Health Informatics (17 citations), Rheumatology (140 citations), Family Practice (7 citations), Rehabilitation (16 citations) and Health (15 citations). Hannah Labinsky has collaborated with scholars based in Germany, France and Italy. Frequent co-authors include Johannes Knitza, Georg Andreas Schett, Maria Gabriella Raimondo, Latika Gupta, Felix Muehlensiepen, Harriet Morf, Martin Heinze, Nicolas Vuillerme, Sebastian B. Kuhn and Andreas Ramming. Their work appears in journals such as Annals of the Rheumatic Diseases, Nature Immunology, Arthritis Research & Therapy, BMC Health Services Research and Rheumatology International.

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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