Anna Nosko

564 citations
10 papers · 408 · h-index 8

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Psoriasis: Treatment and Pathogenesis
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • T-cell and B-cell Immunology 4
    • IL-33, ST2, and ILC Pathways 2
    • Reproductive System and Pregnancy 2
    • Psoriasis: Treatment and Pathogenesis 2
    • Immune Cell Function and Interaction 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Cytokine Signaling Pathways and Interactions 4

Anna Nosko

10 papers receiving 408 citations

Peers

Anna Nosko
Comparison fields: 5 of 68
  • Immunology 272
  • Nephrology 44
  • Rheumatology 54
  • Oncology 69
  • Transplantation 6
Replace Mathieu Bohm with:
Mathieu Bohm United States
Sara Sprangers Netherlands
Jianxun Feng China
Rhian Goodfellow United Kingdom
Linlin Xu China
Anett Mázló Hungary
Esther Zumaquero United States
Imène Melki Canada
Fabrice Licata France
Chase A. Pagani United States
Anna Nosko relative to Mathieu Bohm United States Mathieu Bohm's profile →
Citations per field
00.5×10×20×31×
Mathieu Bohm · 1×
Citations per year

Countries citing papers authored by Anna Nosko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Nosko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201572
2 201572
3 201549
4 201547
5 201645
6 201843
7 201638
8 201937
9 20233
10 20252

About Anna Nosko

Anna Nosko is a scholar working on Immunology, Oncology, Rheumatology, Surgery and Nephrology, having authored 10 papers that have together received 408 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), T-cell and B-cell Immunology (4 papers), Systemic Lupus Erythematosus Research (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Reproductive System and Pregnancy (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Immune Cell Function and Interaction (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Immunology (272 citations), Nephrology (44 citations), Rheumatology (54 citations), Oncology (69 citations) and Transplantation (6 citations). Anna Nosko has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Oliver M. Steinmetz, Rolf A.K. Stahl, Malte A. Kluger, Claudia Wegscheid, Gisa Tiegs, Ulf Panzer, Hans‐Willi Mittrücker, Jürgen Scheller, Isabell Yan and Birgit Andrée. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, Clinical & Experimental Immunology, Acta Biomaterialia and European Journal of Heart Failure.

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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