Rosa Ten

1.8k citations
28 papers · 1.5k · h-index 20

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 4
    • Invertebrate Immune Response Mechanisms 3
    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 2
    • NF-κB Signaling Pathways 7

Rosa Ten

27 papers receiving 1.4k citations

Peers

Rosa Ten
Comparison fields: 5 of 95
  • Immunology 694
  • Cancer Research 304
  • Microbiology 89
  • Virology 61
  • Immunology and Allergy 70
Replace S de Kossodo with:
S de Kossodo Switzerland
Mirko Ritter Germany
D Henriksen-DeStefano United States
Elena Riboldi Italy
V. Laine Finland
Sally T. Ishizaka United States
Olivier Gasser New Zealand
B Moffat United States
Jesús Merino Spain
Gaëtane Woerly France
Rosa Ten relative to S de Kossodo Switzerland S de Kossodo's profile →
Citations per field
00.5×2.7×
S de Kossodo · 1×
Citations per year

Countries citing papers authored by Rosa Ten

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Ten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992224
2 1989172
3 1997130
4 1991126
5 1989108
6 199087
7 200684
8 199964
9 198861
10 199253
11 199552
12 199942
13 200236
14 198933
15 199028
16
The signal transduction pathway of CD23 (Fc epsilon RIIb) targets I kappa B kinase.
199926
17 199524
18 199922
19 199921
20 200921

About Rosa Ten

Rosa Ten is a scholar working on Immunology, Cancer Research, Rheumatology, Physiology and Surgery, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Immune Cell Function and Interaction (4 papers), Asthma and respiratory diseases (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Antimicrobial Peptides and Activities (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Immune Response and Inflammation (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (694 citations), Cancer Research (304 citations), Microbiology (89 citations), Virology (61 citations) and Immunology and Allergy (70 citations). Rosa Ten has collaborated with scholars based in United States, France and Tanzania. Frequent co-authors include Larry R. Pease, Gerald J. Gleich, Alain Israël, C. V. Paya, O. Le Bail, Nicole Israël, Philippe Kourilsky, M P Bell, D J McKean and Marie‐Geneviève Mattéi. Their work appears in journals such as Mayo Clinic Proceedings, Annals of Allergy Asthma & Immunology, Journal of Allergy and Clinical Immunology, The EMBO Journal and Gastroenterology.

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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