Rosa Ten

1.8k citations
28 papers · 1.5k indexed · 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 5
    • Immune Response and Inflammation 4
    • Invertebrate Immune Response Mechanisms 3
    • T-cell and B-cell Immunology 3
    • NF-κB Signaling Pathways 8

Rosa Ten

27 papers receiving 1.5k citations

Peers

Rosa Ten
Comparison fields: 5 of 96
  • Immunology 741
  • Cancer Research 306
  • Microbiology 105
  • Immunology and Allergy 99
  • Virology 62
Replace S de Kossodo with:
S de Kossodo Switzerland
D Henriksen-DeStefano United States
V. Laine Finland
Elena Riboldi Italy
Sally T. Ishizaka United States
Gaëtane Woerly Switzerland
Olivier Gasser New Zealand
P Peveri Switzerland
Wook Lew South Korea
Ke-Jian Lei United States
Rosa Ten relative to S de Kossodo Switzerland S de Kossodo's profile →
Citations per field
00.5×
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-authorship network

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
#Work
1 20177
2 200683
3 200236
4 20011
5 199942
6 199922
7 199921
8 199964
9 19998
10 199814
11
Functional Role for Syk Tyrosine Kinase in Natural Killer Cell–mediated Natural Cytotoxicity
19970
12 199524
13 199112
14 199154
15 1991126
16 199087
17 1989172
18 198933
19 1989108
20 198861

About Rosa Ten

Rosa Ten is a scholar working on Immunology, Cancer Research, Microbiology, Rheumatology and Hepatology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Immune Cell Function and Interaction (5 papers), Asthma and respiratory diseases (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Immune Response and Inflammation (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Antimicrobial Peptides and Activities (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (741 citations), Cancer Research (306 citations), Microbiology (105 citations), Immunology and Allergy (99 citations) and Virology (62 citations). Rosa Ten has collaborated with scholars based in United States, France and Tanzania. Frequent co-authors include Gerald J. Gleich, Larry R. Pease, Alain Israël, C. V. Paya, O. Le Bail, Nicole Israël, Philippe Kourilsky, D J McKean, M P Bell and Marie‐Geneviève Mattéi. Their work appears in journals such as Mayo Clinic Proceedings, Journal of Allergy and Clinical Immunology, The Journal of Experimental Medicine, Annals of Allergy Asthma & Immunology and The Journal of Immunology.

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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