Inès Mottas

437 citations
10 papers · 377 · h-index 10

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 4
    • RNA Interference and Gene Delivery 3
    • Extracellular vesicles in disease 1

Inès Mottas

10 papers receiving 374 citations

Peers

Inès Mottas
Comparison fields: 5 of 61
  • Immunology 211
  • Biomaterials 107
  • Pharmaceutical Science 16
  • Oncology 60
  • Biomedical Engineering 108
Replace Lu Diao with:
Lu Diao China
Liwen Song China
Tam Nguyen United States
Se−Na Kim South Korea
Yina Wu South Korea
Gregory P. Howard United States
Michelle K. Greene United Kingdom
Zongjin Yang China
Meilyn Sylvestre United States
Chanyoung Song South Korea
Inès Mottas relative to Lu Diao China Lu Diao's profile →
Citations per field
00.5×10×14×
Lu Diao · 1×
Citations per year

Countries citing papers authored by Inès Mottas

Since Specialization
Citations

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

Fields of papers citing papers by Inès Mottas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201672
2 201854
3 201752
4 201851
5 201933
6 201931
7 201630
8 201626
9 201718
10 202110

About Inès Mottas

Inès Mottas is a scholar working on Immunology, Molecular Biology, Materials Chemistry, Oncology and Clinical Biochemistry, having authored 10 papers that have together received 377 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers), RNA Interference and Gene Delivery (3 papers), Nanoparticles: synthesis and applications (2 papers), Extracellular vesicles in disease (1 paper), Advanced Glycation End Products research (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Immunology (211 citations), Biomaterials (107 citations), Pharmaceutical Science (16 citations), Oncology (60 citations) and Biomedical Engineering (108 citations). Inès Mottas has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Carole Bourquin, Lorenzo Spagnuolo, C. Hotz, Thibaud Spinetti, Éric Allémann, Florence Delié, Curzio Rüegg, Chiara Secondini, Alke Petri‐Fink and Ana Milošević. Their work appears in journals such as Biomaterials, OncoImmunology, Nanomedicine Nanotechnology Biology and Medicine, ACS Nano and European 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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