Amanda Poissonnier

732 total citations · 1 hit paper
7 papers, 516 citations indexed

About

Amanda Poissonnier is a scholar working on Molecular Biology, Immunology and Allergy and Oncology. According to data from OpenAlex, Amanda Poissonnier has authored 7 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and Allergy and 3 papers in Oncology. Recurrent topics in Amanda Poissonnier's work include Cell Adhesion Molecules Research (4 papers), Cell death mechanisms and regulation (3 papers) and Immune Response and Inflammation (2 papers). Amanda Poissonnier is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Cell death mechanisms and regulation (3 papers) and Immune Response and Inflammation (2 papers). Amanda Poissonnier collaborates with scholars based in France, United States and Switzerland. Amanda Poissonnier's co-authors include Gino B. Ferraro, Lisa M. Coussens, Chiara Cianciaruso, Michele De Palma, Jeffrey W. Pollard, Ioanna Keklikoglou, M. Luisa Iruela‐Arispe, Aditya Bardia, Rakesh K. Jain and Caroline Baer and has published in prestigious journals such as Nature Cell Biology, Frontiers in Immunology and Nature Chemical Biology.

In The Last Decade

Amanda Poissonnier

7 papers receiving 509 citations

Hit Papers

Chemotherapy elicits pro-metastatic extracellular vesicle... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models
    2018 414 citations Ioanna Keklikoglou, Chiara Cianciaruso et al. Nature Cell Biology profile →

Peers

Amanda Poissonnier
Qingyuan Zhang China
Chongkui Sun China
Karolina Weiner‐Gorzel Ireland
Xinhan Zhao China
Dorcas A. Annan Japan
Fee Bengsch Germany
Boyao Yu China
Paul Kurywchak United States
Zhiyan Zhu China
Dylan Ferreira Portugal
Qingyuan Zhang China
Amanda Poissonnier
Citations per year, relative to Amanda Poissonnier Amanda Poissonnier (= 1×) peers Qingyuan Zhang

Countries citing papers authored by Amanda Poissonnier

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Poissonnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Poissonnier

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Poissonnier. A scholar is included among the top collaborators of Amanda Poissonnier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amanda Poissonnier. Amanda Poissonnier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Nguyen, Ha Thanh, Jean‐Philippe Guégan, Amanda Poissonnier, et al.. (2019). Synthesis of peptidomimetics and chemo-biological tools for CD95/PLCγ1 interaction analysis. Bioorganic & Medicinal Chemistry Letters. 29(16). 2094–2099. 2 indexed citations
2.
Keklikoglou, Ioanna, Chiara Cianciaruso, Esra Güç, et al.. (2018). Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models. Nature Cell Biology. 21(2). 190–202. 414 indexed citations breakdown →
3.
Poissonnier, Amanda, Jean‐Philippe Guégan, Ha Thanh Nguyen, et al.. (2018). Disrupting the CD95–PLCγ1 interaction prevents Th17-driven inflammation. Nature Chemical Biology. 14(12). 1079–1089. 25 indexed citations
4.
Gallo, Matthieu Le, Thibault De La Motte Rouge, Amanda Poissonnier, et al.. (2018). Tumor analysis: freeze–thawing cycle of triple-negative breast cancer cells alters tumor CD24/CD44 profiles and the percentage of tumor-infiltrating immune cells. BMC Research Notes. 11(1). 401–401. 5 indexed citations
5.
Poissonnier, Amanda & Patrick Legembre. (2017). Boyden Chamber Assay to Study of Cell Migration Induced by Metalloprotease Cleaved-CD95L. Methods in molecular biology. 1557. 117–123. 1 indexed citations
6.
Gallo, Matthieu Le, Amanda Poissonnier, Patrick Blanco, & Patrick Legembre. (2017). CD95/Fas, Non-Apoptotic Signaling Pathways, and Kinases. Frontiers in Immunology. 8. 1216–1216. 60 indexed citations
7.
Poissonnier, Amanda, et al.. (2014). Reversion of apoptotic resistance of TP53-mutated Burkitt lymphoma B-cells to spindle poisons by exogenous activation of JNK and p38 MAP kinases. Cell Death and Disease. 5(5). e1201–e1201. 9 indexed citations

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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