Aurelie Susini

984 citations
16 papers · 811 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Breast Cancer Treatment Studies 2
    • MicroRNA in disease regulation 2
    • Glioma Diagnosis and Treatment 2

Aurelie Susini

16 papers receiving 789 citations

Peers

Aurelie Susini
Comparison fields: 5 of 44
  • Cancer Research 231
  • Genetics 75
  • Oncology 55
  • Molecular Biology 139
  • Developmental Neuroscience 6
Replace Tara Spence with:
Tara Spence Canada
Soumya Luthra United States
Nichole L. Prescott United States
Zhi‐Jun Pei China
Yuanke Liang China
Qiang Han China
Ruixue Tang China
Gai‐Xia Lu China
Aibing Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Aurelie Susini

Since Specialization
Citations

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

Fields of papers citing papers by Aurelie Susini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012155
2 2012153
3 2013103
4 201365
5 201263
6 201057
7 201157
8 198642
9 201227
10 201226
11 201326
12 201122
13 20089
14 20153
15 20062
16 20071

About Aurelie Susini

Aurelie Susini is a scholar working on Cancer Research, Genetics, Radiology, Nuclear Medicine and Imaging, Oncology and Ophthalmology, having authored 16 papers that have together received 811 indexed citations. Recurring topics across this work include Retinal and Macular Surgery (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Glioma Diagnosis and Treatment (2 papers), Breast Cancer Treatment Studies (2 papers), MicroRNA in disease regulation (2 papers), Traumatic Ocular and Foreign Body Injuries (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Cancer Research (231 citations), Genetics (75 citations), Oncology (55 citations), Molecular Biology (139 citations) and Developmental Neuroscience (6 citations). Aurelie Susini has collaborated with scholars based in France, Czechia and Sudan. Frequent co-authors include Ivan Bièche, Sophie Vacher, Rosette Lidereau, Géraldine Cizeron-Clairac, Magdalena Čížková, Catherine Andrieu, Keltouma Driouch, Frédérique Spyratos, Emmanuelle Fourme and Céline Callens. Their work appears in journals such as International Journal of Cancer, PLoS ONE, Genes & Cancer, BMC Cancer and Breast Cancer Research.

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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