Yoann Pradat

895 citations
8 papers · 587 · 1 hit paper · h-index 6

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology

Papers in

Yoann Pradat

8 papers receiving 577 citations

Yoann Pradat's Hit Papers

Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial 2023 · 294 citations
2940+1+2Years since publication50100150200250

Peers

Yoann Pradat
Comparison fields: 5 of 44
  • Hematology 117
  • Oncology 249
  • Cancer Research 88
  • Genetics 54
  • Radiology, Nuclear Medicine and Imaging 101
Replace Christine Hanoun with:
Christine Hanoun Germany
Aneta Schieferdecker Germany
Dilara Akhoundova Switzerland
Sanna Hulkki Wilson United Kingdom
Hilka Rauert‐Wunderlich Germany
David M. Ellison United States
Frank Ziemann Germany
Elżbieta Iskierka‐Jazdzewska Poland
Günther Schlimok Germany
Sylvia Snauwaert Belgium
Yoann Pradat relative to Christine Hanoun Germany Christine Hanoun's profile →
Citations per field
00.5×1.6×
Christine Hanoun · 1×
Citations per year

Countries citing papers authored by Yoann Pradat

Since Specialization
Citations

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

Fields of papers citing papers by Yoann Pradat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Yoann Pradat, 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 Yoann Pradat Line = papers co-authored together Yoann Pradat links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial
Hit paper breakdown →
2023294
2 2022132
3 202358
4 202356
5 202335
6 20259
7 20252
8 20261

About Yoann Pradat

Yoann Pradat is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Hematology and Cancer Research, having authored 8 papers that have together received 587 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Treatments and Mutations (1 paper), Gene expression and cancer classification (1 paper), Machine Learning in Bioinformatics (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hematology (117 citations), Oncology (249 citations), Cancer Research (88 citations), Genetics (54 citations) and Radiology, Nuclear Medicine and Imaging (101 citations). Yoann Pradat has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Paul-Henry Cournède and Stefan Michiels. Their work appears in journals such as Cancer Discovery, Nature Medicine, PLoS Computational Biology, Nature Communications and Cancer Cell.

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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