Raphaël Saffroy

2.9k citations
80 papers · 1.9k · h-index 27

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Epigenetics and DNA Methylation 5
    • Cancer-related Molecular Pathways 7
    • Colorectal Cancer Treatments and Studies 6

Raphaël Saffroy

72 papers receiving 1.8k citations

Peers

Raphaël Saffroy
Comparison fields: 5 of 97
  • Hepatology 214
  • Genetics 240
  • Cancer Research 232
  • Oncology 384
  • Hematology 156
Replace Kaı̈ss Lassoued with:
Kaı̈ss Lassoued France
Krish Patel United States
Dominik Rüttinger Germany
Tadao Manabe Japan
Thea Kalebic United States
Tamotsu Kuroki Japan
Hisashi Nagahara Japan
Ralph Fritsch Germany
Yasunaru Sakuma Japan
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Citations per year

Countries citing papers authored by Raphaël Saffroy

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Saffroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012128
2 2007104
3 200583
4 201676
5 201575
6 199973
7 201564
8 200653
9 201052
10 200451
11 201849
12 201747
13 200445
14 199943
15 201743
16
Importance of the FcgammaRIIa-Arg/His-131 polymorphism in heparin-induced thrombocytopenia diagnosis.
199843
17 199543
18 201042
19 200640
20 199839

About Raphaël Saffroy

Raphaël Saffroy is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Folate and B Vitamins Research (7 papers), Cancer-related Molecular Pathways (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Hepatology (214 citations), Genetics (240 citations), Cancer Research (232 citations), Oncology (384 citations) and Hematology (156 citations). Raphaël Saffroy has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Antoinette Lemoine, Brigitte Debuire, Daniel Azoulay, Patrick Pham, Mylène Sebagh, J. HAMELIN, Francine Rendu, Christilla Bachelot‐Loza, Nelly Bosselut and Henri Bismuth. Their work appears in journals such as Oncotarget, Acta Neuropathologica Communications, Brain Pathology, British Journal of Cancer and Cancer Chemotherapy and Pharmacology.

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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