Romain Appay

1.5k citations
52 papers · 751 · h-index 14

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neuroblastoma Research and Treatments
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Glioma Diagnosis and Treatment 26
    • Neurofibromatosis and Schwannoma Cases 4
    • Neuroblastoma Research and Treatments 3

Romain Appay

49 papers receiving 748 citations

Peers

Romain Appay
Comparison fields: 5 of 58
  • Genetics 443
  • Neurology 146
  • Cancer Research 105
  • Pulmonary and Respiratory Medicine 123
  • Epidemiology 122
Replace Lindsey M. Hoffman with:
Lindsey M. Hoffman United States
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Peter Baumgarten Germany
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John‐Paul Kilday United Kingdom
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Romain Appay relative to Lindsey M. Hoffman United States Lindsey M. Hoffman's profile →
Citations per field
00.5×1.5×1.8×
Lindsey M. Hoffman · 1×
Citations per year

Countries citing papers authored by Romain Appay

Since Specialization
Citations

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

Fields of papers citing papers by Romain Appay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019180
2 201990
3 202145
4 201739
5 201830
6 201929
7 201829
8 201926
9 202025
10 202224
11 202021
12 202116
13 202115
14 201814
15 202013
16 202211
17 201911
18 201910
19 20239
20 20209

About Romain Appay

Romain Appay is a scholar working on Genetics, Neurology, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 751 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Meningioma and schwannoma management (9 papers), Sarcoma Diagnosis and Treatment (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Brain Metastases and Treatment (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Genetics (443 citations), Neurology (146 citations), Cancer Research (105 citations), Pulmonary and Respiratory Medicine (123 citations) and Epidemiology (122 citations). Romain Appay has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Dominique Figarella‐Branger, Carole Colin, Émeline Tabouret, Karima Mokhtari, Caroline Dehais, Alain Carpentier, Emmanuelle Uro‐Coste, François Ducray, Aurélie Kamoun and Agustí Alentorn. Their work appears in journals such as Brain Pathology, Cancers, Neuro-Oncology, Frontiers in Oncology and Pituitary.

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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