Johan Pluvy

611 citations
14 papers · 178 · h-index 6

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Treatments and Mutations
    • Ferroptosis and cancer prognosis

Papers in

    • Lung Cancer Treatments and Mutations 6
    • Lung Cancer Diagnosis and Treatment 4
    • Infection Control and Ventilation 1
    • Cancer Immunotherapy and Biomarkers 3
    • Lung Cancer Research Studies 1

Johan Pluvy

11 papers receiving 177 citations

Peers

Johan Pluvy
Comparison fields: 5 of 29
  • Oncology 99
  • Pulmonary and Respiratory Medicine 80
  • Cancer Research 31
  • Immunology 19
  • Ophthalmology 6
Replace Hiltje de Graaf with:
Hiltje de Graaf Netherlands
Charlotte Rawcliffe United Kingdom
Wei‐Sen Lam Australia
Benjamin Shum United Kingdom
Roxana Reyes Spain
Aurélie Mbeutcha France
Jonas Kuon Germany
Céline Namour France
Marcos Pedro Guedes Camandaroba Brazil
Tracy Jiezhen Loh Singapore
Johan Pluvy relative to Hiltje de Graaf Netherlands Hiltje de Graaf's profile →
Citations per field
00.5×4.9×
Hiltje de Graaf · 1×
Citations per year

Countries citing papers authored by Johan Pluvy

Since Specialization
Citations

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

Fields of papers citing papers by Johan Pluvy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019121
2 202013
3 20209
4 20178
5 20216
6
[Epidemiology of lung cancer in France and in the world].
20206
7 20195
8 20224
9 20214
10 20221
11
[Initial assessment of lung cancer].
20201
12 20240
13 20210
14 20190

About Johan Pluvy

Johan Pluvy is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 14 papers that have together received 178 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Infection Control and Ventilation (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Lung Cancer Research Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Oncology (99 citations), Pulmonary and Respiratory Medicine (80 citations), Cancer Research (31 citations), Immunology (19 citations) and Ophthalmology (6 citations). Johan Pluvy has collaborated with scholars based in France. Frequent co-authors include Solenn Brosseau, V. Gounant, Antoine Khalil, Nathalie Théou–Anton, Aurélie Cazes, Baptiste Abbar, Claire Danel, Céline Namour, Sandra Assoun and Gérard Zalcman. Their work appears in journals such as Lung Cancer, Cancers, BMC Cancer, BMC Pulmonary Medicine and ERJ Open 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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