Fabien Gaire

3.2k total citations
11 papers, 200 citations indexed

About

Fabien Gaire is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Fabien Gaire has authored 11 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Fabien Gaire's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Fabien Gaire is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Fabien Gaire collaborates with scholars based in Germany, Switzerland and United States. Fabien Gaire's co-authors include Murry W. Wynes, Fred R. Hirsch, Beatrice Hauss‐Wegrzyniak, Masafumi Kurosumi, James Pettay, Margaret Loftus, Thomas M. Grogan, Konstanty Korski, Raymond R. Tubbs and Lin Wang and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Fabien Gaire

10 papers receiving 196 citations

Peers

Fabien Gaire

ONCOL

PRM

RNMI

Dina Sakaeva Russia

Jürgen Wolf Germany

Donna C. Ferguson United States

Zorka Inić Serbia

Per Sandström Sweden

Fatma Althoubaity Saudi Arabia

Stephanie P.L. Saw Singapore

Grégoire Marret France

Zhangzhou Huang China

Dina Sakaeva Russia

Fabien Gaire

165 ×1.2

ONCOL

96 ×1.1

88 ×1.6

PRM

32 ×0.7

RNMI

48 ×1.3

Citations per year, relative to Fabien Gaire Fabien Gaire (= 1×) peers Dina Sakaeva

Countries citing papers authored by Fabien Gaire

Since Specialization

Citations

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

Fields of papers citing papers by Fabien Gaire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Gaire

This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Gaire. A scholar is included among the top collaborators of Fabien Gaire based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabien Gaire. Fabien Gaire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Brennan, Laura, Jurriaan Brouwer‐Visser, Eveline Nüesch, et al.. (2022). T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis. Frontiers in Immunology. 13. 760763–760763. 2 indexed citations

Abbasi-Sureshjani, Samaneh, et al.. (2021). Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone. 1–9. 2 indexed citations

Failmezger, Henrik, Chia-Huey Ooi, Derrek P. Hibar, et al.. (2020). Analysis of Spatial Organization of Suppressive Myeloid Cells and Effector T Cells in Colorectal Cancer—A Potential Tool for Discovering Prognostic Biomarkers in Clinical Research. Frontiers in Immunology. 11. 550250–550250. 18 indexed citations

Gaire, Fabien, et al.. (2020). 1381P Spatial-statistics-based modeling for predicting treatment response in non-small cell lung cancer (NSCLC) patients using H&E pathology images. Annals of Oncology. 31. S879–S879. 1 indexed citations

Korski, Konstanty, et al.. (2019). Prediction of biomarker status, diagnosis and outcome from histology slides using deep learning-based hypothesis free feature extraction.. Journal of Clinical Oncology. 37(15_suppl). 3140–3140. 2 indexed citations

Schwen, Lars Ole, Emilia Andersson, Konstanty Korski, et al.. (2018). Data-Driven Discovery of Immune Contexture Biomarkers. Frontiers in Oncology. 8. 627–627. 20 indexed citations

Cañamero, Marta, Konstanty Korski, Oliver Grimm, et al.. (2016). Abstract B47: Unraveling tumor metabolism with in silico IHC multiplexing supported by automated imaging analysis. Molecular Cancer Research. 14(1_Supplement). B47–B47. 1 indexed citations

Mascaux, Céline, Murry W. Wynes, Yasufumi Kato, et al.. (2011). EGFR Protein Expression in Non–Small Cell Lung Cancer Predicts Response to an EGFR Tyrosine Kinase Inhibitor—A Novel Antibody for Immunohistochemistry or AQUA Technology. Clinical Cancer Research. 17(24). 7796–7807. 29 indexed citations

Badzio, A., Murry W. Wynes, Rafał Dziadziuszko, et al.. (2010). Increased Insulin-Like Growth Factor 1 Receptor Protein Expression and Gene Copy Number in Small Cell Lung Cancer. Journal of Thoracic Oncology. 5(12). 1905–1911. 47 indexed citations

10.

Nitta, Hiroaki, Beatrice Hauss‐Wegrzyniak, Fabien Gaire, et al.. (2008). Development of automated brightfield double In Situ hybridization (BDISH) application for HER2 gene and chromosome 17 centromere (CEN 17) for breast carcinomas and an assay performance comparison to manual dual color HER2 fluorescence In Situ hybridization (FISH). Diagnostic Pathology. 3(1). 41–41. 76 indexed citations

11.

Nitta, Hiroaki, Beatrice Hauss‐Wegrzyniak, Fabien Gaire, et al.. (2008). Development of automated brightfield HER2 and chromosome 17 centromere (CEN17) double in situ hybridization application for breast carcinomas and its performance comparison to manual HER2 fluorescence in situ hybridization (FISH). Journal of Clinical Oncology. 26(15_suppl). 11080–11080. 2 indexed citations

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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