Martial Guillaud

2.0k total citations
107 papers, 1.5k citations indexed

About

Martial Guillaud is a scholar working on Epidemiology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Martial Guillaud has authored 107 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 28 papers in Artificial Intelligence and 27 papers in Molecular Biology. Recurrent topics in Martial Guillaud's work include Cervical Cancer and HPV Research (28 papers), AI in cancer detection (27 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Martial Guillaud is often cited by papers focused on Cervical Cancer and HPV Research (28 papers), AI in cancer detection (27 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Martial Guillaud collaborates with scholars based in Canada, United States and United Kingdom. Martial Guillaud's co-authors include Calum MacAulay, Michele Follen, Anaís Malpica, Rebecca Richards‐Kortum, Catherine F. Poh, Dirk van Niekerk, Dennis D. Cox, Jasenka Matisic, Karen Adler‐Storthz and Iouri Boiko and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Martial Guillaud

102 papers receiving 1.4k citations

Peers

Martial Guillaud
Michael J. Thrall United States
Jeffrey D. Wagner United States
Paul Tadrous United Kingdom
Keith J. Kaplan United States
Agnes G. Loeffler United States
Michael J. Thrall United States
Martial Guillaud
Citations per year, relative to Martial Guillaud Martial Guillaud (= 1×) peers Michael J. Thrall

Countries citing papers authored by Martial Guillaud

Since Specialization
Citations

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

Fields of papers citing papers by Martial Guillaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martial Guillaud

This figure shows the co-authorship network connecting the top 25 collaborators of Martial Guillaud. A scholar is included among the top collaborators of Martial Guillaud 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 Martial Guillaud. Martial Guillaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amirian, E. Susan, et al.. (2023). Polymorphisms in the Nonhomologous End-joining DNA Repair Pathway are Associated with HPV Integration in Cervical Dysplasia. Cancer Prevention Research. 16(8). 461–469. 1 indexed citations
2.
Towle, Rebecca, Christopher Td Dickman, Jiahua Chen, et al.. (2023). Identification of a serum-based microRNA signature that detects recurrent oral squamous cell carcinoma before it is clinically evident. British Journal of Cancer. 129(11). 1810–1817. 7 indexed citations
3.
Hu, Amanda, Linda Rammage, Martial Guillaud, & Tanya K. Meyer. (2022). Improvement in Work Productivity After Group Voice Therapy in Professional Voice Users. Journal of Voice. 38(5). 1095–1102.
4.
Laronde, Denise M., et al.. (2021). Predicting Progression of Low-Grade Oral Dysplasia Using Brushing-Based DNA Ploidy and Chromatin Organization Analysis. Cancer Prevention Research. 14(12). 1111–1118. 6 indexed citations
5.
Harrison, Alan, et al.. (2020). An improved algorithm using a Health Canada‐approved DNA‐image cytometry system for non‐invasive screening of high‐grade oral lesions. Journal of Oral Pathology and Medicine. 50(5). 502–509. 10 indexed citations
6.
Keyes, Mira, et al.. (2020). Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence. Investigative and Clinical Urology. 61(5). 482–482. 2 indexed citations
7.
MacAulay, Calum, et al.. (2018). P3.09-11 Genomic Organization at Large Scales (GOALS) within Nuclei and Cell Sociology for Predicting Lung Cancer Outcomes. Journal of Thoracic Oncology. 13(10). S952–S952. 1 indexed citations
8.
Enfield, Katey S.S., Sonia H.Y. Kung, Paul Gallagher, et al.. (2017). P2.01-065 Quantification of Tumor-Immune Cell Spatial Relationships in the Lung Tumor Microenvironment Using Single Cell Profiling. Journal of Thoracic Oncology. 12(1). S826–S827. 2 indexed citations
9.
Guillaud, Martial, Qian Ye, Sam Leung, et al.. (2017). Large-scale DNA organization is a prognostic marker of breast cancer survival. Medical Oncology. 35(1). 9–9. 3 indexed citations
10.
Ward, Rabab, Zhaoyang Chen, Dirk van Niekerk, et al.. (2015). Confocal fluorescence microscopy for detection of cervical preneoplastic lesions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9420. 942009–942009. 3 indexed citations
11.
Ward, Rabab, Dirk van Niekerk, Dianne Miller, et al.. (2015). Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia. BioMedical Engineering OnLine. 14(1). 96–96. 23 indexed citations
12.
Khojasteh, Mehrnoush, Timon P.H. Buys, Jean LeRiche, et al.. (2012). A framework for quantitative assessment of Ki67 distribution in preneoplastic bronchial epithelial lesions.. PubMed. 34(3). 120–38. 3 indexed citations
13.
MacAulay, Calum, Catherine F. Poh, Martial Guillaud, et al.. (2012). High throughput image cytometry for detection of suspicious lesions in the oral cavity. Journal of Biomedical Optics. 17(8). 860041–860041. 14 indexed citations
14.
Yamal, José‐Miguel, Michele Follen, Martial Guillaud, & Dennis D. Cox. (2011). Classifying tissue samples from measurements on cells with within-class tissue sample heterogeneity. Biostatistics. 12(4). 695–709. 4 indexed citations
15.
Malpica, Anaís, Jasenka Matisic, Christopher P. Crum, et al.. (2005). Kappa statistics to measure interrater and intrarater agreement for 1790 cervical biopsy specimens among twelve pathologists: Qualitative histopathologic analysis and methodologic issues. Gynecologic Oncology. 99(3). S38–S52. 72 indexed citations
16.
Yamal, José-Miguel, Dennis D. Cox, Walter N. Hittelman, et al.. (2004). Quantitative histopathology and chromosome 9 polysomy in a clinical trial of 4-HPR. Gynecologic Oncology. 94(2). 296–306. 2 indexed citations
17.
Guillaud, Martial, Andy Coldman, Ignacio I. Wistuba, et al.. (2004). Nuclear morphometry as a biomarker for bronchial intraepithelial neoplasia: Correlation with genetic damage and cancer development. Cytometry Part A. 63A(1). 34–40. 21 indexed citations
18.
Chiu, David, Martial Guillaud, Dennis D. Cox, Michele Follen, & Calum MacAulay. (2004). Quality Assurance System Using Statistical Process Control: An Implementation for Image Cytometry. Analytical Cellular Pathology. 26(3). 101–117. 20 indexed citations
19.
Guillaud, Martial, et al.. (1995). Malignancy associated changes in cervical smears: systematic changes in cytometric features with the grade of dysplasia.. PubMed. 9(3). 191–204. 23 indexed citations
20.
Guillaud, Martial & Jean‐Marc Chassery. (1991). Histogram analysis by use of L-moments, linear functions of order statistics. French digital mathematics library (Numdam). 16(3). 85–106. 1 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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