S. Ménard

853 total citations
10 papers, 697 citations indexed

About

S. Ménard is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Ménard has authored 10 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Ménard's work include Medical Imaging Techniques and Applications (3 papers), Immune Response and Inflammation (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). S. Ménard is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Immune Response and Inflammation (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). S. Ménard collaborates with scholars based in Canada, United Kingdom and Italy. S. Ménard's co-authors include Francesco Pezzella, Gabriella Sozzi, Salvatore Andreola, Ugo Pastorino, Marc Buyse, Elda Tagliabue, Marco A. Pierotti, Franco Rilke, Marco Incarbone and Stephen B. Fox and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Vaccine.

In The Last Decade

S. Ménard

10 papers receiving 673 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Ménard Canada 7 368 285 243 208 104 10 697
Hanli Fan United States 12 318 0.9× 320 1.1× 195 0.8× 243 1.2× 99 1.0× 16 931
John Skarlatos Greece 12 238 0.6× 337 1.2× 237 1.0× 259 1.2× 93 0.9× 20 826
Mao-Bin Meng China 13 169 0.5× 255 0.9× 261 1.1× 122 0.6× 73 0.7× 17 628
T Kobayashi Japan 10 532 1.4× 151 0.5× 240 1.0× 74 0.4× 76 0.7× 27 890
Heike Zieher Germany 4 270 0.7× 128 0.4× 116 0.5× 141 0.7× 96 0.9× 6 496
Shuhua Wei China 12 347 0.9× 195 0.7× 443 1.8× 157 0.8× 64 0.6× 21 1.1k
Masanori Someya Japan 18 277 0.8× 229 0.8× 348 1.4× 149 0.7× 140 1.3× 70 902
Chang Shu Wang Canada 12 139 0.4× 173 0.6× 241 1.0× 146 0.7× 47 0.5× 15 565
Feifei Na China 14 210 0.6× 224 0.8× 166 0.7× 111 0.5× 124 1.2× 33 618
Virpi Rantanen Finland 14 283 0.8× 118 0.4× 411 1.7× 149 0.7× 109 1.0× 33 736

Countries citing papers authored by S. Ménard

Since Specialization
Citations

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

Fields of papers citing papers by S. Ménard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ménard

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

All Works

10 of 10 papers shown
1.
Casalini, Patrizia, et al.. (2011). Breast tumors: an overview. Atlas of Genetics and Cytogenetics in Oncology and Haematology. 2 indexed citations
2.
Dević, Slobodan, Nada Tomic, Sergio Faria, et al.. (2010). Defining Radiotherapy Target Volumes Using 18F-Fluoro-Deoxy-Glucose Positron Emission Tomography/Computed Tomography: Still a Pandora's Box?. International Journal of Radiation Oncology*Biology*Physics. 78(5). 1555–1562. 29 indexed citations
3.
Faria, Sergio, S. Ménard, Slobodan Dević, et al.. (2007). B5-02: Radiotherapy volume delineation with PET in lung cancer may be less useful than foreseen. Journal of Thoracic Oncology. 2(8). S347–S347. 1 indexed citations
4.
Faria, Sergio, S. Ménard, Slobodan Dević, et al.. (2007). Impact of FDG-PET/CT on Radiotherapy Volume Delineation in Non–Small-Cell Lung Cancer and Correlation of Imaging Stage With Pathologic Findings. International Journal of Radiation Oncology*Biology*Physics. 70(4). 1035–1038. 50 indexed citations
5.
Filion, Mario, et al.. (2004). Development of immunomodulatory six base-length non-CpG motif oligonucleotides for cancer vaccination. Vaccine. 22(19). 2480–2488. 5 indexed citations
6.
Ménard, S., et al.. (2001). Pro‐apoptotic and immunomodulatory activity of a mycobacterial cell wall‐DNA complex towards LNCaP prostate cancer cells. The Prostate. 49(3). 155–165. 10 indexed citations
7.
Filion, Mario, et al.. (2000). Modulation of interleukin-12 synthesis by DNA lacking the CpG motif and present in a mycobacterial cell wall complex. Cancer Immunology Immunotherapy. 49(6). 325–334. 27 indexed citations
8.
Pezzella, Francesco, Ugo Pastorino, Elda Tagliabue, et al.. (1997). Non-small-cell lung carcinoma tumor growth without morphological evidence of neo-angiogenesis.. PubMed. 151(5). 1417–23. 262 indexed citations
9.
Pastorino, Ugo, Salvatore Andreola, Elda Tagliabue, et al.. (1997). Immunocytochemical markers in stage I lung cancer: relevance to prognosis.. Journal of Clinical Oncology. 15(8). 2858–2865. 259 indexed citations
10.
Morelli, Daniele, S. Ménard, Maria I. Colnaghi, & Andrea Balsari. (1996). Oral administration of anti-doxorubicin monoclonal antibody prevents chemotherapy-induced gastrointestinal toxicity in mice.. PubMed. 56(9). 2082–5. 52 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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