Marick Laé

9.6k total citations · 1 hit paper
124 papers, 5.7k citations indexed

About

Marick Laé is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marick Laé has authored 124 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oncology, 41 papers in Pathology and Forensic Medicine and 41 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marick Laé's work include Sarcoma Diagnosis and Treatment (32 papers), Breast Cancer Treatment Studies (25 papers) and Breast Lesions and Carcinomas (21 papers). Marick Laé is often cited by papers focused on Sarcoma Diagnosis and Treatment (32 papers), Breast Cancer Treatment Studies (25 papers) and Breast Lesions and Carcinomas (21 papers). Marick Laé collaborates with scholars based in France, United States and Switzerland. Marick Laé's co-authors include Fabien Reyal, Peter Naylor, Thomas Walter, Marc Ladanyi, Ricardo V. Lloyd, Anne Vincent‐Salomon, Antonio G. Nascimento, Sylvie Robine, Daniel Louvard and Pedram Argani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Marick Laé

122 papers receiving 5.6k citations

Hit Papers

Segmentation of Nuclei in Histopathology Images by Deep R... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
    2018 397 citations Marick Laé, Fabien Reyal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marick Laé France 37 2.1k 2.0k 1.7k 1.3k 1.2k 124 5.7k
Gunhild Mechtersheimer Germany 41 2.4k 1.2× 2.5k 1.2× 1.8k 1.1× 896 0.7× 1.4k 1.1× 193 6.7k
Kelli Montgomery United States 43 2.4k 1.1× 2.1k 1.1× 3.3k 2.0× 1.6k 1.2× 824 0.7× 64 7.6k
Michael T. Deavers United States 65 2.1k 1.0× 3.3k 1.6× 3.2k 1.9× 1.4k 1.1× 1.5k 1.2× 226 11.5k
Christopher Poremba Germany 54 2.2k 1.0× 2.5k 1.3× 3.0k 1.8× 1.8k 1.4× 1.3k 1.1× 166 7.7k
Shigeki Sekine Japan 47 1.8k 0.9× 2.3k 1.2× 2.0k 1.2× 894 0.7× 1.1k 0.9× 188 6.2k
Gustavo Baretton Germany 46 1.9k 0.9× 3.0k 1.5× 2.5k 1.5× 1.5k 1.1× 916 0.7× 312 7.3k
Yoon Kyung Jeon South Korea 53 3.5k 1.7× 4.8k 2.4× 2.3k 1.4× 1.5k 1.1× 1.9k 1.5× 277 9.1k
Rajmohan Murali United States 51 2.2k 1.0× 4.3k 2.1× 3.1k 1.9× 1.6k 1.2× 560 0.5× 179 8.5k
Janusz Ryś Poland 30 1.5k 0.7× 1.3k 0.7× 1.0k 0.6× 809 0.6× 855 0.7× 170 4.0k
Wojciech Biernat Poland 35 1.5k 0.7× 2.4k 1.2× 1.7k 1.0× 954 0.7× 562 0.5× 275 5.3k

Countries citing papers authored by Marick Laé

Since Specialization
Citations

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

Fields of papers citing papers by Marick Laé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marick Laé

This figure shows the co-authorship network connecting the top 25 collaborators of Marick Laé. A scholar is included among the top collaborators of Marick Laé 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 Marick Laé. Marick Laé 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.
Laé, Marick, et al.. (2024). Tumeurs nasosinusiennes à translocation. Annales de Pathologie. 45(1). 43–52. 1 indexed citations
2.
Labrosse, Julie, Enora Laas, Jean-Guillaume Féron, et al.. (2021). The Presence of an In Situ Component on Pre-Treatment Biopsy Is Not Associated with Response to Neoadjuvant Chemotherapy for Breast Cancer. Cancers. 13(2). 235–235. 5 indexed citations
3.
Laas, Enora, Élise Dumas, Jean‐Yves Pierga, et al.. (2021). The Prognostic Value of Lymph Node Involvement after Neoadjuvant Chemotherapy Is Different among Breast Cancer Subtypes. Cancers. 13(2). 171–171. 6 indexed citations
4.
Laas, Enora, Julie Labrosse, Anne‐Sophie Hamy, et al.. (2021). Determination of breast cancer prognosis after neoadjuvant chemotherapy: comparison of Residual Cancer Burden (RCB) and Neo-Bioscore. British Journal of Cancer. 124(8). 1421–1427. 22 indexed citations
5.
Hamy, Anne‐Sophie, Lauren Darrigues, Enora Laas, et al.. (2020). Prognostic value of the Residual Cancer Burden index according to breast cancer subtype: Validation on a cohort of BC patients treated by neoadjuvant chemotherapy. PLoS ONE. 15(6). e0234191–e0234191. 53 indexed citations
6.
Hamy, Anne‐Sophie, Hélène Bonsang‐Kitzis, Diane De Croze, et al.. (2019). Interaction between Molecular Subtypes and Stromal Immune Infiltration before and after Treatment in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. Clinical Cancer Research. 25(22). 6731–6741. 50 indexed citations
7.
Guellec, Sophie Le, Amélie Lusque, Élodie Chantalat, et al.. (2019). Breast desmoid tumor management in France: toward a new strategy. Breast Cancer Research and Treatment. 176(2). 329–335. 30 indexed citations
8.
Millot, Gaël A., Constance Wells, Hervé J. Brisse, et al.. (2018). Correlation between RB1germline mutations and second primary malignancies in hereditary retinoblastoma patients treated with external beam radiotherapy. European Journal of Medical Genetics. 62(3). 217–223. 23 indexed citations
9.
Glentis, Alexandros, Philipp Oertle, Pascale Mariani, et al.. (2017). Cancer-associated fibroblasts induce metalloprotease-independent cancer cell invasion of the basement membrane. Nature Communications. 8(1). 924–924. 266 indexed citations
10.
Italiano, Antoîne, Gaëlle Pierron, Nathalie Auger, et al.. (2016). Clinical effect of molecular methods in sarcoma diagnosis (GENSARC): a prospective, multicentre, observational study. The Lancet Oncology. 17(4). 532–538. 118 indexed citations
11.
Hamy, Anne‐Sophie, Hélène Bonsang‐Kitzis, Marick Laé, et al.. (2016). A Stromal Immune Module Correlated with the Response to Neoadjuvant Chemotherapy, Prognosis and Lymphocyte Infiltration in HER2-Positive Breast Carcinoma Is Inversely Correlated with Hormonal Pathways. PLoS ONE. 11(12). e0167397–e0167397. 8 indexed citations
12.
Laé, Marick, et al.. (2015). Can c-myc amplification reliably discriminate postradiation from primary angiosarcoma of the breast?. Cancer/Radiothérapie. 19(3). 168–174. 38 indexed citations
13.
Kobos, Rachel, Makoto Nagai, Masumi Tsuda, et al.. (2013). Combining integrated genomics and functional genomics to dissect the biology of a cancer‐associated, aberrant transcription factor, the ASPSCR1–TFE3 fusion oncoprotein. The Journal of Pathology. 229(5). 743–754. 50 indexed citations
14.
Ho, Alan L., Shyamprasad Deraje Vasudeva, Marick Laé, et al.. (2012). PDGF Receptor Alpha Is an Alternative Mediator of Rapamycin-Induced Akt Activation: Implications for Combination Targeted Therapy of Synovial Sarcoma. Cancer Research. 72(17). 4515–4525. 56 indexed citations
15.
Williamson, Daniel, Edoardo Missiaglia, Aurélien de Reyniès, et al.. (2010). Fusion Gene–Negative Alveolar Rhabdomyosarcoma Is Clinically and Molecularly Indistinguishable From Embryonal Rhabdomyosarcoma. Journal of Clinical Oncology. 28(13). 2151–2158. 326 indexed citations
16.
Muleris, Martine, Alexandra Chalastanis, Nicolás Meyer, et al.. (2008). Chromosomal Instability in Near-Diploid Colorectal Cancer: A Link between Numbers and Structure. PLoS ONE. 3(2). e1632–e1632. 15 indexed citations
17.
Vignjevic, Danijela Matic, Marie Schoumacher, Nancy Gavert, et al.. (2007). Fascin, a Novel Target of β-Catenin-TCF Signaling, Is Expressed at the Invasive Front of Human Colon Cancer. Cancer Research. 67(14). 6844–6853. 237 indexed citations
18.
Tsuda, Masumi, Ian J. Davis, Pedram Argani, et al.. (2007). TFE3 Fusions Activate MET Signaling by Transcriptional Up-regulation, Defining Another Class of Tumors as Candidates for Therapeutic MET Inhibition. Cancer Research. 67(3). 919–929. 217 indexed citations
19.
Vincent‐Salomon, Anne, J-Y Pierga, J Couturier, et al.. (2007). HER2 status of bone marrow micrometastasis and their corresponding primary tumours in a pilot study of 27 cases: a possible tool for anti-HER2 therapy management?. British Journal of Cancer. 96(4). 654–659. 46 indexed citations
20.
Al‐Abbadi, Mousa A., Walid Abuhammour, Husain A. Saleh, et al.. (2005). Pediatrics. Modern Pathology. 18. 303–307. 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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