Myriam Kossaï

4.4k total citations
36 papers, 768 citations indexed

About

Myriam Kossaï is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Myriam Kossaï has authored 36 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Myriam Kossaï's work include Cancer Immunotherapy and Biomarkers (13 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer Cells and Metastasis (5 papers). Myriam Kossaï is often cited by papers focused on Cancer Immunotherapy and Biomarkers (13 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer Cells and Metastasis (5 papers). Myriam Kossaï collaborates with scholars based in France, United States and Italy. Myriam Kossaï's co-authors include Alexandra Léary, Jean‐Yves Scoazec, Catherine Genestie, Frédérique Penault‐Llorca, Nina Radosevic‐Robin, Suzanne Parry, Catherine Clarke, Leonard Da Silva, Lynne Reid and Patricia Keith and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Myriam Kossaï

34 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myriam Kossaï France 10 279 277 258 173 151 36 768
Maki Tanioka Japan 17 335 1.2× 261 0.9× 166 0.6× 111 0.6× 89 0.6× 76 841
Natalie Y.L. Ngoi Singapore 17 506 1.8× 428 1.5× 146 0.6× 121 0.7× 65 0.4× 70 919
Cristina Pérez-Ramírez Spain 14 211 0.8× 309 1.1× 177 0.7× 161 0.9× 156 1.0× 50 762
Anselmo Papa Italy 12 335 1.2× 313 1.1× 160 0.6× 86 0.5× 77 0.5× 25 675
Caterina Fontanella Italy 13 375 1.3× 145 0.5× 139 0.5× 196 1.1× 80 0.5× 43 625
Shengling Fu China 14 403 1.4× 272 1.0× 158 0.6× 195 1.1× 69 0.5× 37 746
Marlies S. Reimers Netherlands 16 536 1.9× 214 0.8× 268 1.0× 144 0.8× 237 1.6× 19 949
W Famulski Poland 15 251 0.9× 248 0.9× 128 0.5× 50 0.3× 104 0.7× 59 604
Manuel Debald Germany 11 190 0.7× 182 0.7× 183 0.7× 38 0.2× 61 0.4× 23 500
Morihiko Kimura Japan 16 349 1.3× 191 0.7× 204 0.8× 94 0.5× 104 0.7× 47 698

Countries citing papers authored by Myriam Kossaï

Since Specialization
Citations

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

Fields of papers citing papers by Myriam Kossaï

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myriam Kossaï

This figure shows the co-authorship network connecting the top 25 collaborators of Myriam Kossaï. A scholar is included among the top collaborators of Myriam Kossaï 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 Myriam Kossaï. Myriam Kossaï 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.
Le, Hung V., Ioana Molnar, Claude Darcha, et al.. (2025). Leveraging Deep Learning for Immune Cell Quantification and Prognostic Evaluation in Radiotherapy-Treated Oropharyngeal Squamous Cell Carcinomas. Laboratory Investigation. 105(4). 104094–104094. 1 indexed citations
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Miroir, J., Ioana Molnar, Emmanuel Chautard, et al.. (2023). Outcomes among oropharyngeal and oral cavity cancer patients treated with postoperative volumetric modulated arctherapy. Frontiers in Oncology. 13. 1272856–1272856. 3 indexed citations
5.
Boyer, L., et al.. (2023). Pictorial essay: MRI evaluation of endometriosis-associated neoplasms. Insights into Imaging. 14(1). 144–144. 3 indexed citations
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Kossaï, Myriam, C. Radulescu, Julien Adam, et al.. (2021). Plasmacytoid urothelial carcinoma (UC) are luminal tumors with similar CD8+ Tcell density and PD-L1 protein expression on immune cells as compared to conventional UC. Urologic Oncology Seminars and Original Investigations. 40(1). 12.e1–12.e11. 9 indexed citations
8.
Mezquita, Laura, Caroline Rossoni, Édouard Auclin, et al.. (2021). Tumour-infiltrating lymphocyte density is associated with favourable outcome in patients with advanced non–small cell lung cancer treated with immunotherapy. European Journal of Cancer. 145. 221–229. 53 indexed citations
9.
Durando, Xavier, Marie‐Ange Mouret‐Reynier, Myriam Kossaï, et al.. (2021). Platelet-to-Lymphocyte Ratio Is Associated With Favorable Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer: A Study on 120 Patients. Frontiers in Oncology. 11. 678315–678315. 27 indexed citations
10.
Kossaï, Myriam, C. Radulescu, Julien Adam, et al.. (2021). Plasmacytoid urothelial carcinoma (UC) are luminal tumors with similar immune microenvironment as compared to conventional UC.. Journal of Clinical Oncology. 39(6_suppl). 477–477. 1 indexed citations
11.
Kossaï, Myriam, Nina Radosevic‐Robin, & Frédérique Penault‐Llorca. (2021). Refining patient selection for breast cancer immunotherapy: beyond PD-L1. ESMO Open. 6(5). 100257–100257. 22 indexed citations
12.
Montoriol, P.F., et al.. (2021). Benign Brenner tumour of the ovary: CT and MRI features. Clinical Radiology. 76(8). 593–598. 13 indexed citations
13.
Molnar, Ioana, Myriam Kossaï, Catherine Abrial, et al.. (2021). INSTIGO Trial: Evaluation of a Plasma Protein Profile as a Predictive Biomarker for Metastatic Relapse of Triple Negative Breast Cancer. Frontiers in Oncology. 11. 653370–653370. 3 indexed citations
14.
Durando, Xavier, Yannick Bidet, Ioana Molnar, et al.. (2020). PERCEPTION Trial protocol. Medicine. 99(50). e23418–e23418. 3 indexed citations
15.
Mezquita, Laura, Caroline Rossoni, Édouard Auclin, et al.. (2019). MA25.03 Tumor-Infiltrating Lymphocytes (TIL) and Outcomes with Immunotherapy (ICI) or Chemotherapy in Advanced NSCLC (aNSCLC) Patients. Journal of Thoracic Oncology. 14(10). S351–S352. 2 indexed citations
16.
Kossaï, Myriam, Gwénaël Le Teuff, Marc Deloger, et al.. (2017). MA11.02 Mutational Burden in Pulmonary Neuroendocrine Tumors (puNETs). Journal of Thoracic Oncology. 12(1). S404–S404. 2 indexed citations
17.
Mezquita, Laura, Édouard Auclin, Sylvestre Le Moulec, et al.. (2017). Pathological evaluation of tumor infiltrating lymphocytes and the benefit of nivolumab in advanced non-small cell lung cancer (NSCLC). Annals of Oncology. 28. v30–v30. 4 indexed citations
18.
Beltran, Himisha, Adam Jendrisak, Mark Landers, et al.. (2015). The Initial Detection and Partial Characterization of Circulating Tumor Cells in Neuroendocrine Prostate Cancer. Clinical Cancer Research. 22(6). 1510–1519. 108 indexed citations
19.
Kossaï, Myriam, Boris Duchemann, C. Boutros, et al.. (2015). Antitumor activity in advanced cancer patients with thymic malignancies enrolled in early clinical drug development programs (Phase I trials) at Gustave Roussy. Lung Cancer. 89(3). 306–310. 8 indexed citations
20.
Silva, Leonard Da, Suzanne Parry, Lynne Reid, et al.. (2008). Aberrant Expression of E-cadherin in Lobular Carcinomas of the Breast. The American Journal of Surgical Pathology. 32(5). 773–783. 115 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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