Amine Bouhamama

803 total citations
34 papers, 425 citations indexed

About

Amine Bouhamama is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Oncology. According to data from OpenAlex, Amine Bouhamama has authored 34 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 15 papers in Rheumatology and 10 papers in Oncology. Recurrent topics in Amine Bouhamama's work include Sarcoma Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Soft tissue tumor case studies (6 papers). Amine Bouhamama is often cited by papers focused on Sarcoma Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Soft tissue tumor case studies (6 papers). Amine Bouhamama collaborates with scholars based in France, Switzerland and Austria. Amine Bouhamama's co-authors include F. Pilleul, Jean‐Yves Blay, F. Gouin, Perrine Marec‐Bérard, Benjamin Leporq, Olivier Beuf, Mehdi Brahmi, Marie Karanian, Gualter Vaz and Armelle Dufresne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Amine Bouhamama

34 papers receiving 420 citations

Peers

Amine Bouhamama
Lorraine G. Shapeero United States
Nathan Bittner United States
Eun Ji Han South Korea
Yassar Qureshi United Kingdom
Arie J. Verschoor Netherlands
Amine Bouhamama
Citations per year, relative to Amine Bouhamama Amine Bouhamama (= 1×) peers Steen Bærentzen

Countries citing papers authored by Amine Bouhamama

Since Specialization
Citations

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

Fields of papers citing papers by Amine Bouhamama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amine Bouhamama

This figure shows the co-authorship network connecting the top 25 collaborators of Amine Bouhamama. A scholar is included among the top collaborators of Amine Bouhamama 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 Amine Bouhamama. Amine Bouhamama 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.
Delrieu, Lidia, Amine Bouhamama, Fabien Reyal, et al.. (2024). Automatic deep learning method for third lumbar selection and body composition evaluation on CT scans of cancer patients. SHILAP Revista de lepidopterología. 3. 1292676–1292676. 6 indexed citations
2.
Leporq, Benjamin, Amine Bouhamama, H. Ratiney, et al.. (2024). Development of a Secure Web-Based Medical Imaging Analysis Platform: The AWESOMME Project. Journal of Imaging Informatics in Medicine. 37(5). 2612–2626. 1 indexed citations
3.
Bouhamama, Amine, Benjamin Leporq, Jean‐Philippe Foy, et al.. (2023). Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC. SHILAP Revista de lepidopterología. 3. 1168448–1168448. 5 indexed citations
4.
Bouhamama, Amine, et al.. (2023). Characterization of Breast Tumors from MR Images Using Radiomics and Machine Learning Approaches. Journal of Personalized Medicine. 13(7). 1062–1062. 4 indexed citations
5.
Pissaloux, Daniel, et al.. (2022). Small-Cell Lung Cancer Transformation as a Mechanism of Resistance to Pralsetinib in RET-Rearranged Lung Adenocarcinoma: A Case Report. Clinical Lung Cancer. 24(1). 72–75. 19 indexed citations
6.
Drapé, Jean‐Luc, et al.. (2022). Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning. European Radiology Experimental. 6(1). 41–41. 12 indexed citations
7.
Tabone‐Eglinger, Séverine, Didier Surdez, Olivier Delattre, et al.. (2022). Staging of newly diagnosed Ewing sarcoma: Results of bone marrow aspiration and biopsy versus (18)FDG-PET/CT imaging for bone marrow involvement. European Journal of Cancer. 179. 56–64. 7 indexed citations
8.
Vanacker, Hélène, Daniel Pissaloux, Philippe A. Cassier, et al.. (2022). Expanding the molecular spectrum of tenosynovial giant cell tumors. Frontiers in Oncology. 12. 1012527–1012527. 9 indexed citations
9.
Collet, L., Lidia Delrieu, Amine Bouhamama, et al.. (2021). Association between Body Mass Index and Survival Outcome in Metastatic Cancer Patients Treated by Immunotherapy: Analysis of a French Retrospective Cohort. Cancers. 13(9). 2200–2200. 13 indexed citations
10.
Delrieu, Lidia, Agnès Martin, Marina Touillaud, et al.. (2021). Sarcopenia and serum biomarkers of oxidative stress after a 6-month physical activity intervention in women with metastatic breast cancer: results from the ABLE feasibility trial. Breast Cancer Research and Treatment. 188(3). 601–613. 18 indexed citations
11.
Brahmi, Mehdi, Isabelle Treilleux, Daniel Pissaloux, et al.. (2020). Molecular Classification of Endometrial Stromal Sarcomas Using RNA Sequencing Defines Nosological and Prognostic Subgroups with Different Natural History. Cancers. 12(9). 2604–2604. 25 indexed citations
12.
Crombé, Amandine, Michèle Kind, Isabelle Ray‐Coquard, et al.. (2020). Progressive Desmoid Tumor: Radiomics Compared With Conventional Response Criteria for Predicting Progression During Systemic Therapy—A Multicenter Study by the French Sarcoma Group. American Journal of Roentgenology. 215(6). 1539–1548. 24 indexed citations
13.
Pilleul, F., et al.. (2020). Cryoneurolysis in Patients with Dorsal Neuropathic Pain Secondary to Tumor Invasion. Journal of Vascular and Interventional Radiology. 31(6). 917–924. 9 indexed citations
14.
Leporq, Benjamin, Amine Bouhamama, F. Pilleul, et al.. (2020). MRI-based radiomics to predict lipomatous soft tissue tumors malignancy: a pilot study. Cancer Imaging. 20(1). 78–78. 26 indexed citations
15.
Kurtz, Jean‐Emmanuel, Xavier Buy, Frédèric Deschamps, et al.. (2020). CRYODESMO-O1: A prospective, open phase II study of cryoablation in desmoid tumour patients progressing after medical treatment. European Journal of Cancer. 143. 78–87. 51 indexed citations
16.
Raux, Sébastien, Amine Bouhamama, Nathalie Gaspar, et al.. (2019). Denosumab for treating aneurysmal bone cysts in children. Orthopaedics & Traumatology Surgery & Research. 105(6). 1181–1185. 36 indexed citations
17.
Bouhamama, Amine, Benjamin Leporq, Olivier Beuf, et al.. (2019). Prédiction de la réponse à la chimiothérapie des ostéosarcomes à partir des données radiomiques issues des IRM diagnostiques. Bulletin du Cancer. 106(11). 983–999. 17 indexed citations
18.
Crombé, Amandine, Hervé J. Brisse, Amine Bouhamama, et al.. (2018). Alveolar soft-part sarcoma: can MRI help discriminating from other soft-tissue tumors? A study of the French sarcoma group. European Radiology. 29(6). 3170–3182. 20 indexed citations
19.
Bouhamama, Amine, et al.. (2018). Percutaneous Cryotherapy for Treatment of Chondroblastoma: Early Experience. CardioVascular and Interventional Radiology. 42(2). 304–307. 10 indexed citations
20.
Thivolet, Arnaud, et al.. (2017). Delayed Bronchocutaneous Fistula Without Pneumothorax Following a Microwave Ablation of a Recurrent Pulmonary Metastasis. CardioVascular and Interventional Radiology. 41(2). 340–343. 4 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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