Salma Moalla

503 total citations
19 papers, 243 citations indexed

About

Salma Moalla is a scholar working on Pathology and Forensic Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Salma Moalla has authored 19 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Salma Moalla's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and MRI in cancer diagnosis (2 papers). Salma Moalla is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and MRI in cancer diagnosis (2 papers). Salma Moalla collaborates with scholars based in France, Germany and United States. Salma Moalla's co-authors include Thierry de Baère, Frédèric Deschamps, Lambros Tselikas, Antoine Hakimé, Charles Roux, C. Tériitéhau, Corinne Balleyguier, Stéphanie Pitre-Champagnat, Laurent Dercle and Franck Bourdeaut and has published in prestigious journals such as Clinical Cancer Research, Annals of Oncology and Investigative Ophthalmology & Visual Science.

In The Last Decade

Salma Moalla

17 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salma Moalla France 10 64 63 56 45 42 19 243
Ajay A. Rao United States 6 134 2.1× 72 1.1× 47 0.8× 42 0.9× 41 1.0× 7 316
Eren Celik Germany 11 68 1.1× 112 1.8× 128 2.3× 31 0.7× 28 0.7× 25 270
Bingjie Zheng China 10 128 2.0× 108 1.7× 43 0.8× 32 0.7× 47 1.1× 34 364
J. Mucientes Rasilla Spain 9 65 1.0× 64 1.0× 61 1.1× 23 0.5× 17 0.4× 33 207
Andrei Roman Romania 10 68 1.1× 143 2.3× 53 0.9× 23 0.5× 12 0.3× 33 320
Oliver Schramm Germany 10 115 1.8× 109 1.7× 45 0.8× 99 2.2× 89 2.1× 21 330
M. Chust Spain 9 69 1.1× 62 1.0× 127 2.3× 64 1.4× 19 0.5× 15 297
Dong Soo Lee South Korea 11 84 1.3× 87 1.4× 90 1.6× 33 0.7× 10 0.2× 32 290
Xavier Palard-Novello France 9 108 1.7× 74 1.2× 48 0.9× 16 0.4× 16 0.4× 30 225
Julie Leseur France 9 99 1.5× 102 1.6× 29 0.5× 24 0.5× 13 0.3× 32 286

Countries citing papers authored by Salma Moalla

Since Specialization
Citations

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

Fields of papers citing papers by Salma Moalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salma Moalla

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

All Works

19 of 19 papers shown
1.
Muller, Serge, Gabriel Garcia, Salma Moalla, et al.. (2025). Photon-Counting CT Scan Phantom Study: Stability of Radiomics Features. Diagnostics. 15(6). 649–649.
2.
3.
Cardoen, Liesbeth, Volodia Dangouloff‐Ros, Salma Moalla, et al.. (2021). Imaging Features with Histopathologic Correlation of CNS High-Grade Neuroepithelial Tumors with a BCOR Internal Tandem Duplication. American Journal of Neuroradiology. 43(1). 151–156. 11 indexed citations
4.
Ammari, Samy, Tarek Assi, Mehdi Touat, et al.. (2021). Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab. Diagnostics. 11(7). 1263–1263. 14 indexed citations
5.
Orbach, Daniel, Louise Galmiche, Dominique Berrebi, et al.. (2021). Clinical, pathologic, and molecular features of inflammatory myofibroblastic tumors in children and adolescents. Pediatric Blood & Cancer. 69(5). e29460–e29460. 14 indexed citations
6.
Ammari, Samy, Stéphanie Pitre-Champagnat, Laurent Dercle, et al.. (2021). Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study. Frontiers in Oncology. 10. 541663–541663. 35 indexed citations
7.
Baudin, Éric, Bernard Goichot, Alfredo Berruti, et al.. (2021). 567O First International Randomized Study in Malignant Progressive Pheochromocytoma and Paragangliomas (FIRSTMAPPP): An academic double-blind trial investigating sunitinib. Annals of Oncology. 32. S621–S621. 16 indexed citations
8.
Arfi‐Rouche, Julia, Aurélie Jalaguier-Coudray, Stéphanie Roullet, et al.. (2021). Micro- et macrobiopsies mammaires chez les patientes sous traitement antithrombotique. Imagerie de la Femme. 31(3). 115–122.
9.
Moalla, Salma, Stéphanie Franchi‐Abella, Samy Ammari, et al.. (2020). Methodological Study to Investigate the Potential of Ultrasound-Based Elastography and Texture as Biomarkers to Monitor Liver Tumors. Diagnostics. 10(10). 811–811. 3 indexed citations
10.
Lamarca, Ángela, Maxime Ronot, Salma Moalla, et al.. (2019). Tumor Growth Rate as a Validated Early Radiological Biomarker Able to Reflect Treatment-Induced Changes in Neuroendocrine Tumors: The GREPONET-2 Study. Clinical Cancer Research. 25(22). 6692–6699. 22 indexed citations
11.
Gravel, Guillaume, Lambros Tselikas, Steven Yevich, et al.. (2019). Early detection with MRI of incomplete treatment of spine metastases after percutaneous cryoablation. European Radiology. 29(10). 5655–5663. 12 indexed citations
12.
Deschamps, Frédèric, Antoine Hakimé, Salma Moalla, et al.. (2019). Image-guided lung metastasis ablation: a literature review. International Journal of Hyperthermia. 36(2). 37–45. 57 indexed citations
13.
Guerrini‐Rousseau, Léa, Pascale Varlet, Chrystelle Colas, et al.. (2019). Constitutional mismatch repair deficiency–associated brain tumors: report from the European C4CMMRD consortium. Neuro-Oncology Advances. 1(1). vdz033–vdz033. 38 indexed citations
14.
15.
Vassal, Gilles, Nathalie Cozic, Roch Houot, et al.. (2018). Biomarker-driven access to crizotinib in ALK, MET or ROS1 positive (+) malignancies in adults and children: The French national AcSé program. Annals of Oncology. 29. viii142–viii142. 2 indexed citations
16.
Moalla, Salma, Julia Arfi‐Rouche, Stéphanie Foulon, et al.. (2017). Are we reproducible in measurement of NET liver metastasis?. Digestive and Liver Disease. 49(10). 1121–1127. 4 indexed citations
17.
Moalla, Salma, et al.. (2008). Étude du profil postural et de la statique rachidienne chez les femmes postménopausées et lombalgiques chroniques. Annales de Réadaptation et de Médecine Physique. 51(8). 619–629. 2 indexed citations
18.
Moalla, Salma, et al.. (2007). Congenital cataract etiology.. PubMed. 85(12). 1025–9. 10 indexed citations
19.
Khairallah, Moncef, S. Zaouali, S. Attia, et al.. (2006). Linear Pattern of West Nile Virus–Associated Chorioretinitis Is Related to Retinal Nerve Fibers Organization. Investigative Ophthalmology & Visual Science. 47(13). 3069–3069. 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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