Salma Moalla

525 citations
19 papers · 258 · h-index 10

Impact in

    • Glioma Diagnosis and Treatment
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Salma Moalla

18 papers receiving 255 citations

Peers

Salma Moalla
Comparison fields: 5 of 54
  • Genetics 36
  • Hepatology 19
  • Neurology 33
  • Radiology, Nuclear Medicine and Imaging 44
  • Cancer Research 24
Replace Shin-Hyung Park with:
Shin-Hyung Park South Korea
Ping Hu China
Naruhide Kimura Japan
Yuka Matsuo Japan
Yuntai Cao China
Dong Soo Lee South Korea
Giulio Riva Italy
Caiqiang Xue China
Gordian Hamerla Germany
Alberto Rigon Italy
Salma Moalla relative to Shin-Hyung Park South Korea Shin-Hyung Park's profile →
Citations per field
00.5×1.5×
Shin-Hyung Park · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Salma Moalla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Salma Moalla Line = papers co-authored together Salma Moalla links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201961
2 201939
3 202136
4 201923
5 202117
6 202115
7 202114
8 202113
9 201913
10
Congenital cataract etiology.
200710
11 20174
12 20203
13 20083
14 20252
15 20182
16 20241
17 20181
18
Linear Pattern of West Nile Virus–Associated Chorioretinitis Is Related to Retinal Nerve Fibers Organization
20061
19 20210

About Salma Moalla

Salma Moalla is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 19 papers that have together received 258 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Neuroblastoma Research and Treatments (2 papers), Lung Cancer Research Studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Ultrasound Imaging and Elastography (1 paper), MRI in cancer diagnosis (1 paper), Advanced X-ray and CT Imaging (1 paper) and Management of metastatic bone disease (1 paper). The work is most often cited by research in Genetics (36 citations), Hepatology (19 citations), Neurology (33 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Cancer Research (24 citations). Salma Moalla has collaborated with scholars based in France, Germany and Tunisia. Frequent co-authors include Frédèric Deschamps, Antoine Hakimé, Lambros Tselikas, Thierry de Baère, C. Tériitéhau, Charles Roux, Corinne Balleyguier, Samy Ammari, Nathalie Lassau and Stéphanie Pitre-Champagnat. Their work appears in journals such as Annals of Oncology, Clinical Cancer Research, Neuro-Oncology Advances, Frontiers in Oncology and European Radiology.

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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