M Hamami

1.0k citations
15 papers · 866 · h-index 11

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Radiopharmaceutical Chemistry and Applications

Papers in

M Hamami

15 papers receiving 842 citations

Peers

M Hamami
Comparison fields: 5 of 45
  • Hepatology 444
  • Radiology, Nuclear Medicine and Imaging 270
  • Cancer Research 95
  • Pulmonary and Respiratory Medicine 143
  • Epidemiology 132
Replace Laurent Vervueren with:
Laurent Vervueren France
Marilyne Kafrouni France
Licht Tominaga Japan
Won Sup Yoon South Korea
David L. Andolino United States
Valérie Laurent France
Julie Lonjon France
Wassim Allaham France
Bastiaan Wiering Netherlands
S Ohue Japan
M Hamami relative to Laurent Vervueren France Laurent Vervueren's profile →
Citations per field
00.5×2×4×5.1×
Laurent Vervueren · 1×
Citations per year

Countries citing papers authored by M Hamami

Since Specialization
Citations

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

Fields of papers citing papers by M Hamami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Hamami, 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 M Hamami Line = papers co-authored together M Hamami links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010378
2 2009119
3 2010112
4 200988
5 200940
6 200926
7 201125
8 200917
9 200916
10 201013
11 201012
12 20119
13 20106
14 20094
15 20091

About M Hamami

M Hamami is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Gastroenterology and Genetics, having authored 15 papers that have together received 866 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Medical Imaging Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), MRI in cancer diagnosis (1 paper), Cancer Mechanisms and Therapy (1 paper), Glioma Diagnosis and Treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Hepatology (444 citations), Radiology, Nuclear Medicine and Imaging (270 citations), Cancer Research (95 citations), Pulmonary and Respiratory Medicine (143 citations) and Epidemiology (132 citations). M Hamami has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Gerald Antoch, Andreas Bockisch, Till Alexander Heusner, Michael Forsting, Guido Gerken, Judith Ertle, Stefan P Müller, Philip a. Hilgard, André Scherag and Vito Rosario Cicinnati. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, European Journal of Nuclear Medicine and Molecular Imaging, European Journal of Radiology, European Radiology and Hepatology.

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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