L. Chami

52 papers receiving 2.5k citations

Peers

L. Chami
Comparison fields: 5 of 108
  • Hepatology 327
  • Endocrinology, Diabetes and Metabolism 661
  • Radiology, Nuclear Medicine and Imaging 752
  • Anatomy 24
  • Biological Psychiatry 42
Replace Hideki Yokoi with:
Hideki Yokoi Japan
M. Roselle Abraham United States
Stephen Lee United States
Hironori Yamasaki Japan
Stefan Schob Germany
Tetsuzo Tagawa Japan
Suh-Hang Hank Juo Taiwan
Mohsin Khan United States
Sylvia Cohen‐Kaminsky France
L. Chami relative to Hideki Yokoi Japan Hideki Yokoi's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Chami

Since Specialization
Citations

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

Fields of papers citing papers by L. Chami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008209
2 2010158
3 2012158
4 2007153
5 2016143
6 2006140
7 2010137
8 2012131
9 2012130
10 2007121
11 2006118
12 2007109
13 2012100
14 201078
15 201070
16 201262
17
Dynamic contrast-enhanced ultrasonography (DCE-US) and anti-angiogenic treatments.
201160
18 201953
19 200946
20 200846

About L. Chami

L. Chami is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering and Hepatology, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Ultrasound and Hyperthermia Applications (10 papers), Thyroid and Parathyroid Surgery (9 papers), Angiogenesis and VEGF in Cancer (8 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Renal cell carcinoma treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Hepatology (327 citations), Endocrinology, Diabetes and Metabolism (661 citations), Radiology, Nuclear Medicine and Imaging (752 citations), Anatomy (24 citations) and Biological Psychiatry (42 citations). L. Chami has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Nathalie Lassau, Alain Roche, Frédéric Checler, Sophie Leboulleux, Dana M. Hartl, Baya Benatsou, Martin Schlumberger, Éric Baudin, Abir Al Ghuzlan and Mohamed Chébil. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Targeted Oncology, European Journal of Cancer and Annals of Oncology.

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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