L. Chami

54 papers receiving 2.7k citations

Peers

L. Chami
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 629
  • Hepatology 269
  • Radiology, Nuclear Medicine and Imaging 512
  • Biological Psychiatry 33
  • Neurology 185
Replace Seok‐Byung Lim with:
Seok‐Byung Lim South Korea
Jun Ishii Japan
Hideki Yokoi Japan
Stefan Schob Germany
J.M. Llamas Elvira Spain
Zequan Yang United States
Zhe Wang China
Koichiro Tsutsumi Japan
Stephen C. Ward United States
L. Chami relative to Seok‐Byung Lim South Korea Seok‐Byung Lim's profile →
Citations per field
00.5×10.8×
Seok‐Byung Lim · 1×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008218
2 2007184
3 2010166
4 2012162
5 2006150
6 2016149
7 2010141
8 2012138
9 2012137
10 2007125
11 2006125
12 2007114
13 2012101
14 201086
15 201073
16 201267
17
Dynamic contrast-enhanced ultrasonography (DCE-US) and anti-angiogenic treatments.
201167
18 201954
19 200551
20 200850

About L. Chami

L. Chami is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Hepatology and Molecular Biology, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Ultrasound and Hyperthermia Applications (9 papers), Renal cell carcinoma treatment (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Gastrointestinal Tumor Research and Treatment (6 papers), Ultrasound Imaging and Elastography (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (629 citations), Hepatology (269 citations), Radiology, Nuclear Medicine and Imaging (512 citations), Biological Psychiatry (33 citations) and Neurology (185 citations). L. Chami has collaborated with scholars based in France, United States and Canada. 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, American Journal of Roentgenology, The Journal of Clinical Endocrinology & Metabolism, Thyroid and European Journal of Cancer.

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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