J. Leclère
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hepatology 11
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Co-authors
- Nathalie LassauMichele LamuragliaAlain RocheL. ChamiSerge KoscielnyMarie‐Françoise AvrilD. VanelA Margulis
- Journals
- Journal of Clinical Oncology (4 papers)Investigative Radiology (3 papers)American Journal of Roentgenology (3 papers)Cancer Imaging (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
J. Leclère
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Hepatology 298
- Radiology, Nuclear Medicine and Imaging 361
- Oncology 413
- Hematology 134
- Pulmonary and Respiratory Medicine 364
Countries citing papers authored by J. Leclère
This map shows the geographic impact of J. Leclère'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 J. Leclère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Leclère more than expected).
Fields of papers citing papers by J. Leclère
This network shows the impact of papers produced by J. Leclère. 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 J. Leclère. The network helps show where J. Leclère may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Leclère, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 70 | |
| 2 | 2006 | 1 | |
| 3 | 2006 | 10 | |
| 4 | 2006 | 118 | |
| 5 | 2005 | 45 | |
| 6 | 2005 | 18 | |
| 7 | 2004 | 24 | |
| 8 | 2003 | 40 | |
| 9 | Démarche diagnostique devant un nodule thyroïdien | 2002 | 0 |
| 10 | 2002 | 5 | |
| 11 | 2001 | 11 | |
| 12 | 1999 | 54 | |
| 13 | 1997 | 104 | |
| 14 | 1997 | 87 | |
| 15 | 1996 | 19 | |
| 16 | 1994 | 6 | |
| 17 | 1994 | 10 | |
| 18 | 1993 | 1 | |
| 19 | [Association of Steinert's disease and neurofibromatosis]. | 1990 | 1 |
| 20 | Imagerie des tumeurs malignes de l'utérus et de l'ovaire. | 1989 | 0 |
About J. Leclère
J. Leclère is a scholar working on Hepatology, Family Practice, Gastroenterology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Sarcoma Diagnosis and Treatment (9 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Patient-Provider Communication in Healthcare (6 papers), MRI in cancer diagnosis (5 papers) and Cutaneous Melanoma Detection and Management (5 papers). The work is most often cited by research in Hepatology (298 citations), Radiology, Nuclear Medicine and Imaging (361 citations), Oncology (413 citations), Hematology (134 citations) and Pulmonary and Respiratory Medicine (364 citations). J. Leclère has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Nathalie Lassau, Michele Lamuraglia, Alain Roche, L. Chami, Serge Koscielny, Marie‐Françoise Avril, D. Vanel, A Margulis, P. Péronneau and Olivier Hartmann. Their work appears in journals such as Journal of Clinical Oncology, Investigative Radiology, American Journal of Roentgenology, Cancer Imaging and International Journal of Radiation Oncology*Biology*Physics.
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.