Jacqueline Lehmann‐Che
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Virology top 5%
Papers in
-
- Cancer Genomics and Diagnostics 19
- Breast Cancer Treatment Studies 15
- Oncology 32
- Cancer-related Molecular Pathways 13
- HER2/EGFR in Cancer Research 5
- Co-authors
- Charles‐Henri Lecellier (2 shared papers)Patrice Dunoyer (1 shared paper)Stéphanie Eyquem (1 shared paper)Khalil Arar (1 shared paper)Christophe Himber (1 shared paper)Olivier Voinnet (1 shared paper)Hugues de Thé (28 shared papers)Marc Espié (12 shared papers)
- Journals
- Cancer Research (6 papers)Blood (4 papers)Leukemia Research (3 papers)International Journal of Cancer (3 papers)British Journal of Cancer (3 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Jacqueline Lehmann‐Che
82 papers receiving 3.4k citations
Jacqueline Lehmann‐Che's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 1.3k
- Virology 206
- Oncology 1.0k
- Molecular Biology 1.5k
- Hematology 240
Countries citing papers authored by Jacqueline Lehmann‐Che
This map shows the geographic impact of Jacqueline Lehmann‐Che'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 Jacqueline Lehmann‐Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Lehmann‐Che more than expected).
Fields of papers citing papers by Jacqueline Lehmann‐Che
This network shows the impact of papers produced by Jacqueline Lehmann‐Che. 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 Jacqueline Lehmann‐Che. The network helps show where Jacqueline Lehmann‐Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacqueline Lehmann‐Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Cellular MicroRNA Mediates Antiviral Defense in Human Cells Hit paper breakdown → | 2005 | 738 |
| 2 | 2010 | 312 | |
| 3 | 2013 | 151 | |
| 4 | 2007 | 132 | |
| 5 | 2014 | 122 | |
| 6 | 2009 | 112 | |
| 7 | 2012 | 104 | |
| 8 | 2019 | 100 | |
| 9 | 2012 | 95 | |
| 10 | 2013 | 79 | |
| 11 | 2013 | 76 | |
| 12 | 2002 | 69 | |
| 13 | 2008 | 67 | |
| 14 | 2010 | 64 | |
| 15 | 2004 | 61 | |
| 16 | 2014 | 60 | |
| 17 | 2017 | 59 | |
| 18 | 2015 | 50 | |
| 19 | 2013 | 47 | |
| 20 | 2011 | 44 |
About Jacqueline Lehmann‐Che
Jacqueline Lehmann‐Che is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Breast Cancer Treatment Studies (15 papers), Cancer-related Molecular Pathways (13 papers), Acute Myeloid Leukemia Research (8 papers), HIV Research and Treatment (6 papers), Medical Imaging Techniques and Applications (6 papers), HER2/EGFR in Cancer Research (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Virology (206 citations), Oncology (1.0k citations), Molecular Biology (1.5k citations) and Hematology (240 citations). Jacqueline Lehmann‐Che has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Charles‐Henri Lecellier, Patrice Dunoyer, Stéphanie Eyquem, Khalil Arar, Christophe Himber, Olivier Voinnet, Hugues de Thé, Marc Espié, Anne de Roquancourt and Sylvie Giacchetti. Their work appears in journals such as Cancer Research, Blood, Leukemia Research, International Journal of Cancer and British 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.