Aurélien Lambert
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Health Informatics top 10%
Papers in
- Co-authors
- Thierry Conroy (15 shared papers)Michel Ducreux (7 shared papers)Lilian Schwarz (2 shared papers)Joseph P. Miller (4 shared papers)Ivan Borbath (4 shared papers)Jean–Luc Van Laethem (2 shared papers)David Malka (1 shared paper)Céline Gavoille (5 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Annals of Oncology (6 papers)Cancers (6 papers)Anesthesia & Analgesia (5 papers)Canadian Journal of Anesthesia/Journal canadien d anesthésie (3 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Aurélien Lambert
56 papers receiving 804 citations
Peers
Comparison fields: 5 of 80
- Oncology 392
- Health Informatics 17
- Cancer Research 155
- Cardiology and Cardiovascular Medicine 224
- Critical Care and Intensive Care Medicine 46
Countries citing papers authored by Aurélien Lambert
This map shows the geographic impact of Aurélien Lambert'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 Aurélien Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Lambert more than expected).
Fields of papers citing papers by Aurélien Lambert
This network shows the impact of papers produced by Aurélien Lambert. 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 Aurélien Lambert. The network helps show where Aurélien Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Lambert, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 152 | |
| 2 | 2016 | 146 | |
| 3 | 1999 | 62 | |
| 4 | 1999 | 47 | |
| 5 | 2017 | 45 | |
| 6 | 2001 | 30 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 24 | |
| 9 | 2024 | 23 | |
| 10 | 2017 | 18 | |
| 11 | 2007 | 18 | |
| 12 | 2009 | 17 | |
| 13 | 2001 | 15 | |
| 14 | 2002 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2001 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 8 |
About Aurélien Lambert
Aurélien Lambert is a scholar working on Oncology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cancer Research, having authored 69 papers that have together received 814 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (22 papers), Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cardiac Valve Diseases and Treatments (8 papers), Cardiovascular Function and Risk Factors (5 papers), Pancreatitis Pathology and Treatment (4 papers), Hemodynamic Monitoring and Therapy (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). The work is most often cited by research in Oncology (392 citations), Health Informatics (17 citations), Cancer Research (155 citations), Cardiology and Cardiovascular Medicine (224 citations) and Critical Care and Intensive Care Medicine (46 citations). Aurélien Lambert has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Thierry Conroy, Michel Ducreux, Lilian Schwarz, Joseph P. Miller, Ivan Borbath, Jean–Luc Van Laethem, David Malka, Céline Gavoille, F. Huguet and Raphaël Maréchal. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancers, Anesthesia & Analgesia and Canadian Journal of Anesthesia/Journal canadien d anesthésie.
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.