Aurélien Lambert

1.7k citations
75 papers · 873 · h-index 15

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 20
    • Cancer Immunotherapy and Biomarkers 6
    • Colorectal Cancer Treatments and Studies 4
    • COVID-19 and healthcare impacts 4
    • Cardiac Structural Anomalies and Repair 4

Aurélien Lambert

58 papers receiving 852 citations

Peers

Aurélien Lambert
Comparison fields: 5 of 76
  • Health Informatics 22
  • Oncology 347
  • Cardiology and Cardiovascular Medicine 217
  • Cancer Research 117
  • Critical Care and Intensive Care Medicine 36
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Citations per year

Countries citing papers authored by Aurélien Lambert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aurélien Lambert Line = papers co-authored together Aurélien Lambert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019159
2 2016146
3 199971
4 199952
5 201747
6 202233
7 200132
8 202429
9 202126
10 200722
11 201719
12 200118
13 200917
14 201215
15 200115
16 200214
17 202112
18 202112
19 202011
20 20198

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 75 papers that have together received 873 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (20 papers), Cancer Genomics and Diagnostics (12 papers), Cardiac Valve Diseases and Treatments (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), Renal cell carcinoma treatment (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Cardiac Structural Anomalies and Repair (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Health Informatics (22 citations), Oncology (347 citations), Cardiology and Cardiovascular Medicine (217 citations), Cancer Research (117 citations) and Critical Care and Intensive Care Medicine (36 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, Scot H. Merrick, Céline Gavoille and Michael K. Cahalan. 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.

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