A. Lamy

947 total citations · 1 hit paper
10 papers, 783 citations indexed

About

A. Lamy is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, A. Lamy has authored 10 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in A. Lamy's work include Colorectal Cancer Treatments and Studies (5 papers), Cancer Treatment and Pharmacology (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). A. Lamy is often cited by papers focused on Colorectal Cancer Treatments and Studies (5 papers), Cancer Treatment and Pharmacology (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). A. Lamy collaborates with scholars based in France, Belgium and Sweden. A. Lamy's co-authors include Thierry Frébourg, Frédéric Blanchard, Pierre Michel, F. Charbonnier, Florence Le Pessot, Frédéric Di Fiore, B Paillot, Marie‐Pierre Galais, F Michot and Laurent Bastit and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and The Journal of Urology.

In The Last Decade

A. Lamy

9 papers receiving 764 citations

Hit Papers

Clinical relevance of KRAS mutation detection in metastat... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Lamy France 6 646 303 266 162 138 10 783
V. Martin Switzerland 7 679 1.1× 349 1.2× 273 1.0× 193 1.2× 154 1.1× 10 804
M. Janssens Belgium 4 615 1.0× 280 0.9× 247 0.9× 122 0.8× 122 0.9× 7 689
Jef De Schutter Belgium 7 691 1.1× 344 1.1× 236 0.9× 159 1.0× 160 1.2× 8 798
Christopher Hagenstad United States 8 687 1.1× 297 1.0× 149 0.6× 168 1.0× 89 0.6× 14 847
A M Queuniet France 2 552 0.9× 266 0.9× 227 0.9× 112 0.7× 102 0.7× 2 627
Tae Won Kim South Korea 8 616 1.0× 258 0.9× 175 0.7× 86 0.5× 100 0.7× 17 699
Janna Christy‐Bittel United States 13 641 1.0× 221 0.7× 301 1.1× 318 2.0× 159 1.2× 20 820
Elena Romagnani Italy 4 496 0.8× 325 1.1× 162 0.6× 115 0.7× 66 0.5× 6 582
Lin Shen China 11 577 0.9× 443 1.5× 174 0.7× 152 0.9× 163 1.2× 33 829
Richard M. Goldberg United States 12 433 0.7× 201 0.7× 206 0.8× 91 0.6× 214 1.6× 33 644

Countries citing papers authored by A. Lamy

Since Specialization
Citations

This map shows the geographic impact of A. Lamy'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 A. Lamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Lamy more than expected).

Fields of papers citing papers by A. Lamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Lamy. 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 A. Lamy. The network helps show where A. Lamy may publish in the future.

Co-authorship network of co-authors of A. Lamy

This figure shows the co-authorship network connecting the top 25 collaborators of A. Lamy. A scholar is included among the top collaborators of A. Lamy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Lamy. A. Lamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lamy, A., et al.. (2025). Chemosensory Receptors in Vertebrates: Structure and Computational Modeling Insights. International Journal of Molecular Sciences. 26(14). 6605–6605.
2.
Mahdizadeh, Sayyed Jalil, Michael A. Stier, Antonio Carlesso, et al.. (2024). Multiscale In Silico Study of the Mechanism of Activation of the RtcB Ligase by the PTP1B Phosphatase. Journal of Chemical Information and Modeling. 64(3). 905–917. 5 indexed citations
3.
Rouleau, Etienne, Karen Leroy, Alexandre Harlé, et al.. (2019). First national external quality assessment for the interpretation of somatic variants: Assessment of 25 variants in colorectal, lung, ovarian cancers and melanoma in France. Annals of Oncology. 30. v30–v30. 1 indexed citations
5.
Fiore, Frédéric Di, A. Lamy, Frédéric Blanchard, et al.. (2011). TP53 mutations in irinotecan-refractory KRAS wt-BRAF wt metastatic colorectal cancer patients treated with cetuximab-based chemotherapy.. Journal of Clinical Oncology. 29(4_suppl). 426–426. 5 indexed citations
6.
Fiore, F. Di, Frédéric Bibeau, A. Lamy, et al.. (2009). TP53 mutations predict disease control in metastatic colorectal cancer treated with cetuximab-based chemotherapy. British Journal of Cancer. 100(8). 1330–1335. 72 indexed citations
7.
Bibeau, Frédéric, Frédéric Di Fiore, Simon Thézenas, et al.. (2008). Association of FcγRIIa and FcγRIIa polymorphisms with clinical outcome in metastatic colorectal cancer patients (mCRC) treated with cetuximab and irinotecan. Journal of Clinical Oncology. 26(15_suppl). 11004–11004. 18 indexed citations
8.
Fiore, Frédéric Di, Frédéric Blanchard, F. Charbonnier, et al.. (2007). Clinical relevance of KRAS mutation detection in metastatic colorectal cancer treated by Cetuximab plus chemotherapy. British Journal of Cancer. 96(8). 1166–1169. 621 indexed citations breakdown →
9.
Fiore, Frédéric Di, Florence Le Pessot, A. Lamy, et al.. (2007). KRAS mutation is highly predictive of cetuximab resistance in metastatic colorectal cancer. Journal of Clinical Oncology. 25(18_suppl). 10502–10502. 6 indexed citations
10.
Lamy, A., Françoise Gobet, M. Laurent, et al.. (2006). Molecular Profiling of Bladder Tumors Based on the Detection of FGFR3 and TP53 Mutations. The Journal of Urology. 176(6). 2686–2689. 54 indexed citations

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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