Kamel Lahouel

1.9k total citations
9 papers, 75 citations indexed

About

Kamel Lahouel is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Kamel Lahouel has authored 9 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Kamel Lahouel's work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Colorectal Cancer Treatments and Studies (2 papers). Kamel Lahouel is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Colorectal Cancer Treatments and Studies (2 papers). Kamel Lahouel collaborates with scholars based in United States, Australia and Russia. Kamel Lahouel's co-authors include Bert Vogelstein, Cristian Tomasetti, Laurent Younès, Ludmila Danilova, Donald Geman, Francis M. Giardiello, Ralph H. Hruban, John D. Groopman, Kenneth W. Kinzler and Ehsan Variani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Computational Physics.

In The Last Decade

Kamel Lahouel

8 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamel Lahouel United States	5	43	30	24	21	16	9	75
Anna Morra Italy	4	24 0.6×	32 1.1×	22 0.9×	7 0.3×	18 1.1×	10	90
Cornelia M. Focke Netherlands	5	69 1.6×	55 1.8×	16 0.7×	34 1.6×	18 1.1×	7	99
Catherine Ennis Canada	6	46 1.1×	19 0.6×	59 2.5×	12 0.6×	7 0.4×	6	100
Katrin Pfütze Germany	4	37 0.9×	32 1.1×	78 3.3×	14 0.7×	10 0.6×	5	101
Sabrina Y. Camp United States	5	40 0.9×	18 0.6×	35 1.5×	12 0.6×	49 3.1×	8	93
Giuseppa Candela Italy	3	43 1.0×	57 1.9×	38 1.6×	6 0.3×	18 1.1×	3	89
Karl P. Hodel United States	3	44 1.0×	17 0.6×	35 1.5×	41 2.0×	8 0.5×	3	68
Vincent Cockenpot France	6	18 0.4×	25 0.8×	28 1.2×	12 0.6×	16 1.0×	14	84
Anna Maria Lavecchia Italy	5	27 0.6×	23 0.8×	20 0.8×	16 0.8×	8 0.5×	11	65
P. H. Peeters Netherlands	3	46 1.1×	83 2.8×	18 0.8×	25 1.2×	14 0.9×	5	114

Countries citing papers authored by Kamel Lahouel

Since Specialization

Citations

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

Fields of papers citing papers by Kamel Lahouel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamel Lahouel

This figure shows the co-authorship network connecting the top 25 collaborators of Kamel Lahouel. A scholar is included among the top collaborators of Kamel Lahouel 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 Kamel Lahouel. Kamel Lahouel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Kimura, Hirokazu, Kamel Lahouel, Cristian Tomasetti, & Nicholas J. Roberts. (2024). Functional characterization of all CDKN2A missense variants and comparison to in silico models of pathogenicity. eLife. 13.

Lahouel, Kamel, et al.. (2024). Learning nonparametric ordinary differential equations from noisy data. Journal of Computational Physics. 507. 112971–112971. 1 indexed citations

Tie, Jeanne, Yuxuan Wang, Serigne Lo, et al.. (2024). Circulating tumor DNA analysis guiding adjuvant therapy in stage II colon cancer: Overall survival and updated 5-year results from the randomized DYNAMIC trial.. Journal of Clinical Oncology. 42(16_suppl). 108–108. 11 indexed citations

Lahouel, Kamel, et al.. (2023). Learning Nonparametric Ordinary Differential Equations from Noisy Data. SSRN Electronic Journal. 1 indexed citations

Tie, Jeanne, Jesse Cohen, Kamel Lahouel, et al.. (2022). 318MO Circulating tumour DNA (ctDNA) dynamics, CEA and sites of recurrence for the randomised DYNAMIC study: Adjuvant chemotherapy (ACT) guided by ctDNA analysis in stage II colon cancer (CC). Annals of Oncology. 33. S683–S683. 8 indexed citations

Tie, Jeanne, Joshua D. Cohen, Kamel Lahouel, et al.. (2022). Adjuvant chemotherapy guided by circulating tumor DNA analysis in stage II colon cancer: The randomized DYNAMIC trial.. Journal of Clinical Oncology. 40(17_suppl). LBA100–LBA100. 3 indexed citations

Afsari, Bahman, Yifan Zhang, Lu Li, et al.. (2021). Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer. eLife. 10. 10 indexed citations

Lahouel, Kamel, Laurent Younès, Ludmila Danilova, et al.. (2019). Revisiting the tumorigenesis timeline with a data-driven generative model. Proceedings of the National Academy of Sciences. 117(2). 857–864. 35 indexed citations

Variani, Ehsan, Tom Bagby, Kamel Lahouel, Erik McDermott, & Michiel Bacchiani. (2018). Sampled Connectionist Temporal Classification. 4959–4963. 6 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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