Benoît Roch

891 total citations
32 papers, 493 citations indexed

About

Benoît Roch is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Benoît Roch has authored 32 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Benoît Roch's work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Research Studies (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Benoît Roch is often cited by papers focused on Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Research Studies (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Benoît Roch collaborates with scholars based in France, Italy and Canada. Benoît Roch's co-authors include Alain R. Thierry, Jean-Louis Pujol, Sébastien Bommart, Jean‐Pierre Daurès, Amandine Coffy, Brice Pastor, Cynthia Sánchez, Jean‐Pierre de Villartay, Thibault Mazard and Ekaterina Pisareva and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Benoît Roch

29 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Roch France 11 164 158 126 116 102 32 493
Jean‐Laurent Deville France 14 191 1.2× 185 1.2× 30 0.2× 254 2.2× 84 0.8× 38 642
Toshiaki Ishida Japan 11 180 1.1× 112 0.7× 50 0.4× 78 0.7× 84 0.8× 51 439
Janine Hensel United States 10 160 1.0× 131 0.8× 72 0.6× 145 1.3× 77 0.8× 13 492
Anne‐Marie Langevin United States 12 103 0.6× 113 0.7× 78 0.6× 133 1.1× 64 0.6× 29 518
Nobutaka Edakuni Japan 14 115 0.7× 84 0.5× 95 0.8× 336 2.9× 24 0.2× 46 573
Maarten Egeler Netherlands 11 199 1.2× 145 0.9× 95 0.8× 54 0.5× 111 1.1× 29 769
Hélène Lanic France 9 41 0.3× 129 0.8× 13 0.1× 97 0.8× 41 0.4× 16 445
Clifton C. Mo United States 11 216 1.3× 177 1.1× 41 0.3× 23 0.2× 31 0.3× 44 489
Yufeng Shang China 10 131 0.8× 108 0.7× 46 0.4× 27 0.2× 53 0.5× 30 443
Joshua E. Reuss United States 13 124 0.8× 370 2.3× 51 0.4× 257 2.2× 42 0.4× 54 521

Countries citing papers authored by Benoît Roch

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Roch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Roch

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

All Works

20 of 20 papers shown
2.
Edwards, John, Niccolò Giaj‐Levra, Elena Prisciandaro, et al.. (2024). What Does N2 Lymph Node Involvement Mean for Patients with Non-Small Cell Lung Cancer (NSCLC)?—A Review of Implications for Diagnosis and Treatment. Cancers. 16(15). 2673–2673. 2 indexed citations
4.
Kapoor, Suman, Ekaterina Pisareva, Brice Pastor, et al.. (2024). Association of vascular netosis with COVID-19 severity in asymptomatic and symptomatic patients. iScience. 27(5). 109573–109573. 4 indexed citations
5.
Roch, Benoît, Ekaterina Pisareva, Cynthia Sánchez, et al.. (2023). Impact of platelet activation on the release of cell-free mitochondria and circulating mitochondrial DNA. Clinica Chimica Acta. 553. 117711–117711. 3 indexed citations
6.
Pisareva, Ekaterina, Benoît Roch, Cynthia Sánchez, et al.. (2023). Comparison of the structures and topologies of plasma extracted circulating nuclear and mitochondrial cell-free DNA. Frontiers in Genetics. 14. 1104732–1104732. 10 indexed citations
7.
Cuzzubbo, Stefania, Benoît Roch, Guillaume Darrasse-Jèze, et al.. (2022). Synthetic Melanin Acts as Efficient Peptide Carrier in Cancer Vaccine Strategy. International Journal of Molecular Sciences. 23(23). 14975–14975. 3 indexed citations
8.
Barthlott, Thomas, Adam E. Handel, Katrin Hafen, et al.. (2021). Indispensable epigenetic control of thymic epithelial cell development and function by polycomb repressive complex 2. Nature Communications. 12(1). 8 indexed citations
9.
Sánchez, Cynthia, Benoît Roch, Thibault Mazard, et al.. (2021). Circulating nuclear DNA structural features, origins, and complete size profile revealed by fragmentomics. JCI Insight. 6(7). 56 indexed citations
10.
Roch, Benoît, Vincent Abramowski, Etienne Olivier, et al.. (2021). An XRCC4 mutant mouse, a model for human X4 syndrome, reveals interplays with Xlf, PAXX, and ATM in lymphoid development. eLife. 10. 4 indexed citations
11.
Girard, Nicolas, M. Duruisseaux, Virginie Avrillon, et al.. (2020). 1349P Lorlatinib for advanced ROS1+ non-small cell lung cancer (NSCLC): Efficacy and safety data from IFCT-1803 LORLATU expanded access program (EAP) cohort. Annals of Oncology. 31. S865–S865. 1 indexed citations
12.
Coffy, Amandine, Alexandra Langlais, Jean‐Pierre Daurès, et al.. (2020). Development and Validation of a Simplified Prognostic Score in SCLC. JTO Clinical and Research Reports. 1(1). 100016–100016. 1 indexed citations
14.
Vendrell, Julie A., Julien Mazières, Isabelle Rouquette, et al.. (2019). Ultra-sensitive EGFR T790M Detection as an Independent Prognostic Marker for Lung Cancer Patients Harboring EGFR del19 Mutations and Treated with First-generation TKIs. Clinical Cancer Research. 25(14). 4280–4289. 28 indexed citations
15.
Pujol, Jean-Louis, Amandine Coffy, Andrea Camerini, et al.. (2019). An individual patient-data meta-analysis of metronomic oral vinorelbine in metastatic non-small cell lung cancer. PLoS ONE. 14(8). e0220988–e0220988. 19 indexed citations
16.
Pujol, Jean-Louis, et al.. (2018). Traitement médical du cancer bronchique à petites cellules : peut-on sortir de l’aire du cisplatine–étoposide ?. Bulletin du Cancer. 105(10). 955–966. 1 indexed citations
17.
Pujol, Jean-Louis, et al.. (2018). Qualitative study of patients’ decision-making when accepting second-line treatment after failure of first-line chemotherapy. PLoS ONE. 13(5). e0197605–e0197605. 12 indexed citations
18.
Pujol, Jean Louis, et al.. (2018). Qu’attendent les médecins spécialistes de la chimiothérapie des cancers du poumon ?. Revue des Maladies Respiratoires. 35(9). 919–928. 1 indexed citations
19.
20.
Abramowski, Vincent, Etienne Olivier, Junjie Yang, et al.. (2017). PAXX and Xlf interplay revealed by impaired CNS development and immunodeficiency of double KO mice. Cell Death and Differentiation. 25(2). 444–452. 32 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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