Philippe Lucarelli

1.2k total citations · 1 hit paper
20 papers, 777 citations indexed

About

Philippe Lucarelli is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Philippe Lucarelli has authored 20 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Philippe Lucarelli's work include TGF-β signaling in diseases (3 papers), Melanoma and MAPK Pathways (3 papers) and Cell Image Analysis Techniques (3 papers). Philippe Lucarelli is often cited by papers focused on TGF-β signaling in diseases (3 papers), Melanoma and MAPK Pathways (3 papers) and Cell Image Analysis Techniques (3 papers). Philippe Lucarelli collaborates with scholars based in Luxembourg, Germany and United Kingdom. Philippe Lucarelli's co-authors include Thomas Sauter, Mahvash Tavassoli, Nina Raulf, Elham Alsahafi, Katheryn Begg, Ivano Amelio, Ursula Klingmüller, José M. Vicencio, Selvam Thavaraj and Stacey-Ann Whittaker Brown and has published in prestigious journals such as Molecular Cell, Bioinformatics and Cancer Research.

In The Last Decade

Philippe Lucarelli

20 papers receiving 769 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical update on head and neck cancer: molecular biology and ongoing challenges

2019 369 citations Elham Alsahafi, Katheryn Begg et al. Cell Death and Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philippe Lucarelli Luxembourg	12	475	218	191	106	95	20	777
Annett Linge Germany	15	445 0.9×	321 1.5×	238 1.2×	160 1.5×	83 0.9×	42	893
Chongkui Sun China	13	337 0.7×	192 0.9×	124 0.6×	62 0.6×	125 1.3×	16	621
Yingduan Cheng China	19	815 1.7×	171 0.8×	386 2.0×	122 1.2×	73 0.8×	33	1.1k
Alice Banh United States	12	661 1.4×	170 0.8×	441 2.3×	128 1.2×	162 1.7×	14	1.1k
Catherine Del Vecchio Fitz United States	12	464 1.0×	313 1.4×	180 0.9×	113 1.1×	148 1.6×	22	941
Yumei Duan China	18	655 1.4×	301 1.4×	410 2.1×	120 1.1×	126 1.3×	41	1.1k
Gersende Alphonse France	22	684 1.4×	336 1.5×	281 1.5×	395 3.7×	81 0.9×	43	1.2k
Yee Sun Tan United States	11	523 1.1×	222 1.0×	432 2.3×	93 0.9×	201 2.1×	16	981
Margarite D. Matossian United States	14	314 0.7×	258 1.2×	136 0.7×	50 0.5×	52 0.5×	39	588

Countries citing papers authored by Philippe Lucarelli

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Lucarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Lucarelli

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

All Works

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20 of 20 papers shown

Frangež, Živa, Déborah Gérard, Zhaoyue He, et al.. (2021). ATG5 and ATG7 Expression Levels Are Reduced in Cutaneous Melanoma and Regulated by NRF1. Frontiers in Oncology. 11. 721624–721624. 24 indexed citations

Machado, Raquel A. C., et al.. (2021). L-plastin Ser5 phosphorylation is modulated by the PI3K/SGK pathway and promotes breast cancer cell invasiveness. Cell Communication and Signaling. 19(1). 22–22. 9 indexed citations

Mohapatra, Soumya R., Ahmed Sadik, Suraj Sharma, et al.. (2021). Hypoxia Routes Tryptophan Homeostasis Towards Increased Tryptamine Production. Frontiers in Immunology. 12. 590532–590532. 17 indexed citations

Müller, Ines, Elwira Stróżyk, Sebastian Schindler, et al.. (2020). Cancer Cells Employ Nuclear Caspase-8 to Overcome the p53-Dependent G2/M Checkpoint through Cleavage of USP28. Molecular Cell. 77(5). 970–984.e7. 55 indexed citations

Monzel, Anna S., Kathrin Hemmer, Tony Kaoma, et al.. (2020). Machine learning-assisted neurotoxicity prediction in human midbrain organoids. Parkinsonism & Related Disorders. 75. 105–109. 55 indexed citations

Albrecht, Marco, Philippe Lucarelli, Dagmar Kulms, & Thomas Sauter. (2020). Computational models of melanoma. Theoretical Biology and Medical Modelling. 17(1). 8–8. 12 indexed citations

Alsahafi, Elham, Katheryn Begg, Ivano Amelio, et al.. (2019). Clinical update on head and neck cancer: molecular biology and ongoing challenges. Cell Death and Disease. 10(8). 540–540. 369 indexed citations breakdown →

Nickels, Sarah, Jonas Walter, Silvia Bolognin, et al.. (2019). Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients. Parkinsonism & Related Disorders. 67. 48–55. 16 indexed citations

Raulf, Nina, Philippe Lucarelli, Selvam Thavaraj, et al.. (2018). Annexin A1 regulates EGFR activity and alters EGFR-containing tumour-derived exosomes in head and neck cancers. European Journal of Cancer. 102. 52–68. 54 indexed citations

10.

Landtsheer, Sébastien De, Philippe Lucarelli, & Thomas Sauter. (2018). Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways. Frontiers in Physiology. 9. 550–550. 3 indexed citations

11.

Lucarelli, Philippe, Ines Müller, Sébastien De Landtsheer, et al.. (2018). Systemic network analysis identifies XIAP and IκBα as potential drug targets in TRAIL resistant BRAF mutated melanoma. npj Systems Biology and Applications. 4(1). 39–39. 6 indexed citations

12.

Jørgensen, Kjetil Nordbø, Marco Albrecht, Mads H. Haugen, et al.. (2018). Stroma-induced phenotypic plasticity offers phenotype-specific targeting to improve melanoma treatment. Cancer Letters. 439. 1–13. 6 indexed citations

13.

Landtsheer, Sébastien De, Panuwat Trairatphisan, Philippe Lucarelli, & Thomas Sauter. (2017). FALCON: a toolbox for the fast contextualization of logical networks. Bioinformatics. 33(21). 3431–3436. 8 indexed citations

14.

Marwitz, Sebastian, Sofia Depner, Karin Müller‐Decker, et al.. (2016). Downregulation of the TGFβ Pseudoreceptor BAMBI in Non–Small Cell Lung Cancer Enhances TGFβ Signaling and Invasion. Cancer Research. 76(13). 3785–3801. 76 indexed citations

15.

D’Alessandro, Lorenza A., Sofia Depner, Philippe Lucarelli, et al.. (2016). Context-specific flow through the MEK/ERK module produces cell- and ligand-specific patterns of ERK single and double phosphorylation. Science Signaling. 9(413). ra13–ra13. 18 indexed citations

16.

Albrecht, Marco, Giuseppe Sciumè, Philippe Lucarelli, & Thomas Sauter. (2016). Thermodynamically constrained averaging theory for cancer growth modelling * *Horizon 2020 MSCA grant agreement No 642295 www.melplex.eu. IFAC-PapersOnLine. 49(26). 289–294. 1 indexed citations

17.

Jong, Lenneke M., Ulrike Wittig, Philippe Lucarelli, et al.. (2013). Excemplify: A Flexible Template Based Solution, Parsing and Managing Data in Spreadsheets for Experimentalists. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 10(2). 58–70. 5 indexed citations

18.

Shi, Lei, Lenneke M. Jong, Ulrike Wittig, et al.. (2013). Excemplify: A Flexible Template Based Solution, Parsing and Managing Data in Spreadsheets for Experimentalists. PubMed. 10(2). 220–220. 4 indexed citations

19.

Wegner, Katja, Anastasia Bachmann, Philippe Lucarelli, et al.. (2012). Dynamics and feedback loops in the transforming growth factor β signaling pathway. Biophysical Chemistry. 162. 22–34. 26 indexed citations

20.

Menegaldo, Luciano Luporini, et al.. (2011). On the use of information theory for detecting upper limb motor dysfunction: An application to Parkinson’s disease. Physica A Statistical Mechanics and its Applications. 390(23-24). 4451–4458. 13 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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