Emmanuel Compe

1.9k total citations
35 papers, 1.5k citations indexed

About

Emmanuel Compe is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Emmanuel Compe has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Emmanuel Compe's work include DNA Repair Mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and RNA modifications and cancer (4 papers). Emmanuel Compe is often cited by papers focused on DNA Repair Mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and RNA modifications and cancer (4 papers). Emmanuel Compe collaborates with scholars based in France, United States and Italy. Emmanuel Compe's co-authors include Jean‐Marc Egly, Pierre Chymkowitch, Frédéric Coin, Pascal Drané, Cathy Braun, Carlos Mario Genes Robles, Nicolas Le May, Pierre Charneau, Karin E. M. Diderich and Shinsuke Ito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Emmanuel Compe

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Compe France 19 1.2k 255 215 208 114 35 1.5k
H P Koeffler United States 23 837 0.7× 508 2.0× 303 1.4× 156 0.8× 110 1.0× 35 1.8k
Teresa Ezponda United States 15 1.4k 1.2× 323 1.3× 142 0.7× 393 1.9× 145 1.3× 29 2.1k
Amnon Altman United States 11 836 0.7× 274 1.1× 55 0.3× 192 0.9× 110 1.0× 16 1.5k
Alexa S. Green France 17 1.0k 0.9× 276 1.1× 62 0.3× 192 0.9× 53 0.5× 28 1.6k
Mattia Frontini United Kingdom 24 1.0k 0.9× 176 0.7× 228 1.1× 193 0.9× 66 0.6× 42 1.5k
Xunlei Kang United States 18 1.1k 1.0× 445 1.7× 146 0.7× 468 2.3× 70 0.6× 30 1.9k
Zhenbo Hu China 24 1.4k 1.2× 193 0.8× 75 0.3× 220 1.1× 149 1.3× 83 1.8k
Aneta Kasza Poland 17 734 0.6× 172 0.7× 60 0.3× 363 1.7× 70 0.6× 33 1.1k

Countries citing papers authored by Emmanuel Compe

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Compe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Compe

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Compe. A scholar is included among the top collaborators of Emmanuel Compe 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 Emmanuel Compe. Emmanuel Compe 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
1.
Nieminuszczy, Jadwiga, Cathy Braun, Sergey Alekseev, et al.. (2023). Active mRNA degradation by EXD2 nuclease elicits recovery of transcription after genotoxic stress. Nature Communications. 14(1). 341–341. 4 indexed citations
2.
Gambi, Giovanni, Guillaume Davidson, Stéphanie Le Gras, et al.. (2023). Super-enhancer-driven expression of BAHCC1 promotes melanoma cell proliferation and genome stability. Cell Reports. 42(11). 113363–113363. 8 indexed citations
3.
Martínez, Marta, Gema Santamaría Núñez, Juan Ignacio Díaz‐Hernandéz, et al.. (2022). Promoters of ASCL1‐ and NEUROD1‐dependent genes are specific targets of lurbinectedin in SCLC cells. EMBO Molecular Medicine. 14(4). e14841–e14841. 26 indexed citations
4.
Bielska, Olga, Stéphane Schmucker, Yansheng Liu, et al.. (2021). A PKD-MFF signaling axis couples mitochondrial fission to mitotic progression. Cell Reports. 35(7). 109129–109129. 25 indexed citations
5.
Hashimoto, Satoru, Hiroki Takanari, Emmanuel Compe, & Jean‐Marc Egly. (2020). Dysregulation of LXR responsive genes contribute to ichthyosis in trichothiodystrophy. Journal of Dermatological Science. 97(3). 201–207. 5 indexed citations
6.
Compe, Emmanuel, Carlos Mario Genes Robles, Cathy Braun, Frédéric Coin, & Jean‐Marc Egly. (2019). TFIIE orchestrates the recruitment of the TFIIH kinase module at promoter before release during transcription. Nature Communications. 10(1). 2084–2084. 39 indexed citations
7.
Núñez, Gema Santamaría, Carlos Mario Genes Robles, Juan Fernando Martínez-Leal, et al.. (2016). Lurbinectedin Specifically Triggers the Degradation of Phosphorylated RNA Polymerase II and the Formation of DNA Breaks in Cancer Cells. Molecular Cancer Therapeutics. 15(10). 2399–2412. 114 indexed citations
8.
Compe, Emmanuel & Jean‐Marc Egly. (2016). Nucleotide Excision Repair and Transcriptional Regulation: TFIIH and Beyond. Annual Review of Biochemistry. 85(1). 265–290. 124 indexed citations
9.
Compe, Emmanuel & Jean‐Marc Egly. (2012). TFIIH: when transcription met DNA repair. Nature Reviews Molecular Cell Biology. 13(6). 343–354. 234 indexed citations
10.
Orioli, Donata, Emmanuel Compe, Tiziana Nardò, et al.. (2012). XPD mutations in trichothiodystrophy hamper collagen VI expression and reveal a role of TFIIH in transcription derepression. Human Molecular Genetics. 22(6). 1061–1073. 18 indexed citations
11.
Chymkowitch, Pierre, Nicolas Le May, Pierre Charneau, Emmanuel Compe, & Jean‐Marc Egly. (2010). The phosphorylation of the androgen receptor by TFIIH directs the ubiquitin/proteasome process. The EMBO Journal. 30(3). 468–479. 99 indexed citations
12.
Ueda, Takahiro, et al.. (2009). Both XPD alleles contribute to the phenotype of compound heterozygote xeroderma pigmentosum patients. The Journal of Experimental Medicine. 206(13). 3031–3046. 35 indexed citations
13.
Ito, Shinsuke, Isao Kuraoka, Pierre Chymkowitch, et al.. (2007). XPG Stabilizes TFIIH, Allowing Transactivation of Nuclear Receptors: Implications for Cockayne Syndrome in XP-G/CS Patients. Molecular Cell. 26(2). 231–243. 146 indexed citations
14.
Compe, Emmanuel, Monica Malerba, Luc Soler, et al.. (2007). Neurological defects in trichothiodystrophy reveal a coactivator function of TFIIH. Nature Neuroscience. 10(11). 1414–1422. 71 indexed citations
15.
Drané, Pascal, et al.. (2004). Selective Regulation of Vitamin D Receptor-Responsive Genes by TFIIH. Molecular Cell. 16(2). 187–197. 58 indexed citations
16.
Tourniaire, Franck, et al.. (2004). Nelfinavir Induces Necrosis of 3T3F44-2A Adipocytes by Oxidative Stress. JAIDS Journal of Acquired Immune Deficiency Syndromes. 37(5). 1556–1562. 14 indexed citations
17.
Roche, Régis, Isabelle Poizot‐Martin, Emmanuel Compe, et al.. (2002). Effects of antiretroviral drug combinations on the differentiation of adipocytes. AIDS. 16(1). 13–20. 60 indexed citations
18.
19.
Boyault, Sandrine, Arnaud Bianchi, Emmanuel Compe, et al.. (2001). 15‐Deoxy‐Δ12,14‐PGJ2, but not troglitazone, modulates IL‐1β effects in human chondrocytes by inhibiting NF‐κB and AP‐1 activation pathways. FEBS Letters. 501(1). 24–30. 87 indexed citations
20.
Sennoune, Souad R., Alain Gerbi, Joël-Paul Grillasca, et al.. (2000). Effect of streptozotocin‐induced diabetes on rat liver Na+/K+‐ATPase. European Journal of Biochemistry. 267(7). 2071–2078. 26 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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