Christophe D. Chabbert

617 total citations
13 papers, 319 citations indexed

About

Christophe D. Chabbert is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Christophe D. Chabbert has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Christophe D. Chabbert's work include Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). Christophe D. Chabbert is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). Christophe D. Chabbert collaborates with scholars based in United States, Germany and United Kingdom. Christophe D. Chabbert's co-authors include Lars M. Steinmetz, Bernd Klaus, E. Fritsch, Vicent Pelechano, Gemma N. Jones, Paul W.G. Wijnhoven, Lucy A. Young, Neil H. James, Alan Lau and Antonio Ramos‐Montoya and has published in prestigious journals such as Cancer Research, Oncogene and Genetics.

In The Last Decade

Christophe D. Chabbert

11 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe D. Chabbert United States 7 266 109 30 28 25 13 319
Naoko Sogame United States 4 272 1.0× 110 1.0× 12 0.4× 52 1.9× 27 1.1× 4 324
Ellis L. Ryan United Kingdom 5 230 0.9× 77 0.7× 15 0.5× 19 0.7× 32 1.3× 5 305
Sara Sánchez-Molina Spain 9 399 1.5× 57 0.5× 17 0.6× 23 0.8× 38 1.5× 13 452
Bofeng Liu China 10 238 0.9× 41 0.4× 21 0.7× 20 0.7× 47 1.9× 19 307
Lynn Lehmann United States 8 317 1.2× 44 0.4× 13 0.4× 20 0.7× 47 1.9× 9 406
Alicia Farmer United States 5 379 1.4× 47 0.4× 13 0.4× 20 0.7× 20 0.8× 5 436
Ja’Neil G. Humphrey United States 5 214 0.8× 36 0.3× 15 0.5× 47 1.7× 26 1.0× 8 373
Yurina Hibi Japan 10 226 0.8× 78 0.7× 11 0.4× 83 3.0× 14 0.6× 18 343
Cristina Pelizon Italy 9 452 1.7× 106 1.0× 15 0.5× 13 0.5× 62 2.5× 10 504
Hae-Kyung Lee South Korea 10 246 0.9× 64 0.6× 10 0.3× 69 2.5× 21 0.8× 14 348

Countries citing papers authored by Christophe D. Chabbert

Since Specialization
Citations

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

Fields of papers citing papers by Christophe D. Chabbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christophe D. Chabbert. 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 Christophe D. Chabbert. The network helps show where Christophe D. Chabbert may publish in the future.

Co-authorship network of co-authors of Christophe D. Chabbert

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

All Works

13 of 13 papers shown
1.
Makarov, Vladimir, et al.. (2024). Good machine learning practices: Learnings from the modern pharmaceutical discovery enterprise. Computers in Biology and Medicine. 177. 108632–108632. 3 indexed citations
2.
Markolin, Philipp, Natalie R. Davidson, Christian Hirt, et al.. (2021). Identification of HIF-dependent alternative splicing in gastrointestinal cancers and characterization of a long, coding isoform of SLC35A3. Genomics. 113(2). 515–529. 4 indexed citations
3.
Wijnhoven, Paul W.G., Antonio Ramos‐Montoya, Zena Wilson, et al.. (2020). Combined PARP and ATR inhibition potentiates genome instability and cell death in ATM-deficient cancer cells. Oncogene. 39(25). 4869–4883. 126 indexed citations
4.
Wu, Wei, Bianca P. Hennig, Yujie Zhang, et al.. (2019). Chromatin-sensitive cryptic promoters putatively drive expression of alternative protein isoforms in yeast. Genome Research. 29(12). 1974–1984. 19 indexed citations
5.
Wijnhoven, Paul W.G., Christophe D. Chabbert, Jonathan Stott, et al.. (2018). Abstract 337: The PARP inhibitor olaparib is synergistic with the ATR inhibitor AZD6738 in ATM deficient cancer cells. Cancer Research. 78(13_Supplement). 337–337. 6 indexed citations
6.
Kovacs, Werner J., Anja Irmisch, Reinhard Dummer, et al.. (2018). PO-241 Targeting fatty acid oxidation and glycolysis to overcome drug resistance to MAPK inhibitors. ESMO Open. 3. A114–A114.
7.
Chabbert, Christophe D., et al.. (2017). Multiplexed ChIP-Seq Using Direct Nucleosome Barcoding: A Tool for High-Throughput Chromatin Analysis. Methods in molecular biology. 1689. 177–194. 5 indexed citations
8.
Chabbert, Christophe D., et al.. (2016). Landscape and Dynamics of Transcription Initiation in the Malaria Parasite Plasmodium falciparum. Cell Reports. 14(10). 2463–2475. 45 indexed citations
9.
Chabbert, Christophe D., Lars M. Steinmetz, & Bernd Klaus. (2016). DChIPRep , an R/Bioconductor package for differential enrichment analysis in chromatin studies. PeerJ. 4. e1981–e1981. 3 indexed citations
10.
Chabbert, Christophe D., Bernd Klaus, E. Fritsch, et al.. (2015). A high‐throughput C h IP ‐ S eq for large‐scale chromatin studies. Molecular Systems Biology. 11(1). 777–777. 21 indexed citations
11.
Fritsch, E., Christophe D. Chabbert, Bernd Klaus, & Lars M. Steinmetz. (2014). A Genome-Wide Map of Mitochondrial DNA Recombination in Yeast. Genetics. 198(2). 755–771. 62 indexed citations
12.
Chabbert, Christophe D., et al.. (2001). Petrusmok de Malcolm de Chazal : radioscopie d'un "roman mythique". L'Harmattan eBooks.
13.

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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