Marc Piechaczyk

12.0k total citations · 2 hit papers
141 papers, 10.2k citations indexed

About

Marc Piechaczyk is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Marc Piechaczyk has authored 141 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 36 papers in Oncology and 30 papers in Genetics. Recurrent topics in Marc Piechaczyk's work include Ubiquitin and proteasome pathways (48 papers), Virus-based gene therapy research (26 papers) and Cancer-related Molecular Pathways (20 papers). Marc Piechaczyk is often cited by papers focused on Ubiquitin and proteasome pathways (48 papers), Virus-based gene therapy research (26 papers) and Cancer-related Molecular Pathways (20 papers). Marc Piechaczyk collaborates with scholars based in France, United States and United Kingdom. Marc Piechaczyk's co-authors include Christian Dani, L. Marty, Jean Marie Blanchard, Philippe Fort, Ph. Jeanteur, Isabelle Jariel‐Encontre, Guillaume Bossis, Jean‐Marie Blanchard, P Jeanteur and Philippe Jeanteur and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marc Piechaczyk

139 papers receiving 9.9k citations

Hit Papers

Various rat adult tissues express only one major mRNA spe... 1985 2026 1998 2012 1985 1989 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Piechaczyk France 48 6.5k 2.0k 1.9k 1.4k 1.0k 141 10.2k
Yoji Ikawa Japan 48 7.2k 1.1× 2.3k 1.1× 2.1k 1.1× 1.6k 1.1× 1.7k 1.6× 221 11.9k
Achim Leutz Germany 51 6.5k 1.0× 1.5k 0.7× 2.5k 1.3× 1.4k 1.0× 629 0.6× 116 10.0k
Pierre J. Courtoy Belgium 60 5.2k 0.8× 1.1k 0.5× 1.9k 1.0× 926 0.7× 1.8k 1.7× 224 10.9k
Masafumi Tsujimoto Japan 59 6.8k 1.0× 2.1k 1.0× 2.2k 1.2× 704 0.5× 1.0k 1.0× 191 11.0k
Sylvie Robine France 53 6.5k 1.0× 3.1k 1.5× 1.3k 0.7× 2.1k 1.6× 1.3k 1.2× 112 11.9k
Junji Takeda Japan 61 5.7k 0.9× 1.3k 0.7× 3.8k 2.0× 1.3k 0.9× 1.6k 1.6× 171 11.7k
Steven M. Frisch United States 37 7.0k 1.1× 2.5k 1.2× 1.3k 0.7× 931 0.7× 1.8k 1.7× 60 10.1k
Michinari Hamaguchi Japan 54 6.3k 1.0× 1.7k 0.9× 1.4k 0.7× 1.1k 0.8× 2.9k 2.8× 214 10.6k
Àngel Pellicer United States 51 8.5k 1.3× 2.8k 1.4× 1.6k 0.8× 2.9k 2.1× 938 0.9× 178 12.8k
Patrick Matthias Switzerland 52 9.3k 1.4× 2.4k 1.2× 3.4k 1.8× 1.7k 1.2× 963 0.9× 109 13.6k

Countries citing papers authored by Marc Piechaczyk

Since Specialization
Citations

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

Fields of papers citing papers by Marc Piechaczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Piechaczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Piechaczyk. A scholar is included among the top collaborators of Marc Piechaczyk 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 Marc Piechaczyk. Marc Piechaczyk 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.
Piechaczyk, Marc, et al.. (2020). Ubiquitin, SUMO, and Nedd8 as Therapeutic Targets in Cancer. Advances in experimental medicine and biology. 1233. 29–54. 13 indexed citations
2.
Brockly, Frédérique, Christelle Reynès, Manuela Pastore, et al.. (2020). Ubiquitin and SUMO conjugation as biomarkers of acute myeloid leukemias response to chemotherapies. Life Science Alliance. 3(6). e201900577–e201900577. 12 indexed citations
3.
Hosseini, Mohsen, Hamid Rezvani, Nesrine Aroua, et al.. (2019). Targeting Myeloperoxidase Disrupts Mitochondrial Redox Balance and Overcomes Cytarabine Resistance in Human Acute Myeloid Leukemia. Cancer Research. 79(20). 5191–5203. 48 indexed citations
4.
Bejjani, Fabienne, Emilie Evanno, Thierry Gostan, et al.. (2019). AP-1 Signaling by Fra-1 Directly Regulates HMGA1 Oncogene Transcription in Triple-Negative Breast Cancers. Molecular Cancer Research. 17(10). 1999–2014. 15 indexed citations
5.
Hosseini, Mohsen, Sonia Zaghdoudi, Jean-Emmanuel Sarry, et al.. (2018). Targeting the SUMO Pathway Primes All- trans Retinoic Acid–Induced Differentiation of Nonpromyelocytic Acute Myeloid Leukemias. Cancer Research. 78(10). 2601–2613. 42 indexed citations
6.
Piechaczyk, Marc, et al.. (2014). Transcriptional complexity and roles of Fra-1/AP-1 at the uPA/Plau locus in aggressive breast cancer. Nucleic Acids Research. 42(17). 11011–11024. 38 indexed citations
7.
Tempé, Denis, Éric Vivès, Frédérique Brockly, et al.. (2013). SUMOylation of the inducible (c-Fos:c-Jun)/AP-1 transcription complex occurs on target promoters to limit transcriptional activation. Oncogene. 33(7). 921–927. 44 indexed citations
8.
Court, Franck, et al.. (2013). Chromatin loop organization of the junb locus in mouse dendritic cells. Nucleic Acids Research. 41(19). 8908–8925. 10 indexed citations
10.
Malnou, Cécile E., et al.. (2010). Heterodimerization with Different Jun Proteins Controls c-Fos Intranuclear Dynamics and Distribution. Journal of Biological Chemistry. 285(9). 6552–6562. 29 indexed citations
11.
Farrás, Rosa, Véronique Baldin, Claire Acquaviva, et al.. (2008). JunB Breakdown in Mid-/Late G 2 Is Required for Down-Regulation of Cyclin A2 Levels and Proper Mitosis. Molecular and Cellular Biology. 28(12). 4173–4187. 20 indexed citations
12.
Baldin, Véronique, Y. Thomas, Christine Doucet, et al.. (2008). A Novel Role for PA28γ-Proteasome in Nuclear Speckle Organization and SR Protein Trafficking. Molecular Biology of the Cell. 19(4). 1706–1716. 50 indexed citations
13.
Garaude, Johan, Rosa Farrás, Guillaume Bossis, et al.. (2008). SUMOylation Regulates the Transcriptional Activity of JunB in T Lymphocytes. The Journal of Immunology. 180(9). 5983–5990. 55 indexed citations
15.
Bossis, Guillaume, Cécile E. Malnou, Rosa Farrás, et al.. (2005). Down-Regulation of c-Fos/c-Jun AP-1 Dimer Activity by Sumoylation. Molecular and Cellular Biology. 25(16). 6964–6979. 161 indexed citations
16.
Dreja, Hanna, et al.. (2004). Effects of virion surface gp120 density on infection by HIV-1 and viral production by infected cells. Virology. 332(1). 418–429. 24 indexed citations
17.
Pelegrín, Mireia, et al.. (2002). Efficient Gene Transfer into Spleen Cells of Newborn Mice by a Replication-Competent Retroviral Vector. Virology. 293(2). 328–334. 10 indexed citations
18.
Pariât, Magali, Serge Carillo, Marta Molinari, et al.. (1997). Proteolysis by Calpains: a Possible Contribution to Degradation of p53. Molecular and Cellular Biology. 17(5). 2806–2815. 138 indexed citations
20.
Mechti, Nadir, Marc Piechaczyk, Jean‐Marie Blanchard, Philippe Jeanteur, & Bernard Lebleu. (1991). Sequence Requirements for Premature Transcription Arrest within the First Intron of the Mouse c- fos Gene. Molecular and Cellular Biology. 11(5). 2832–2841. 20 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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