Marc Piechaczyk
- Molecular Biology top 0.5%
- Ubiquitin and proteasome pathways 48
- RNA Research and Splicing 14
- Viral Infectious Diseases and Gene Expression in Insects 13
- Genomics and Chromatin Dynamics 11
- RNA and protein synthesis mechanisms 10
- Immunology top 1%
- Hematology top 1%
- Oncology top 1%
- Cancer-related Molecular Pathways 20
- Cancer Research top 2%
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- Virus-based gene therapy research 26
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Christian DaniL. MartyJean Marie BlanchardPhilippe FortPh. JeanteurIsabelle Jariel‐EncontreGuillaume BossisJean‐Marie Blanchard
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Marc Piechaczyk
139 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 6.5k
- Immunology 1.9k
- Hematology 854
- Oncology 2.0k
- Cancer Research 1.0k
Countries citing papers authored by Marc Piechaczyk
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
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
The 25 scholars most cited alongside Marc Piechaczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 12 | |
| 2 | 2020 | 13 | |
| 3 | 2019 | 48 | |
| 4 | 2019 | 15 | |
| 5 | 2018 | 42 | |
| 6 | 2014 | 38 | |
| 7 | 2013 | 10 | |
| 8 | 2013 | 44 | |
| 9 | 2010 | 29 | |
| 10 | 2010 | 29 | |
| 11 | 2008 | 20 | |
| 12 | 2008 | 55 | |
| 13 | 2008 | 50 | |
| 14 | 2007 | 46 | |
| 15 | 2005 | 161 | |
| 16 | 2004 | 24 | |
| 17 | 2002 | 10 | |
| 18 | 1997 | 138 | |
| 19 | 1995 | 7 | |
| 20 | 1991 | 20 |
About Marc Piechaczyk
Marc Piechaczyk is a scholar working on Molecular Biology, Immunology and Oncology, having authored 141 papers that have together received 10.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (48 papers), Virus-based gene therapy research (26 papers), Cancer-related Molecular Pathways (20 papers), RNA Research and Splicing (14 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), Genomics and Chromatin Dynamics (11 papers), RNA and protein synthesis mechanisms (10 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Immunology (1.9k citations) and Hematology (854 citations). Marc Piechaczyk has collaborated with scholars based in France, United States and United Kingdom. Frequent 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. Their work appears in journals such as Oncogene, Nucleic Acids Research, Journal of Virology, Molecular and Cellular Biology and Journal of Biological Chemistry.
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.