Mathieu Pecqueux
Impact in
- Health Informatics top 10%
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
- Oncology 6
- Inflammatory Biomarkers in Disease Prognosis 2
- Pancreatic and Hepatic Oncology Research 1
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- Circular RNAs in diseases 2
- Extracellular vesicles in disease 2
- Co-authors
- Jürgen Weitz (15 shared papers)Christoph Kahlert (14 shared papers)Christoph Reißfelder (7 shared papers)Nuh N. Rahbari (8 shared papers)Jochen Schmitt (2 shared papers)Freya Trautmann (1 shared paper)Sebastian Schölch (4 shared papers)Johannes Fritzmann (4 shared papers)
- Journals
- Langenbeck s Archives of Surgery (3 papers)Oncotarget (2 papers)BMC Cancer (2 papers)Frontiers in Public Health (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Mathieu Pecqueux
18 papers receiving 332 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 14
- Cancer Research 98
- Oncology 89
- Molecular Biology 130
- Pulmonary and Respiratory Medicine 43
Countries citing papers authored by Mathieu Pecqueux
This map shows the geographic impact of Mathieu Pecqueux'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 Mathieu Pecqueux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Pecqueux more than expected).
Fields of papers citing papers by Mathieu Pecqueux
This network shows the impact of papers produced by Mathieu Pecqueux. 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 Mathieu Pecqueux. The network helps show where Mathieu Pecqueux may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Pecqueux, 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 | 2014 | 46 | |
| 2 | 2021 | 44 | |
| 3 | 2018 | 40 | |
| 4 | 2015 | 33 | |
| 5 | 2013 | 31 | |
| 6 | 2015 | 31 | |
| 7 | 2017 | 27 | |
| 8 | 2022 | 22 | |
| 9 | 2016 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2017 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 1992 | 2 | |
| 18 | 2023 | 1 |
About Mathieu Pecqueux
Mathieu Pecqueux is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 18 papers that have together received 335 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (2 papers), Circular RNAs in diseases (2 papers), Extracellular vesicles in disease (2 papers), Ferroptosis and cancer prognosis (1 paper), Sodium Intake and Health (1 paper), Galectins and Cancer Biology (1 paper), Digestive system and related health (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Health Informatics (14 citations), Cancer Research (98 citations), Oncology (89 citations), Molecular Biology (130 citations) and Pulmonary and Respiratory Medicine (43 citations). Mathieu Pecqueux has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Jürgen Weitz, Christoph Kahlert, Christoph Reißfelder, Nuh N. Rahbari, Jochen Schmitt, Freya Trautmann, Sebastian Schölch, Johannes Fritzmann, Franziska Baenke and Niels Halama. Their work appears in journals such as Langenbeck s Archives of Surgery, Oncotarget, BMC Cancer, Frontiers in Public Health and International Journal of Cancer.
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.