Mathieu Pecqueux
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
- Oncology 7
- Inflammatory Biomarkers in Disease Prognosis 2
- Cancer Cells and Metastasis 1
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- Phagocytosis and Immune Regulation 1
- 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)
In The Last Decade
Mathieu Pecqueux
21 papers receiving 427 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 20
- Cancer Research 115
- Oncology 112
- Molecular Biology 167
- Physiology 10
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 47 | |
| 2 | 2021 | 47 | |
| 3 | 2024 | 46 | |
| 4 | 2018 | 42 | |
| 5 | 2015 | 34 | |
| 6 | 2015 | 32 | |
| 7 | 2013 | 31 | |
| 8 | 2022 | 30 | |
| 9 | 2017 | 27 | |
| 10 | 2023 | 24 | |
| 11 | 2016 | 18 | |
| 12 | 2019 | 15 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 9 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 1992 | 2 |
About Mathieu Pecqueux
Mathieu Pecqueux is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Health Informatics, having authored 21 papers that have together received 432 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Circular RNAs in diseases (2 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper), MicroRNA in disease regulation (1 paper), Cancer Cells and Metastasis (1 paper), Phagocytosis and Immune Regulation (1 paper) and Sodium Intake and Health (1 paper). The work is most often cited by research in Health Informatics (20 citations), Cancer Research (115 citations), Oncology (112 citations), Molecular Biology (167 citations) and Physiology (10 citations). Mathieu Pecqueux has collaborated with scholars based in Germany, Belgium and Australia. Frequent co-authors include Jürgen Weitz, Christoph Kahlert, Christoph Reißfelder, Nuh N. Rahbari, Jochen Schmitt, Freya Trautmann, Sebastian Schölch, Johannes Fritzmann, Felix Lasitschka and Christian P. Pilarsky. Their work appears in journals such as Langenbeck s Archives of Surgery, BMC Cancer, Oncotarget, British Journal of Cancer and European Journal of Surgical Oncology.
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.