Maarten Vercruysse
- Molecular Biology
- Molecular Medicine top 2%
- Genetics top 10%
- Infectious Diseases
- Endocrinology top 5%
- Co-authors
- Graham C. WalkerPeter BelenkyJeffrey D. MartellNoriko TakahashiJason H. YangJames J. CollinsMekhala PatiKyle R. Allison
- Topics
- Antibiotic Resistance in Bacteria (5 papers)Cancer therapeutics and mechanisms (3 papers)Bacterial Genetics and Biotechnology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Maarten Vercruysse
11 papers receiving 942 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 500
- Molecular Medicine 288
- Genetics 208
- Infectious Diseases 100
- Endocrinology 96
Countries citing papers authored by Maarten Vercruysse
This map shows the geographic impact of Maarten Vercruysse'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 Maarten Vercruysse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Vercruysse more than expected).
Fields of papers citing papers by Maarten Vercruysse
This network shows the impact of papers produced by Maarten Vercruysse. 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 Maarten Vercruysse. The network helps show where Maarten Vercruysse may publish in the future.
Co-authorship network of co-authors of Maarten Vercruysse
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Vercruysse. A scholar is included among the top collaborators of Maarten Vercruysse 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 Maarten Vercruysse. Maarten Vercruysse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 11 | |
| 6 | 67 | |
| 7 | C21orf57 is a human homologue of bacterial YbeY proteins | 4 |
| 8 | 13 | |
| 9 | 35 | |
| 10 | Antibiotics induce redox-related physiological alterations as part of their lethalitybreakdown → | 695 |
| 11 | 46 | |
| 12 | 57 |
About Maarten Vercruysse
Maarten Vercruysse is a scholar working on Molecular Medicine, Endocrinology and Pharmacology, having authored 12 papers that have together received 957 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Cancer therapeutics and mechanisms (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Molecular Medicine (288 citations), Endocrinology (96 citations) and Microbiology (76 citations). Maarten Vercruysse has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Graham C. Walker, Peter Belenky, Jeffrey D. Martell, Noriko Takahashi, Jason H. Yang, James J. Collins, Mekhala Pati, Kyle R. Allison, Dana Braff and Alice Y. Ting. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.
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.