Fabian Vandermeers
- Immunology top 10%
- Agronomy and Crop Science top 2%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Oncology
- Co-authors
- Luc WillemsArsène BurnyRichard KettmannArnaud FlorinsNicolas GilletAmel‐Baya BouzarM. ReichertMathieu Boxus
- Topics
- Histone Deacetylase Inhibitors Research (6 papers)T-cell and Retrovirus Studies (4 papers)Vector-Borne Animal Diseases (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Fabian Vandermeers
13 papers receiving 631 citations
Peers
Comparison fields: 5 of 67
- Immunology 359
- Agronomy and Crop Science 272
- Molecular Biology 228
- Ecology, Evolution, Behavior and Systematics 215
- Oncology 117
Countries citing papers authored by Fabian Vandermeers
This map shows the geographic impact of Fabian Vandermeers'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 Fabian Vandermeers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Vandermeers more than expected).
Fields of papers citing papers by Fabian Vandermeers
This network shows the impact of papers produced by Fabian Vandermeers. 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 Fabian Vandermeers. The network helps show where Fabian Vandermeers may publish in the future.
Co-authorship network of co-authors of Fabian Vandermeers
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Vandermeers. A scholar is included among the top collaborators of Fabian Vandermeers 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 Fabian Vandermeers. Fabian Vandermeers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 40 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 32 | |
| 7 | 73 | |
| 8 | A new treatment combining valproate acid (VA) plus doxorubicin (D) for patients with refractory or recurrent malignant mesothelioma (MM): a phase II study | 0 |
| 9 | 100 | |
| 10 | Implication des modifications épigénétiques dans les cancers : développement de nouvelles approches thérapeutiques | 1 |
| 11 | 31 | |
| 12 | 289 | |
| 13 | mTOR inhibitor sensitizes chemo-cytotoxicity for hepatocellular carcinoma | 1 |
| 14 | 56 |
About Fabian Vandermeers
Fabian Vandermeers is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Immunology, having authored 14 papers that have together received 645 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), T-cell and Retrovirus Studies (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Agronomy and Crop Science (272 citations), Immunology (359 citations) and Ecology, Evolution, Behavior and Systematics (215 citations). Fabian Vandermeers has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Luc Willems, Arsène Burny, Richard Kettmann, Arnaud Florins, Nicolas Gillet, Amel‐Baya Bouzar, M. Reichert, Mathieu Boxus, Julien Defoiche and Annamaria Nigro. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer Research.
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.