Filip de Vin

1.5k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Filip de Vin is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Filip de Vin has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Genetics. Recurrent topics in Filip de Vin's work include CRISPR and Genetic Engineering (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Filip de Vin is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Filip de Vin collaborates with scholars based in Belgium, United Kingdom and Japan. Filip de Vin's co-authors include Luc De Vuyst, Bart Degeest, Frederik Vaningelgem, Matthew G. Holt, T. Grant Belgard, Mykhailo Y. Batiuk, Araks Martirosyan, João Filipe Oliveira, Jérôme Wahis and Thierry Voet and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Applied and Environmental Microbiology.

In The Last Decade

Filip de Vin

7 papers receiving 975 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of region-specific astrocyte subtypes at single cell resolution

2020 499 citations Mykhailo Y. Batiuk, Araks Martirosyan et al. Nature Communications profile →

Peers

Filip de Vin

MB

NEURO

FS

ND

CMN

Hye Sun Choi South Korea

Michail H. Karavolos United Kingdom

Yawei J. Yang United States

Hoa Dang United States

Pilar Rojas Spain

Nathalie Dugas France

Jichao Yuan China

J. M. Greenwood New Zealand

Kaihua Guo China

Preston A. Baecker United States

Hye Sun Choi South Korea

Filip de Vin

213 ×0.6

MB

104 ×0.3

NEURO

223 ×0.8

FS

142 ×0.7

ND

131 ×0.7

CMN

Citations per year, relative to Filip de Vin Filip de Vin (= 1×) peers Hye Sun Choi

Countries citing papers authored by Filip de Vin

Since Specialization

Citations

This map shows the geographic impact of Filip de Vin'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 Filip de Vin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip de Vin more than expected).

Fields of papers citing papers by Filip de Vin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filip de Vin. 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 Filip de Vin. The network helps show where Filip de Vin may publish in the future.

Co-authorship network of co-authors of Filip de Vin

This figure shows the co-authorship network connecting the top 25 collaborators of Filip de Vin. A scholar is included among the top collaborators of Filip de Vin 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 Filip de Vin. Filip de Vin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Edwards‐Faret, Gabriela, Filip de Vin, Michał Ślęzak, et al.. (2022). A New Technical Approach for Cross-species Examination of Neuronal Wiring and Adult Neuron-glia Functions. Neuroscience. 508. 40–51. 3 indexed citations

2.

Batiuk, Mykhailo Y., Araks Martirosyan, Jérôme Wahis, et al.. (2020). Identification of region-specific astrocyte subtypes at single cell resolution. Nature Communications. 11(1). 1220–1220. 499 indexed citations breakdown →

3.

Rincón, Melvin Y., et al.. (2018). Widespread transduction of astrocytes and neurons in the mouse central nervous system after systemic delivery of a self-complementary AAV-PHP.B vector. Gene Therapy. 25(2). 83–92. 42 indexed citations

4.

Batiuk, Mykhailo Y., Filip de Vin, Sandra Duqué, et al.. (2017). An immunoaffinity-based method for isolating ultrapure adult astrocytes based on ATP1B2 targeting by the ACSA-2 antibody. Journal of Biological Chemistry. 292(21). 8874–8891. 62 indexed citations

5.

Vin, Filip de, Peter Rutherford, & Dirk Faict. (2009). Intraperitoneal Administration of Drugs in Peritoneal Dialysis Patients: A Review of Compatibility and Guidance for Clinical Use. Peritoneal Dialysis International. 29(1). 5–15. 50 indexed citations

6.

Vin, Filip de, Peter Rådström, Lieve Herman, & Luc De Vuyst. (2005). Molecular and Biochemical Analysis of the Galactose Phenotype of Dairy Streptococcus thermophilus Strains Reveals Four Different Fermentation Profiles. Applied and Environmental Microbiology. 71(7). 3659–3667. 62 indexed citations

7.

Vuyst, Luc De, Filip de Vin, Frederik Vaningelgem, & Bart Degeest. (2001). Recent developments in the biosynthesis and applications of heteropolysaccharides from lactic acid bacteria. International Dairy Journal. 11(9). 687–707. 283 indexed citations

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.

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