Fong Kuan Wong

1.7k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Fong Kuan Wong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Fong Kuan Wong has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Fong Kuan Wong's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Fong Kuan Wong is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Fong Kuan Wong collaborates with scholars based in United Kingdom, Germany and United States. Fong Kuan Wong's co-authors include Òscar Marín, Wieland Β. Huttner, Elena Taverna, Christiane Haffner, Marian Fernández-Otero, Varun Sreenivasan, Kinga Bercsényi, Kay Prüfer, Robert Lachmann and Jula Peters and has published in prestigious journals such as Nature, Science and Development.

In The Last Decade

Fong Kuan Wong

15 papers receiving 1.1k 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.

Human-specific gene ARHGAP11B promotes basal progenitor amplification and neocortex expansion

2015 408 citations Marta Florio, Mareike Albert et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fong Kuan Wong United Kingdom	11	653	383	298	175	143	15	1.1k
Ryann M. Fame United States	15	521 0.8×	341 0.9×	559 1.9×	228 1.3×	246 1.7×	24	1.3k
Pierre Flandin United States	8	482 0.7×	392 1.0×	346 1.2×	184 1.1×	105 0.7×	8	903
Matthew B. Johnson United States	13	920 1.4×	310 0.8×	271 0.9×	212 1.2×	189 1.3×	16	1.4k
Ingo Bormuth Germany	10	611 0.9×	363 0.9×	556 1.9×	126 0.7×	91 0.6×	12	1.2k
Myrto Denaxa Greece	13	598 0.9×	546 1.4×	673 2.3×	210 1.2×	273 1.9×	21	1.3k
Euiseok J. Kim United States	12	637 1.0×	469 1.2×	466 1.6×	110 0.6×	330 2.3×	16	1.3k
Diego Echevarrı́a Spain	16	986 1.5×	294 0.8×	445 1.5×	228 1.3×	86 0.6×	40	1.5k
Hari Padmanabhan United States	9	613 0.9×	359 0.9×	370 1.2×	156 0.9×	174 1.2×	14	996
Gina E. Elsen United States	13	555 0.8×	300 0.8×	201 0.7×	189 1.1×	126 0.9×	15	827
Ludovic Telley Switzerland	15	741 1.1×	344 0.9×	551 1.8×	96 0.5×	207 1.4×	21	1.3k

Countries citing papers authored by Fong Kuan Wong

Since Specialization

Citations

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

Fields of papers citing papers by Fong Kuan Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fong Kuan Wong. 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 Fong Kuan Wong. The network helps show where Fong Kuan Wong may publish in the future.

Co-authorship network of co-authors of Fong Kuan Wong

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

All Works

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15 of 15 papers shown

1.

Morgan, James J., et al.. (2025). Activity-dependent regulation of microglia numbers by pyramidal cells during development shape cortical functions. Science Advances. 11(8). eadq5842–eadq5842. 2 indexed citations

2.

Wong, Fong Kuan & Emilia Favuzzi. (2023). The brain's polymath: Emerging roles of microglia throughout brain development. Current Opinion in Neurobiology. 79. 102700–102700. 7 indexed citations

3.

Wong, Fong Kuan, Martijn Selten, Varun Sreenivasan, et al.. (2022). Serotonergic regulation of bipolar cell survival in the developing cerebral cortex. Cell Reports. 40(1). 111037–111037. 13 indexed citations

4.

Ciceri, Gabriele, Robert Beattie, Fong Kuan Wong, et al.. (2019). A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture. eLife. 8. 68 indexed citations

5.

Wong, Fong Kuan & Òscar Marín. (2019). Developmental Cell Death in the Cerebral Cortex. Annual Review of Cell and Developmental Biology. 35(1). 523–542. 86 indexed citations

6.

Wong, Fong Kuan, et al.. (2018). Pyramidal cell regulation of interneuron survival sculpts cortical networks. Nature. 557(7707). 668–673. 175 indexed citations

7.

Kalebic, Nereo, Elena Taverna, Fong Kuan Wong, et al.. (2016). CRISPR /Cas9‐induced disruption of gene expression in mouse embryonic brain and single neural stem cells in vivo. EMBO Reports. 17(3). 338–348. 66 indexed citations

8.

Florio, Marta, Mareike Albert, Elena Taverna, et al.. (2015). Human-specific gene ARHGAP11B promotes basal progenitor amplification and neocortex expansion. Science. 347(6229). 1465–1470. 408 indexed citations breakdown →

9.

Wong, Fong Kuan, Ji‐Feng Fei, Felipe Mora‐Bermúdez, et al.. (2015). Sustained Pax6 Expression Generates Primate-like Basal Radial Glia in Developing Mouse Neocortex. PLoS Biology. 13(8). e1002217–e1002217. 72 indexed citations

10.

Wong, Fong Kuan, Christiane Haffner, Wieland Β. Huttner, & Elena Taverna. (2014). Microinjection of membrane-impermeable molecules into single neural stem cells in brain tissue. Nature Protocols. 9(5). 1170–1182. 30 indexed citations

11.

Stenzel, Denise, Michaela Wilsch‐Bräuninger, Fong Kuan Wong, Heike Heuer, & Wieland Β. Huttner. (2014). Integrin αvβ3 and thyroid hormones promote expansion of progenitors in embryonic neocortex. Development. 141(4). 795–806. 94 indexed citations

12.

Stenzel, Denise, Michaela Wilsch‐Bräuninger, Fong Kuan Wong, Heike Heuer, & Wieland Β. Huttner. (2014). Integrin αvβ3 and thyroid hormones promote expansion of progenitors in embryonic neocortex. Development. 141(6). 1419–1419. 3 indexed citations

13.

Wong, Fong Kuan, et al.. (2010). Rasagiline improves learning and memory in young healthy rats. Behavioural Pharmacology. 21(4). 278–282. 10 indexed citations

14.

Wong, Fong Kuan, et al.. (2009). Effect of donepezil on reversal learning in a touch screen-based operant task. Behavioural Pharmacology. 20(7). 653–656. 5 indexed citations

15.

Atcha, Zeenat, et al.. (2009). Cognitive enhancing effects of ghrelin receptor agonists. Psychopharmacology. 206(3). 415–427. 66 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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