Fu-Wah Chan

818 total citations
9 papers, 647 citations indexed

About

Fu-Wah Chan is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fu-Wah Chan has authored 9 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fu-Wah Chan's work include Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (2 papers) and Visual perception and processing mechanisms (2 papers). Fu-Wah Chan is often cited by papers focused on Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (2 papers) and Visual perception and processing mechanisms (2 papers). Fu-Wah Chan collaborates with scholars based in Canada and United States. Fu-Wah Chan's co-authors include Sachio Takashima, L. E. Becker, Don Armstrong, Laurence E. Becker, Dawna L. Armstrong, Venita Jay, K Takada, David Malkin and Laurence E. Becker and has published in prestigious journals such as PEDIATRICS, Annals of Neurology and Brain Research.

In The Last Decade

Fu-Wah Chan

9 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fu-Wah Chan Canada	8	240	229	182	135	130	9	647
B Schmidt-Sidor Poland	12	187 0.8×	204 0.9×	145 0.8×	39 0.3×	45 0.3×	36	606
A. C. Warren United States	9	201 0.8×	286 1.2×	222 1.2×	43 0.3×	25 0.2×	15	611
Atsushi Shimohata Japan	10	212 0.9×	246 1.1×	181 1.0×	71 0.5×	117 0.9×	15	519
James Nguyen United States	7	207 0.9×	151 0.7×	205 1.1×	114 0.8×	105 0.8×	15	496
Karen Bonde Larsen Denmark	9	80 0.3×	148 0.6×	82 0.5×	63 0.5×	56 0.4×	17	412
Phan Q. Duy United States	17	53 0.2×	286 1.2×	147 0.8×	79 0.6×	340 2.6×	57	826
Matthieu Raveau Japan	10	212 0.9×	232 1.0×	229 1.3×	99 0.7×	93 0.7×	13	535
Swarooparani Vadlamudi United States	11	51 0.2×	214 0.9×	120 0.7×	63 0.5×	115 0.9×	15	714
Takashi Yamadori Japan	13	42 0.2×	206 0.9×	32 0.2×	114 0.8×	423 3.3×	61	699
Nana Sunn Australia	11	78 0.3×	257 1.1×	41 0.2×	38 0.3×	104 0.8×	19	733

Countries citing papers authored by Fu-Wah Chan

Since Specialization

Citations

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

Fields of papers citing papers by Fu-Wah Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu-Wah Chan. 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 Fu-Wah Chan. The network helps show where Fu-Wah Chan may publish in the future.

Co-authorship network of co-authors of Fu-Wah Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-Wah Chan. A scholar is included among the top collaborators of Fu-Wah Chan 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 Fu-Wah Chan. Fu-Wah Chan 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:

9 of 9 papers shown

1.

Chan, Fu-Wah, et al.. (1996). P53 expression in choroid plexus neoplasms: an immunohistochemical study.. PubMed. 120(11). 1061–5. 11 indexed citations

2.

Jay, Venita, et al.. (1994). Cell Kinetic Analysis in Pediatric Brain and Spinal Tumors: A Study of 117 Cases with Ki-67 Quantitation and Flow Cytometry. Pediatric Pathology. 14(2). 253–276. 16 indexed citations

3.

Jay, Venita, Fu-Wah Chan, & Laurence E. Becker. (1990). Dendritic arborization in the human fetus and infant with the trisomy 18 syndrome. Developmental Brain Research. 54(2). 291–294. 7 indexed citations

4.

Takada, K, et al.. (1989). Aberrant dendritic development in the human agyric cortex: a quantitative and qualitative Golgi study of two cases.. PubMed. 7(3). 111–9. 14 indexed citations

5.

Becker, L. E., Don Armstrong, & Fu-Wah Chan. (1986). Dendritic atrophy in children with Down's syndrome. Annals of Neurology. 20(4). 520–526. 219 indexed citations

6.

Takashima, Sachio, et al.. (1985). Golgi and computer morphometric analysis of cortical dendrites in metabolic storage disease. Experimental Neurology. 88(3). 652–672. 13 indexed citations

7.

Takashima, Sachio, Laurence E. Becker, & Fu-Wah Chan. (1982). Retardation of Neuronal Maturation in Premature Infants Compared with Term Infants of the Same Postconceptional Age. PEDIATRICS. 69(1). 33–39. 33 indexed citations

8.

Takashima, Sachio, Laurence E. Becker, Dawna L. Armstrong, & Fu-Wah Chan. (1981). Abnormal neuronal development in the visual cortex of the human fetus and infant with down's syndrome. A quantitative and qualitative golgi study. Brain Research. 225(1). 1–21. 243 indexed citations

9.

Takashima, Sachio, Fu-Wah Chan, L. E. Becker, & Don Armstrong. (1980). Morphology of the Developing Visual Cortex of the Human Infant. Journal of Neuropathology & Experimental Neurology. 39(4). 487–501. 91 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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