Ming‐fai Fong

763 citations
16 papers · 458 indexed · h-index 10
Topics
Neural dynamics and brain function (8 papers)Neuroscience and Neuropharmacology Research (6 papers)Retinal Development and Disorders (5 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Ming‐fai Fong

14 papers receiving 450 citations

Peers

Ming‐fai Fong
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 249
  • Cognitive Neuroscience 222
  • Biomedical Engineering 130
  • Molecular Biology 94
  • Control and Systems Engineering 38
Replace Tianruo Guo with:
Tianruo Guo Australia
Qiyun Huang China
Shaun L. Cloherty Australia
Divya Chander United States
Bram-Ernst Verhoef Belgium
Michael S. Jones United States
Leanne Lai-Hang Chan Hong Kong
Mathias Jordan Germany
Fatima Hashim Abbas Iraq
Ming‐fai Fong relative to Tianruo Guo Australia Tianruo Guo's profile →
Citations per field
00.5×1.7×
Tianruo Guo · 1×
Citations per year

Countries citing papers authored by Ming‐fai Fong

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐fai Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐fai Fong. 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 Ming‐fai Fong. The network helps show where Ming‐fai Fong may publish in the future.

Co-authorship network of co-authors of Ming‐fai Fong

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 3
6 1
7 13
8 13
9 18
10 18
11 42
12 67
13 78
14 58
15 19
16 124

About Ming‐fai Fong

Ming‐fai Fong is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ophthalmology, having authored 16 papers that have together received 458 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Retinal Development and Disorders (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (249 citations), Cognitive Neuroscience (222 citations) and Ophthalmology (35 citations). Ming‐fai Fong has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Steve M. Potter, Jonathan P. Newman, H. Sebastian Seung, Russ Tedrake, Mark F. Bear, Peter Wenner, Kevin R. Duffy, Donald E. Mitchell, Clarissa J. Whitmire and Garrett B. Stanley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

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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