Kit Wong

2.0k citations
12 papers · 1.7k indexed · h-index 12

Impact in

Papers in

Kit Wong

12 papers receiving 1.6k citations

Peers

Kit Wong
Comparison fields: 5 of 106
  • Developmental Neuroscience 443
  • Cellular and Molecular Neuroscience 849
  • Cell Biology 547
  • Immunology and Allergy 143
  • Molecular Biology 853
Replace CA Sullivan with:
CA Sullivan United States
Jonathan Q. Davis United States
Vladislav V. Kiselyov Denmark
Dino P. Leone United States
Daniela Salomon Israel
Mary C. Halloran United States
Thomas Brümmendorf Germany
Krešimir Letinić United States
Bettina Winckler United States
Betty P. Liu United States
Kit Wong relative to CA Sullivan United States CA Sullivan's profile →
Citations per field
00.5×1.5×
CA Sullivan · 1×
Citations per year

Countries citing papers authored by Kit Wong

Since Specialization
Citations

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

Fields of papers citing papers by Kit Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kit Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kit Wong Line = papers co-authored together Kit Wong links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1999458
2 2001455
3 2002162
4 2006140
5 2006129
6 200784
7 200771
8 200765
9 200229
10 200021
11 200619
12 200219

About Kit Wong

Kit Wong is a scholar working on Developmental Neuroscience, Cell Biology, Immunology and Allergy, Cellular and Molecular Neuroscience and Biophysics, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Axon Guidance and Neuronal Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cell Adhesion Molecules Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Developmental Neuroscience (443 citations), Cellular and Molecular Neuroscience (849 citations), Cell Biology (547 citations), Immunology and Allergy (143 citations) and Molecular Biology (853 citations). Kit Wong has collaborated with scholars based in United States, Belgium and Hong Kong. Frequent co-authors include Jane Y. Wu, Yi Rao, Henry R. Bourne, Jinhui Chen, Zhi‐Hong Jiang, Sophie Dupuis, Wei Wu, Klaus M. Hahn, Alexandra Van Keymeulen and Guofa Liu. Their work appears in journals such as The Journal of Cell Biology, Proceedings of the National Academy of Sciences, Genes & Development, Molecular Biology of the Cell and Current Opinion in Genetics & Development.

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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