Fred Wong

1.3k citations
20 papers · 1.2k · h-index 16

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • NF-κB Signaling Pathways

Papers in

    • Cell death mechanisms and regulation 7
    • Developmental Biology and Gene Regulation 7
    • Angiogenesis and VEGF in Cancer 6
    • Kruppel-like factors research 3
    • Immune Response and Inflammation 7
    • T-cell and B-cell Immunology 3

Fred Wong

20 papers receiving 1.2k citations

Peers

Fred Wong
Comparison fields: 5 of 88
  • Immunology 425
  • Cancer Research 280
  • Immunology and Allergy 80
  • Molecular Biology 720
  • Virology 45
Replace Heather H. Pua with:
Heather H. Pua United States
Wei Jia United States
Jane Guo United States
Vito Ruggiero Italy
András Schaffer United States
Mark Baer United States
GA Jamieson United States
Youliang Wang China
Cristina Pontes Vicente Brazil
Inger Øynebråten Norway
Fred Wong relative to Heather H. Pua United States Heather H. Pua's profile →
Citations per field
00.5×1.7×
Heather H. Pua · 1×
Citations per year

Countries citing papers authored by Fred Wong

Since Specialization
Citations

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

Fields of papers citing papers by Fred Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fred 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 Fred Wong Line = papers co-authored together Fred Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006152
2 2002143
3 1998136
4 1998126
5 200499
6 200298
7 200086
8 200383
9 201261
10 200436
11 201429
12 200429
13 201124
14 201222
15 199816
16 200615
17 201512
18 20098
19 20135
20 20171

About Fred Wong

Fred Wong is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Neurology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Cell death mechanisms and regulation (7 papers), Developmental Biology and Gene Regulation (7 papers), Angiogenesis and VEGF in Cancer (6 papers), NF-κB Signaling Pathways (6 papers), Kruppel-like factors research (3 papers), T-cell and B-cell Immunology (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Immunology (425 citations), Cancer Research (280 citations), Immunology and Allergy (80 citations), Molecular Biology (720 citations) and Virology (45 citations). Fred Wong has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Aly Karsan, Patrick J. Duriez, Michela Noseda, John M. Harlan, Christopher Hull, Graeme W. McLean, Leroy Hood, Linda Chang, Kevin G. Leong and Esther Yee. Their work appears in journals such as Blood, Journal of Biological Chemistry, Circulation Research, Microvascular Research and The Journal of Immunology.

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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