Michael K.K. Wong

2.9k citations
25 papers · 2.1k indexed · 1 hit paper · h-index 15
Topics
Angiogenesis and VEGF in Cancer (9 papers)Cancer, Hypoxia, and Metabolism (4 papers)Cell Adhesion Molecules Research (4 papers)

In The Last Decade

Michael K.K. Wong

24 papers receiving 2.0k citations

Hit Papers

A2A adenosine receptor protects tumors from antitumor T c...20062026201220192006250500750

Peers

Michael K.K. Wong
Comparison fields: 5 of 100
  • Molecular Biology 931
  • Oncology 567
  • Immunology 553
  • Physiology 524
  • Cancer Research 391
Replace Mikhail M. Dikov with:
Mikhail M. Dikov United States
Atsushi Kasamatsu Japan
Sergey V. Novitskiy United States
Amanda Littlewood‐Evans Switzerland
Naoharu Takano Japan
Candia M. Kenific United States
Meriem Hasmim France
Douglas E. Biancur United States
Kodandaram Pillarisetti United States
Bertrand Allard Canada
Michael K.K. Wong relative to Mikhail M. Dikov United States Mikhail M. Dikov's profile →
Citations per field
00.5×1.5×
Mikhail M. Dikov · 1×
Citations per year

Countries citing papers authored by Michael K.K. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Michael K.K. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael K.K. Wong

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 8
4 7
5 11
6 1
7 22
8 50
9 19
10
A2A adenosine receptor protects tumors from antitumor T cellsbreakdown →
817
11 8
12 57
13 163
14 3
15
The therapeutic efficacy of angiostatin against weakly- and highly-immunogenic 3LL tumors.
8
16 3
17 31
18 19
19 233
20 26

About Michael K.K. Wong

Michael K.K. Wong is a scholar working on Immunology and Allergy, Cancer Research and Molecular Biology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Physiology (524 citations), Immunology (553 citations) and Cancer Research (391 citations). Michael K.K. Wong has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Xiao‐Jun Huang, Elieser Gorelik, Michail V. Sitkovsky, Kebin Liu, Patrick Smith, Simon J. Prasad, Dmitriy Lukashev, Scott I. Abrams, Akio Ohta and Sergey Apasov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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