H. Tak Cheung

803 citations
27 papers · 639 indexed · h-index 16
Topics
Immune Cell Function and Interaction (7 papers)Immune Response and Inflammation (7 papers)Cell Adhesion Molecules Research (6 papers)
Partner nations
United States

In The Last Decade

H. Tak Cheung

27 papers receiving 595 citations

Peers

H. Tak Cheung
Comparison fields: 5 of 91
  • Immunology 240
  • Molecular Biology 197
  • Immunology and Allergy 128
  • Physiology 97
  • Cell Biology 88
Replace Ann L. Moore with:
Ann L. Moore United States
Salvatore Valvo United Kingdom
Mikako Tsuchiya Japan
István Kurucz Hungary
Chang-Duk Jun South Korea
K Titani Japan
Ileana Aragon United States
Doran W. Pearson United States
Evangelia Patsavoudi Greece
Katarína Gaplovská-Kyselá Slovakia
H. Tak Cheung relative to Ann L. Moore United States Ann L. Moore's profile →
Citations per field
00.5×10×14.2×
Ann L. Moore · 1×
Citations per year

Countries citing papers authored by H. Tak Cheung

Since Specialization
Citations

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

Fields of papers citing papers by H. Tak Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Tak Cheung. 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 H. Tak Cheung. The network helps show where H. Tak Cheung may publish in the future.

Co-authorship network of co-authors of H. Tak Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of H. Tak Cheung. A scholar is included among the top collaborators of H. Tak Cheung 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 H. Tak Cheung. H. Tak Cheung 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 7
2 5
3 2
4 28
5 39
6 15
7 12
8 34
9 16
10 30
11 23
12 4
13 13
14 15
15 34
16
Effect of age on the interleukin 2 messenger RNA level
5
17 43
18 68
19
Modulation of spreading, adhesion and migration of peritoneal macrophages by a low molecular weight factor extracted from mouse tumors.
10
20 42

About H. Tak Cheung

H. Tak Cheung is a scholar working on Immunology and Allergy, Aging and Immunology, having authored 27 papers that have together received 639 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (7 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Aging (44 citations), Immunology and Allergy (128 citations) and Immunology (240 citations). H. Tak Cheung has collaborated with scholars based in United States. Frequent co-authors include Arlan Richardson, Mohammad A. Pahlavani, WU Wu-tong, Nan‐Shih Liao, Mathew J. Nadakavukaren, Daniel J. Schroen, L T Furcht, Mark J. Forster, A. J. Geddes and I. Kompiš. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Biochemical and Biophysical Research Communications.

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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