Chi‐Huey Wong

59.1k citations
724 papers · 44.7k indexed · 7 hit papers · h-index 109

Chi‐Huey Wong

712 papers receiving 43.7k citations

Hit Papers

Natural killer T cells recognize diacylglycerol antigens ...4961999202620082017250500750

Peers

Chi‐Huey Wong
Comparison fields: 5 of 172
  • Organic Chemistry 22.8k
  • Molecular Biology 30.6k
  • Biotechnology 2.8k
  • Immunology 6.4k
  • Virology 970
Replace W. Minor with:
W. Minor United States
Raymond A. Dwek United Kingdom
Zbyszek Otwinowski United States
Christopher T. Walsh United States
Peter H. Seeberger Germany
Yves Pommier United States
Ralf W. Grosse‐Kunstleve United States
Herman S. Overkleeft Netherlands
Michael R. Boyd United States
William F. DeGrado United States
Chi‐Huey Wong relative to W. Minor United States W. Minor's profile →
Citations per field
00.5×3.8×
W. Minor · 1×
Citations per year

Countries citing papers authored by Chi‐Huey Wong

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Huey Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20238
4 20232
5 202124
6 202124
7 202163
8 20213
9 20217
10 202023
11 201830
12 201619
13 201417
14 2010105
15 2008243
16 200879
17 2007113
18 2006337
19
Printed covalent glycan array for ligand profiling of diverse glycan binding proteinsbreakdown →
2004905
20 2001239

About Chi‐Huey Wong

Chi‐Huey Wong is a scholar working on Organic Chemistry, Molecular Biology and Biotechnology, having authored 724 papers that have together received 44.7k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (372 papers), Glycosylation and Glycoproteins Research (345 papers), Chemical Synthesis and Analysis (154 papers), Enzyme Catalysis and Immobilization (73 papers), Monoclonal and Polyclonal Antibodies Research (61 papers), Enzyme Production and Characterization (43 papers), RNA and protein synthesis mechanisms (41 papers) and Influenza Virus Research Studies (39 papers). The work is most often cited by research in Organic Chemistry (22.8k citations), Molecular Biology (30.6k citations) and Biotechnology (2.8k citations). Chi‐Huey Wong has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Kathryn M. Koeller, P.S. Sears, Chung‐Yi Wu, Sarah R. Hanson, Tsui-Ling Hsu, George M. Whitesides, Douglass Wu, Shang‐Cheng Hung, Michael D. Best and Michael D. Burkart. Their work appears in journals such as Nature, Science and Chemical Reviews.

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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