Chi-Kit Wat

27 papers receiving 1.2k citations

Peers

Chi-Kit Wat
Comparison fields: 5 of 90
  • Insect Science 188
  • Biotechnology 109
  • Plant Science 455
  • Pulmonary and Respiratory Medicine 339
  • Cancer Research 143
Replace Ji‐Dong Wang with:
Ji‐Dong Wang China
Claude Benezra France
Masayasu Kurono Japan
Giovanni Rodighiero Italy
John C. Chabala United States
E. Gäumann Switzerland
Hexiang Wang China
Ninghui Cheng United States
Youzhi Li China
Othmar Gabriel United States
Chi-Kit Wat relative to Ji‐Dong Wang China Ji‐Dong Wang's profile →
Citations per field
00.5×2×3×3.6×
Ji‐Dong Wang · 1×
Citations per year

Countries citing papers authored by Chi-Kit Wat

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Kit Wat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983284
2 1981101
3
Ability of specific monoclonal antibodies and conventional antisera conjugated to hematoporphyrin to label and kill selected cell lines subsequent to light activation.
198591
4 197781
5 198181
6 197974
7 198171
8 198063
9 197461
10 198051
11 197948
12 198043
13 198740
14 197639
15 198434
16 198031
17 198131
18 197928
19 198624
20 197522

About Chi-Kit Wat

Chi-Kit Wat is a scholar working on Biotechnology, Cancer Research, Food Science, Pharmacology and Plant Science, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (6 papers), Photodynamic Therapy Research Studies (5 papers), Plant chemical constituents analysis (4 papers), Chemical synthesis and alkaloids (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Sesquiterpenes and Asteraceae Studies (3 papers), Fungal Biology and Applications (3 papers) and Allelopathy and phytotoxic interactions (3 papers). The work is most often cited by research in Insect Science (188 citations), Biotechnology (109 citations), Plant Science (455 citations), Pulmonary and Respiratory Medicine (339 citations) and Cancer Research (143 citations). Chi-Kit Wat has collaborated with scholars based in Canada, Denmark and Germany. Frequent co-authors include G.H.N. Towers, Daphne Mew, J G Levy, Thor J. Arnason, Elizabeth A. Graham, Jordan Lam, L. C. Vining, A. GAVIN MCINNES, Jeffrey L. C. Wright and Donald G. Smith. Their work appears in journals such as Phytochemistry, Canadian Journal of Chemistry, Photochemistry and Photobiology, Plant and Soil and Planta Medica.

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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