Wai-Him Kwok

102 total papers · 2.1k total citations
69 papers, 1.6k citations indexed

About

Wai-Him Kwok is a scholar working on Endocrinology, Diabetes and Metabolism, Inorganic Chemistry and Organic Chemistry. According to data from OpenAlex, Wai-Him Kwok has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Inorganic Chemistry and 18 papers in Organic Chemistry. Recurrent topics in Wai-Him Kwok's work include Hormonal and reproductive studies (23 papers), Organometallic Complex Synthesis and Catalysis (12 papers) and Pharmacological Effects and Assays (11 papers). Wai-Him Kwok is often cited by papers focused on Hormonal and reproductive studies (23 papers), Organometallic Complex Synthesis and Catalysis (12 papers) and Pharmacological Effects and Assays (11 papers). Wai-Him Kwok collaborates with scholars based in China, Hong Kong and United States. Wai-Him Kwok's co-authors include Manoj K. Karmakar, Terence S. M. Wan, Albert S. C. Chan, A. M.‐H. Ho, X. Li, Thomas C. W. Mak, Zhongyuan Zhou, Po Tong Chui, Emmie N. M. Ho and Xingshu Li and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Chemical Communications.

In The Last Decade

Wai-Him Kwok

65 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wai-Him Kwok 605 508 372 286 222 69 1.6k
Maurice M. Pechet 760 1.3× 144 0.3× 87 0.2× 263 0.9× 303 1.4× 78 2.1k
Daniel Catheline 405 0.7× 209 0.4× 183 0.5× 161 0.6× 68 0.3× 73 2.0k
F. Carey 431 0.7× 137 0.3× 294 0.8× 80 0.3× 135 0.6× 43 2.2k
Milton S. Feather 476 0.8× 73 0.1× 53 0.1× 470 1.6× 177 0.8× 89 2.3k
Kenji Kinoshita 370 0.6× 89 0.2× 172 0.5× 109 0.4× 179 0.8× 144 1.9k
Lifang Zhao 300 0.5× 58 0.1× 113 0.3× 171 0.6× 90 0.4× 90 2.1k
Song Xue 423 0.7× 119 0.2× 178 0.5× 257 0.9× 24 0.1× 106 2.3k
Toshihiko Hashimoto 331 0.5× 61 0.1× 108 0.3× 108 0.4× 160 0.7× 69 1.6k
Yong Li 642 1.1× 67 0.1× 107 0.3× 76 0.3× 82 0.4× 38 2.1k
Shigeru Tanaka 411 0.7× 282 0.6× 208 0.6× 69 0.2× 37 0.2× 76 1.6k

Countries citing papers authored by Wai-Him Kwok

Since Specialization
Citations

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

Fields of papers citing papers by Wai-Him Kwok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai-Him Kwok. 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 Wai-Him Kwok. The network helps show where Wai-Him Kwok may publish in the future.

Co-authorship network of co-authors of Wai-Him Kwok

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

All Works

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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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