Wai Kit
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 9
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 3
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- Prostate Cancer Diagnosis and Treatment 9
- Prostate Cancer Treatment and Research 6
- Co-authors
- Elizabeth Tran (8 shared papers)Sara C. Cloutier (5 shared papers)Zheng Xing (2 shared papers)Juergen Scharner (3 shared papers)Kuan‐Ting Lin (3 shared papers)C. Frank Bennett (2 shared papers)Frank Rigo (2 shared papers)Ming‐Kwong Yiu (6 shared papers)
- Journals
- Asian Journal of Andrology (3 papers)The Journal of Urology (3 papers)Journal of Endourology (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Wai Kit
31 papers receiving 763 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 165
- Molecular Biology 570
- Endocrinology 40
- Urology 32
- Biological Psychiatry 10
Countries citing papers authored by Wai Kit
This map shows the geographic impact of Wai Kit'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 Kit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Kit more than expected).
Fields of papers citing papers by Wai Kit
This network shows the impact of papers produced by Wai Kit. 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 Kit. The network helps show where Wai Kit may publish in the future.
Co-authors
The 25 scholars most cited alongside Wai Kit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2021 | 79 | |
| 3 | 2018 | 73 | |
| 4 | 2019 | 65 | |
| 5 | 2011 | 56 | |
| 6 | 2013 | 54 | |
| 7 | 2012 | 54 | |
| 8 | 2013 | 40 | |
| 9 | 2013 | 35 | |
| 10 | 2016 | 29 | |
| 11 | 2014 | 25 | |
| 12 | 2014 | 22 | |
| 13 | 2017 | 22 | |
| 14 | 2018 | 17 | |
| 15 | 2015 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2009 | 12 | |
| 18 | 2011 | 12 | |
| 19 | 2015 | 10 | |
| 20 | 2018 | 9 |
About Wai Kit
Wai Kit is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Pharmacology and Biological Psychiatry, having authored 32 papers that have together received 772 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Prostate Cancer Diagnosis and Treatment (9 papers), RNA modifications and cancer (9 papers), Prostate Cancer Treatment and Research (6 papers), RNA and protein synthesis mechanisms (6 papers), Cancer-related molecular mechanisms research (3 papers), Tryptophan and brain disorders (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Cancer Research (165 citations), Molecular Biology (570 citations), Endocrinology (40 citations), Urology (32 citations) and Biological Psychiatry (10 citations). Wai Kit has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Elizabeth Tran, Sara C. Cloutier, Zheng Xing, Juergen Scharner, Kuan‐Ting Lin, C. Frank Bennett, Frank Rigo, Ming‐Kwong Yiu, Adrian R. Krainer and Pete E. Pascuzzi. Their work appears in journals such as Asian Journal of Andrology, The Journal of Urology, Journal of Endourology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of Molecular Biology.
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.