Amy Kwok
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
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- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
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- Inflammatory mediators and NSAID effects 4
- Co-authors
- Ralph Scully (5 shared papers)Anyong Xie (3 shared papers)Frederick C. Leung (9 shared papers)Gurushankar Chandramouly (3 shared papers)Yajun Wang (4 shared papers)Hugh Silk (1 shared paper)Ganesh Nagaraju (2 shared papers)Andrea J. Hartlerode (2 shared papers)
- Journals
- General and Comparative Endocrinology (5 papers)PLoS ONE (2 papers)Poultry Science (2 papers)Endocrinology (2 papers)Nature Communications (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Amy Kwok
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Endocrinology 63
- Molecular Biology 788
- Oncology 244
- Cancer Research 127
- Aging 16
Countries citing papers authored by Amy Kwok
This map shows the geographic impact of Amy 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 Amy Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Kwok more than expected).
Fields of papers citing papers by Amy Kwok
This network shows the impact of papers produced by Amy 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 Amy Kwok. The network helps show where Amy Kwok may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Kwok, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 266 | |
| 2 | 2007 | 184 | |
| 3 | 2014 | 117 | |
| 4 | 2015 | 111 | |
| 5 | 2015 | 59 | |
| 6 | 2007 | 57 | |
| 7 | 2013 | 52 | |
| 8 | 2007 | 50 | |
| 9 | 2017 | 49 | |
| 10 | 2009 | 48 | |
| 11 | 2007 | 37 | |
| 12 | 2016 | 35 | |
| 13 | 2016 | 29 | |
| 14 | 2016 | 25 | |
| 15 | 2009 | 25 | |
| 16 | 2013 | 13 | |
| 17 | 2008 | 13 | |
| 18 | 2012 | 13 | |
| 19 | 2007 | 12 | |
| 20 | 2012 | 10 |
About Amy Kwok
Amy Kwok is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Inflammatory mediators and NSAID effects (4 papers), Hypothalamic control of reproductive hormones (4 papers), CRISPR and Genetic Engineering (4 papers), Neuropeptides and Animal Physiology (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Genomics and Chromatin Dynamics (3 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Endocrinology (63 citations), Molecular Biology (788 citations), Oncology (244 citations), Cancer Research (127 citations) and Aging (16 citations). Amy Kwok has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Ralph Scully, Anyong Xie, Frederick C. Leung, Gurushankar Chandramouly, Yajun Wang, Hugh Silk, Ganesh Nagaraju, Andrea J. Hartlerode, Bin Huang and Nicholas A. Willis. Their work appears in journals such as General and Comparative Endocrinology, PLoS ONE, Poultry Science, Endocrinology and Nature 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.