Zilla Y. H. Wong
- Molecular Biology top 10%
- Genetics top 5%
- Plant Science top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Alec J. JeffreysVictoria WilsonNicola J. RoyleStephen HarrapSwee Lay TheinMargaret Susanne StebbingMelanie BahloJohn A.L. Armour
- Topics
- Hormonal Regulation and Hypertension (4 papers)Genetic Associations and Epidemiology (3 papers)Renin-Angiotensin System Studies (3 papers)
- Partner nations
- AustraliaUnited KingdomHungary
In The Last Decade
Zilla Y. H. Wong
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 716
- Genetics 641
- Plant Science 219
- Endocrinology, Diabetes and Metabolism 141
- Cardiology and Cardiovascular Medicine 125
Countries citing papers authored by Zilla Y. H. Wong
This map shows the geographic impact of Zilla Y. H. 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 Zilla Y. H. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zilla Y. H. Wong more than expected).
Fields of papers citing papers by Zilla Y. H. Wong
This network shows the impact of papers produced by Zilla Y. H. 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 Zilla Y. H. Wong. The network helps show where Zilla Y. H. Wong may publish in the future.
Co-authorship network of co-authors of Zilla Y. H. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Zilla Y. H. Wong. A scholar is included among the top collaborators of Zilla Y. H. Wong 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 Zilla Y. H. Wong. Zilla Y. H. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 100 | |
| 4 | 34 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 50 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 48 | |
| 11 | 5 | |
| 12 | 34 | |
| 13 | 95 | |
| 14 | Spontaneous mutation rates to new length alleles at tandem-repetitive hypervariable loci in human DNAbreakdown → | 655 |
| 15 | Cloning aselected fragment fromahumanDNA 'fingerprint': isolation ofanextremely polymorphic minisatellite | 1 |
| 16 | 208 |
About Zilla Y. H. Wong
Zilla Y. H. Wong is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Genetic Associations and Epidemiology (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Genetics (641 citations), Molecular Biology (716 citations) and Endocrinology, Diabetes and Metabolism (141 citations). Zilla Y. H. Wong has collaborated with scholars based in Australia, United Kingdom and Hungary. Frequent co-authors include Alec J. Jeffreys, Victoria Wilson, Nicola J. Royle, Stephen Harrap, Swee Lay Thein, Margaret Susanne Stebbing, Melanie Bahlo, John A.L. Armour, Andrew Tonkin and Stanley T. Anderson. Their work appears in journals such as Nature, The Lancet and Nucleic Acids Research.
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.