Ava Kwong
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer survivorship and care
Papers in
-
- Breast Cancer Treatment Studies 47
- Cancer Genomics and Diagnostics 14
- Genetics 53
- BRCA gene mutations in cancer 48
- Co-authors
- Vivian Y. Shin (45 shared papers)Isabella Cheuk (15 shared papers)Dacita Suen (39 shared papers)Michael Co (37 shared papers)Enders K. O. Ng (12 shared papers)Edmond S.K. (31 shared papers)Jiawei Chen (13 shared papers)Wwt Lam (24 shared papers)
- Journals
- Psycho-Oncology (11 papers)World Journal of Surgery (10 papers)Clinical Breast Cancer (10 papers)Cancer Research (8 papers)Journal of Clinical Oncology (7 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ava Kwong
210 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 1.4k
- Oncology 1.0k
- Pathology and Forensic Medicine 428
- Genetics 710
- Molecular Biology 1.2k
Countries citing papers authored by Ava Kwong
This map shows the geographic impact of Ava Kwong'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 Ava Kwong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ava Kwong more than expected).
Fields of papers citing papers by Ava Kwong
This network shows the impact of papers produced by Ava Kwong. 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 Ava Kwong. The network helps show where Ava Kwong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ava Kwong, 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2019 | 187 | |
| 3 | 2015 | 115 | |
| 4 | 2019 | 109 | |
| 5 | 2013 | 95 | |
| 6 | 2015 | 90 | |
| 7 | 2016 | 88 | |
| 8 | 2019 | 85 | |
| 9 | 2010 | 83 | |
| 10 | 2012 | 80 | |
| 11 | 2012 | 79 | |
| 12 | 2012 | 79 | |
| 13 | 2015 | 78 | |
| 14 | 2013 | 78 | |
| 15 | 2018 | 78 | |
| 16 | 2010 | 78 | |
| 17 | 2013 | 75 | |
| 18 | 2019 | 73 | |
| 19 | 2011 | 59 | |
| 20 | 2011 | 58 |
About Ava Kwong
Ava Kwong is a scholar working on Cancer Research, Genetics, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 223 papers that have together received 4.4k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (48 papers), Breast Cancer Treatment Studies (47 papers), Breast Lesions and Carcinomas (20 papers), Cancer Genomics and Diagnostics (14 papers), Cancer survivorship and care (13 papers), Genetic factors in colorectal cancer (12 papers), DNA Repair Mechanisms (10 papers) and Global Cancer Incidence and Screening (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (1.0k citations), Pathology and Forensic Medicine (428 citations), Genetics (710 citations) and Molecular Biology (1.2k citations). Ava Kwong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Vivian Y. Shin, Isabella Cheuk, Dacita Suen, Michael Co, Enders K. O. Ng, Edmond S.K., Jiawei Chen, Wwt Lam, Kent‐Man Chu and Richard Fielding. Their work appears in journals such as Psycho-Oncology, World Journal of Surgery, Clinical Breast Cancer, Cancer Research and Journal of Clinical Oncology.
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.