Anna H. Wu
Impact in
- Pathology and Forensic Medicine top 0.2%
- Phytoestrogen effects and research
- Tea Polyphenols and Effects
- Oncology top 0.5%
- Cancer Risks and Factors
- Global Cancer Incidence and Screening
Papers in
- Oncology 112
- Cancer Risks and Factors 86
- Global Cancer Incidence and Screening 37
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- Phytoestrogen effects and research 35
- Co-authors
- Malcolm C. PikeLeslie BernsteinLaurence N. KolonelMimi C. YuDee W. WestChiu-Chen TsengEsther M. JohnMark Messina
- Journals
- Cancer Epidemiology Biomarkers & Prevention (33 papers)International Journal of Cancer (23 papers)Cancer Causes & Control (15 papers)JNCI Journal of the National Cancer Institute (13 papers)British Journal of Cancer (8 papers)
- Partner nations
- United StatesNorwaySingapore
In The Last Decade
Anna H. Wu
250 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Pathology and Forensic Medicine 3.0k
- Oncology 3.7k
- Biochemistry 582
- Cancer Research 1.3k
- Genetics 2.1k
Countries citing papers authored by Anna H. Wu
This map shows the geographic impact of Anna H. Wu'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 Anna H. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna H. Wu more than expected).
Fields of papers citing papers by Anna H. Wu
This network shows the impact of papers produced by Anna H. Wu. 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 Anna H. Wu. The network helps show where Anna H. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna H. Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 20 | |
| 9 | 2018 | 54 | |
| 10 | 2017 | 64 | |
| 11 | 2017 | 44 | |
| 12 | 2017 | 13 | |
| 13 | 2016 | 28 | |
| 14 | 2016 | 22 | |
| 15 | 2016 | 11 | |
| 16 | 2015 | 27 | |
| 17 | 2015 | 19 | |
| 18 | 2015 | 71 | |
| 19 | 2013 | 11 | |
| 20 | 2011 | 55 |
About Anna H. Wu
Anna H. Wu is a scholar working on Oncology, Pathology and Forensic Medicine, Reproductive Medicine, Cancer Research and Health, Toxicology and Mutagenesis, having authored 255 papers that have together received 11.6k indexed citations. Recurring topics across this work include Cancer Risks and Factors (86 papers), Global Cancer Incidence and Screening (37 papers), Phytoestrogen effects and research (35 papers), Nutritional Studies and Diet (35 papers), Ovarian cancer diagnosis and treatment (23 papers), Estrogen and related hormone effects (22 papers), Esophageal Cancer Research and Treatment (22 papers) and Air Quality and Health Impacts (19 papers). The work is most often cited by research in Pathology and Forensic Medicine (3.0k citations), Oncology (3.7k citations), Biochemistry (582 citations), Cancer Research (1.3k citations) and Genetics (2.1k citations). Anna H. Wu has collaborated with scholars based in United States, Norway and Singapore. Frequent co-authors include Malcolm C. Pike, Leslie Bernstein, Laurence N. Kolonel, Mimi C. Yu, Dee W. West, Chiu-Chen Tseng, Esther M. John, Mark Messina, Alice S. Whittemore and Jean H. Hankin. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, International Journal of Cancer, Cancer Causes & Control, JNCI Journal of the National Cancer Institute and British Journal of Cancer.
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.