Anna H. Wu

37.6k citations
255 papers · 11.6k indexed · 2 hit papers · h-index 59

Impact in

Papers in

Anna H. Wu

250 papers receiving 11.2k citations

Hit Papers

Targeting the NLRP3 inflammasome for inflammatory disease therapy 2025 · 18 citations
181995202620052015100200300400500

Peers

Anna H. Wu
Comparison fields: 5 of 190
  • Pathology and Forensic Medicine 3.0k
  • Oncology 3.7k
  • Biochemistry 582
  • Cancer Research 1.3k
  • Genetics 2.1k
Replace Susanna C. Larsson with:
Susanna C. Larsson Sweden
Domenico Palli Italy
Manami Inoue Japan
Marilie D. Gammon United States
Wong‐Ho Chow United States
Kathy J. Helzlsouer United States
Mimi C. Yu United States
Michael F. Leitzmann United States
E. Robert Greenberg United States
Emily White United States
Anna H. Wu relative to Susanna C. Larsson Sweden Susanna C. Larsson's profile →
Citations per field
00.5×1.5×
Susanna C. Larsson · 1×
Citations per year

Countries citing papers authored by Anna H. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anna H. Wu Line = papers co-authored together Anna H. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20229
4 202211
5 20221
6 20224
7 20226
8 202120
9 201854
10 201764
11 201744
12 201713
13 201628
14 201622
15 201611
16 201527
17 201519
18 201571
19 201311
20 201155

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.

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