Anna H. Wu

1.9k total citations
7 papers, 278 citations indexed

About

Anna H. Wu is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Anna H. Wu has authored 7 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Surgery. Recurrent topics in Anna H. Wu's work include Genetic Associations and Epidemiology (2 papers), BRCA gene mutations in cancer (2 papers) and Hormonal and reproductive studies (1 paper). Anna H. Wu is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), BRCA gene mutations in cancer (2 papers) and Hormonal and reproductive studies (1 paper). Anna H. Wu collaborates with scholars based in United States, France and Canada. Anna H. Wu's co-authors include Raymond S. Greenberg, Elizabeth T. H. Fontham, Peggy Boyd, Pelayo Correa, Patricia A. Buffler, Brian E. Henderson, Jonathan M. Liff, Peggy Reynolds, Laurence N. Kolonel and Chih-Lin Hsieh and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Epidemiology and The American Journal of Human Genetics.

In The Last Decade

Anna H. Wu

7 papers receiving 270 citations

Peers

Anna H. Wu
Comparison fields: 5 of 49
  • Pulmonary and Respiratory Medicine 109
  • Molecular Biology 85
  • Genetics 82
  • Oncology 67
  • Cancer Research 44
Replace Brian E. Henderson with:
Brian E. Henderson United States
Nathanial Rothman United States
Sibele I. Meireles Brazil
Kiel T. Carson Butterfield United States
Bryan A. Hay New Zealand
Angelika Brekman United States
Rosaria Cesaraccio Italy
Phuwanat Sakornsakolpat United States
Alice Biffi Italy
Brian E. Henderson United States View profile →
Citations per field, relative to Anna H. Wu
Anna H. Wu · 1×
Citations per year, relative to Anna H. Wu
Anna H. Wu · 1×

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 of co-authors of Anna H. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Anna H. Wu. A scholar is included among the top collaborators of Anna H. Wu 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 Anna H. Wu. Anna H. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 4
2 3
3 10
4 40
5 63
6 5
7 153

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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