Sharon Wu

982 citations
68 papers · 604 indexed · h-index 13

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

Sharon Wu

55 papers receiving 599 citations

Peers

Sharon Wu
Comparison fields: 5 of 77
  • Biochemistry 77
  • Oncology 247
  • Physiology 38
  • Cancer Research 113
  • Hematology 53
Replace Rachel A. Egler with:
Rachel A. Egler United States
Joseph M. Cantor United States
James E. Gervasoni United States
Katarzyna M. Grzes United Kingdom
Chung-Ta Lee Taiwan
Ian A. Bettencourt United States
Georg Gruenbacher Austria
Tomoko Shibutani Japan
Barbara Joiner United Kingdom
Sufang Wu China
Sharon Wu relative to Rachel A. Egler United States Rachel A. Egler's profile →
Citations per field
00.5×3.5×
Rachel A. Egler · 1×
Citations per year

Countries citing papers authored by Sharon Wu

Since Specialization
Citations

This map shows the geographic impact of Sharon 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 Sharon Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Wu more than expected).

Fields of papers citing papers by Sharon Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon 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 Sharon Wu. The network helps show where Sharon Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Sharon 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 Sharon Wu Line = papers co-authored together Sharon Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 199894
3 199857
4 201831
5 201730
6 202027
7 199926
8 202321
9 201919
10 201917
11 202214
12 202212
13 202312
14 201912
15 199811
16 201511
17 20059
18 20238
19 20208
20 20236

About Sharon Wu

Sharon Wu is a scholar working on Obstetrics and Gynecology, Oncology, Cancer Research, Hematology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 604 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (9 papers), Acute Myeloid Leukemia Research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Prostate Cancer Treatment and Research (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Biochemistry (77 citations), Oncology (247 citations), Physiology (38 citations), Cancer Research (113 citations) and Hematology (53 citations). Sharon Wu has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Houda Alachkar, Yang Du, David K. Ann, Mojtaba Akhtari, Ian S. Haworth, Sarah F. Hamm‐Alvarez, Michael B. Bolger, Curtis T. Okamoto, Hermann von Grafenstein and Sujit K. Basu. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, Blood, Journal of drug targeting and Pharmaceutical 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.

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