Frank Wu

4.9k citations
41 papers · 2.0k · 1 hit paper · h-index 15

Impact in

  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Melanoma and MAPK Pathways
    • Histone Deacetylase Inhibitors Research
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Melanoma and MAPK Pathways 4
    • Pancreatic and Hepatic Oncology Research 4
    • Peptidase Inhibition and Analysis 3

Frank Wu

37 papers receiving 2.0k citations

Frank Wu's Hit Papers

Improved survival with MEK Inhibition in BRAF-mutated melanoma for the METRIC Study Group 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501000

Peers

Frank Wu
Comparison fields: 5 of 86
  • Oncology 789
  • Molecular Biology 1.2k
  • Reproductive Medicine 128
  • Cancer Research 139
  • Pathology and Forensic Medicine 132
Replace Emma Dean with:
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Frank Wu relative to Emma Dean United Kingdom Emma Dean's profile →
Citations per field
00.5×1.5×2.0×
Emma Dean · 1×
Citations per year

Countries citing papers authored by Frank Wu

Since Specialization
Citations

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

Fields of papers citing papers by Frank Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improved survival with MEK Inhibition in BRAF-mutated melanoma for the METRIC Study Group
Hit paper breakdown →
20121071
2 2015252
3 2006118
4 201196
5 200563
6
Platelet-derived growth factor D: tumorigenicity in mice and dysregulated expression in human cancer.
200250
7 202049
8 201942
9 201432
10 202023
11 201020
12 202219
13 201218
14 201318
15 201016
16 201114
17 201614
18 202410
19 20129
20 20238

About Frank Wu

Frank Wu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cell Biology, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Cancer Mechanisms and Therapy (4 papers), Melanoma and MAPK Pathways (4 papers), Advanced Breast Cancer Therapies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Oncology (789 citations), Molecular Biology (1.2k citations), Reproductive Medicine (128 citations), Cancer Research (139 citations) and Pathology and Forensic Medicine (132 citations). Frank Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Reinhard Dummer, Mohammed Milhem, James Larkin, Paul Nathan, Peter Hersey, Lev Demidov, Dirk Schadendorf, Piotr Rutkowski, Laurie Sherman and Claus Garbe. Their work appears in journals such as Journal of Clinical Oncology, Bioorganic & Medicinal Chemistry Letters, Cancer Research, Journal of Medicinal Chemistry and Blood.

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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