Alexander T.H. Wu

6.8k citations
170 papers · 5.1k indexed · h-index 40

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

Alexander T.H. Wu

166 papers receiving 5.1k citations

Peers

Alexander T.H. Wu
Comparison fields: 5 of 138
  • Cancer Research 1.1k
  • Oncology 1.1k
  • Reproductive Medicine 340
  • Molecular Biology 2.6k
  • Otorhinolaryngology 149
Replace Ming Zhao with:
Ming Zhao United States
Mitsuhiko Osaki Japan
Matilde E. Lleonart Spain
Ari Ristimäki Finland
Hiroki Kuniyasu Japan
Raymond E. Meyn United States
Kristin M. Nieman United States
Jie Xu China
Alane Koki United States
Kin‐Mang Lau Hong Kong
Alexander T.H. Wu relative to Ming Zhao United States Ming Zhao's profile →
Citations per field
00.5×3.1×
Ming Zhao · 1×
Citations per year

Countries citing papers authored by Alexander T.H. Wu

Since Specialization
Citations

This map shows the geographic impact of Alexander T.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 Alexander T.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 Alexander T.H. Wu more than expected).

Fields of papers citing papers by Alexander T.H. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 202318
5 20235
6 20227
7 202214
8 20229
9 20213
10 20214
11 202129
12 201912
13 201945
14 20198
15 20194
16 201817
17 20184
18 201846
19 20185
20 2012180

About Alexander T.H. Wu

Alexander T.H. Wu is a scholar working on Cancer Research, Reproductive Medicine, Oncology, Toxicology and Genetics, having authored 170 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (17 papers), Cancer Mechanisms and Therapy (13 papers), Epigenetics and DNA Methylation (13 papers), MicroRNA in disease regulation (13 papers), Sperm and Testicular Function (13 papers), Cancer, Hypoxia, and Metabolism (11 papers), Cancer-related Molecular Pathways (10 papers) and Fungal Biology and Applications (10 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.1k citations), Reproductive Medicine (340 citations), Molecular Biology (2.6k citations) and Otorhinolaryngology (149 citations). Alexander T.H. Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chi‐Tai Yeh, Szu‐Yuan Wu, Michael Hsiao, Bashir Lawal, Oluwaseun Adebayo Bamodu, Kevin Sheng‐Po Yuan, Wei‐Hwa Lee, Richard Oko, Liang-Shun Wang and Peter Šutovský. Their work appears in journals such as Cancers, Oncotarget, International Journal of Molecular Sciences, Biomedicine & Pharmacotherapy and Cells.

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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