Jack Wu

968 citations
16 papers · 824 · h-index 14

Impact in

    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis

Papers in

    • Cancer-related Molecular Pathways 5
    • Cancer Cells and Metastasis 2
    • Epigenetics and DNA Methylation 3
    • Nuclear Structure and Function 2
    • RNA Research and Splicing 1
    • Genomics and Chromatin Dynamics 1

Jack Wu

16 papers receiving 806 citations

Peers

Jack Wu
Comparison fields: 5 of 64
  • Cancer Research 134
  • Oncology 206
  • Molecular Biology 405
  • Developmental Neuroscience 15
  • Genetics 25
Replace Xianglin Wu with:
Xianglin Wu United States
Yiduo Hu United States
Susana Hernández-García Spain
Stephanie Cabarcas‐Petroski United States
Antonio Lucena-Cacace Spain
Zu-yun Li China
Capella R. Weems United States
Dong Woo Kang South Korea
Linda M. Facchini Canada
Zhiming Zhang China
Jack Wu relative to Xianglin Wu United States Xianglin Wu's profile →
Citations per field
00.5×1.5×2×2.3×
Xianglin Wu · 1×
Citations per year

Countries citing papers authored by Jack Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jack Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007108
2
Genomic amplification and a role in drug-resistance for the KDM5A histone demethylase in breast cancer.
2012108
3 201471
4 200770
5 200868
6 200965
7 200859
8 201058
9
Genetic alterations of KDM4 subfamily and therapeutic effect of novel demethylase inhibitor in breast cancer.
201552
10 200539
11 200835
12 200734
13 201530
14 201215
15 20089
16 20253

About Jack Wu

Jack Wu is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 824 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (2 papers), Nuclear Structure and Function (2 papers), RNA Research and Splicing (1 paper), Genomics and Chromatin Dynamics (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (134 citations), Oncology (206 citations), Molecular Biology (405 citations), Developmental Neuroscience (15 citations) and Genetics (25 citations). Jack Wu has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Archana B. Thakur, Dezhong Joshua Liao, Hector Biliran, Fazlul H. Sarkar, Aliccia B. Bollig-Fischer, Amro Aboukameel, Asfar Sohail Azmi, Yuan Sun, Zeng Quan Yang and Andreana Holowatyj. Their work appears in journals such as Molecular Biology Reports, Clinical Cancer Research, Molecular Cancer, Seminars in Cancer Biology and Scientific Reports.

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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