Jack Wu

966 total citations
18 papers, 778 citations indexed

About

Jack Wu is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jack Wu has authored 18 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jack Wu's work include Cancer-related Molecular Pathways (9 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Research and Treatments (3 papers). Jack Wu is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Research and Treatments (3 papers). Jack Wu collaborates with scholars based in United States, Qatar and Japan. Jack Wu's co-authors include Archana Thakur, D. Joshua Liao, Fazlul H. Sarkar, Hector Biliran, Aliccia Bollig‐Fischer, Amro Aboukameel, Asfar S. Azmi, Yuan Sun, Andreana Holowatyj and Zeng Quan Yang and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Scientific Reports.

In The Last Decade

Jack Wu

18 papers receiving 769 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jack Wu United States	14	625	251	196	63	53	18	778
Víctor J. Sánchez‐Arévalo Lobo Spain	14	693 1.1×	311 1.2×	152 0.8×	59 0.9×	61 1.2×	23	887
Antonio Díaz‐López Spain	13	375 0.6×	272 1.1×	302 1.5×	85 1.3×	38 0.7×	15	682
Amanda R. Wasylishen United States	15	465 0.7×	257 1.0×	179 0.9×	30 0.5×	37 0.7×	25	643
Sudha Mannava United States	9	631 1.0×	207 0.8×	201 1.0×	30 0.5×	67 1.3×	11	757
Christopher G. Danes United States	8	508 0.8×	306 1.2×	129 0.7×	40 0.6×	121 2.3×	12	690
Byung–Kyu Ryu South Korea	10	374 0.6×	135 0.5×	120 0.6×	66 1.0×	59 1.1×	11	562
Pasqualino De Antonellis Italy	10	632 1.0×	181 0.7×	471 2.4×	50 0.8×	56 1.1×	16	889
Kolaparthi Venkatasubbarao United States	14	588 0.9×	405 1.6×	177 0.9×	95 1.5×	28 0.5×	17	789
Gyu-Beom Jang South Korea	10	595 1.0×	351 1.4×	179 0.9×	58 0.9×	86 1.6×	12	819
Tamer Yağcı Türkiye	13	357 0.6×	274 1.1×	162 0.8×	59 0.9×	32 0.6×	32	550

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-authorship network of co-authors of Jack Wu

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

All Works

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18 of 18 papers shown

Azmi, Asfar S., Irfana Muqbil, Jack Wu, et al.. (2015). Targeting the Nuclear Export Protein XPO1/CRM1 Reverses Epithelial to Mesenchymal Transition. Scientific Reports. 5(1). 16077–16077. 29 indexed citations

Azmi, Asfar S., William Senapedis, Erkan Baloglu, et al.. (2015). Abstract 4688: Overcoming drug resistance and stemness in oncogenic kras driven pancreatic ductal adenocarcinoma through PAK4 inhibition. Cancer Research. 75(15_Supplement). 4688–4688. 1 indexed citations

Ye, Qin, Andreana Holowatyj, Jack Wu, et al.. (2015). Genetic alterations of KDM4 subfamily and therapeutic effect of novel demethylase inhibitor in breast cancer.. PubMed. 5(4). 1519–30. 51 indexed citations

Holowatyj, Andreana N., Qin Ye, Jack Wu, et al.. (2015). Abstract 98: Genetic alterations of KDM4 subfamily and therapeutic effect of novel demethylase inhibitor in breast cancer. Cancer Research. 75(15_Supplement). 98–98. 2 indexed citations

Muqbil, Irfana, Jack Wu, Amro Aboukameel, Ramzi M. Mohammad, & Asfar S. Azmi. (2014). Snail nuclear transport: The gateways regulating epithelial-to-mesenchymal transition?. Seminars in Cancer Biology. 27. 39–45. 70 indexed citations

Yang, Min, et al.. (2012). Splicing of mouse p53 pre-mRNA does not always follow the “first come, first served” principle and may be influenced by cisplatin treatment and serum starvation. Molecular Biology Reports. 39(9). 9247–9256. 14 indexed citations

Hou, Jinling, Jack Wu, Alan A. Dombkowski, et al.. (2012). Abstract 2192: Genomic amplification and drug-resistance roles of the KDM5A histone demethylase gene in breast cancer. Cancer Research. 72(8_Supplement). 2192–2192. 3 indexed citations

Hou, Jinling, Jack Wu, Alan A. Dombkowski, et al.. (2012). Genomic amplification and a role in drug-resistance for the KDM5A histone demethylase in breast cancer.. PubMed. 4(3). 247–56. 94 indexed citations

Azmi, Asfar S., Amro Aboukameel, Sanjeev Banerjee, et al.. (2010). MDM2 inhibitor MI-319 in combination with cisplatin is an effective treatment for pancreatic cancer independent of p53 function. European Journal of Cancer. 46(6). 1122–1131. 55 indexed citations

10.

Mohammad, Ramzi M., Jack Wu, Asfar S. Azmi, et al.. (2009). An MDM2 antagonist (MI-319) restores p53 functions and increases the life span of orally treated follicular lymphoma bearing animals. Molecular Cancer. 8(1). 115–115. 59 indexed citations

11.

Wu, Jack, et al.. (2008). Identification of the cyclin D1b mRNA variant in mouse. Molecular Biology Reports. 36(5). 953–957. 8 indexed citations

12.

Sun, Yuan, Jack Wu, Archana Thakur, et al.. (2008). Expression profile of microRNAs in c-Myc induced mouse mammary tumors. Breast Cancer Research and Treatment. 118(1). 185–196. 67 indexed citations

13.

Sun, Yuan, Jack Wu, Amro Aboukameel, et al.. (2008). Apogossypolone, a nonpeptidic small molecule inhibitor targeting Bcl-2 family proteins, effectively inhibits growth of diffuse large cell lymphoma cells in vitro and in vivo. Cancer Biology & Therapy. 7(9). 1418–1426. 32 indexed citations

14.

Thakur, Archana, Yuan Sun, Aliccia Bollig‐Fischer, et al.. (2008). Anti-invasive and Antimetastatic Activities of Ribosomal Protein S6 Kinase 4 in Breast Cancer Cells. Clinical Cancer Research. 14(14). 4427–4436. 54 indexed citations

15.

Liao, D. Joshua, Archana Thakur, Jack Wu, Hector Biliran, & Fazlul H. Sarkar. (2007). Perspectives on c-Myc, Cyclin D1, and Their Interaction in Cancer Formation, Progression, and Response to Chemotherapy. Critical Reviews™ in Oncogenesis. 13(2). 93–158. 104 indexed citations

16.

Thakur, Archana, KM Wahidur Rahman, Jack Wu, et al.. (2007). Aberrant Expression of X-Linked Genes RbAp46, Rsk4, and Cldn2 in Breast Cancer. Molecular Cancer Research. 5(2). 171–181. 66 indexed citations

17.

Thakur, Archana, Yuan Sun, Jack Wu, et al.. (2007). Synergistic Effect of Cyclin D1 and c-Myc Leads to More Aggressive and Invasive Mammary Tumors in Severe Combined Immunodeficient Mice. Cancer Research. 67(8). 3698–3707. 31 indexed citations

18.

Ku, Manching, Sergei Y. Sokol, Jack Wu, et al.. (2005). Positive and Negative Regulation of the Transforming Growth Factor β/Activin Target Gene goosecoid by the TFII-I Family of Transcription Factors. Molecular and Cellular Biology. 25(16). 7144–7157. 38 indexed citations

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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