Jack Zhu

413 total citations
10 papers, 230 citations indexed

About

Jack Zhu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jack Zhu has authored 10 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Jack Zhu's work include Sarcoma Diagnosis and Treatment (2 papers), Neuroblastoma Research and Treatments (2 papers) and Lung Cancer Research Studies (2 papers). Jack Zhu is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), Neuroblastoma Research and Treatments (2 papers) and Lung Cancer Research Studies (2 papers). Jack Zhu collaborates with scholars based in United States and Germany. Jack Zhu's co-authors include Paul S. Meltzer, Hue H. Luu, Sandra Burkett, Chand Khanna, Ling Ren, Arnulfo Mendoza, Ellen S. Hong, Michael M. Lizardo, Tanasa S. Osborne and James J. Morrow and has published in prestigious journals such as PLoS ONE, Cancer Research and Cell Reports.

In The Last Decade

Jack Zhu

10 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Zhu United States 6 107 97 83 72 24 10 230
Jason Kunisaki United States 4 109 1.0× 94 1.0× 98 1.2× 63 0.9× 33 1.4× 6 236
Justin Bishop United States 7 167 1.6× 72 0.7× 83 1.0× 87 1.2× 13 0.5× 9 258
Nicla De Rosa Italy 6 160 1.5× 161 1.7× 137 1.7× 104 1.4× 28 1.2× 8 313
Elie W. Akl United States 7 104 1.0× 98 1.0× 52 0.6× 79 1.1× 19 0.8× 12 230
Bao Chang United States 6 87 0.8× 123 1.3× 65 0.8× 37 0.5× 11 0.5× 8 219
Sarah Koushyar United Kingdom 8 254 2.4× 96 1.0× 87 1.0× 64 0.9× 30 1.3× 12 347
Janani Jayanthan Australia 6 79 0.7× 69 0.7× 107 1.3× 147 2.0× 52 2.2× 8 264
Santosh Gupta United States 6 73 0.7× 163 1.7× 106 1.3× 122 1.7× 30 1.3× 15 246
Meng‐Zhong Liu China 6 122 1.1× 92 0.9× 66 0.8× 117 1.6× 14 0.6× 7 321

Countries citing papers authored by Jack Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jack Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Zhu

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

All Works

10 of 10 papers shown
1.
Park, Sun‐Mi, Minjun Kim, Jack Zhu, et al.. (2020). Inflammation suppression prevents tumor cell proliferation in a mouse model of thyroid cancer.. PubMed. 10(6). 1857–1870. 9 indexed citations
2.
Wang, Yonghong, et al.. (2019). CNVScope: Visually Exploring Copy Number Aberrations in Cancer Genomes. Cancer Informatics. 18. 2411636594–2411636594. 1 indexed citations
3.
Park, Sun‐Mi, Jack Zhu, Grégoire Altan‐Bonnet, & Sheue-yann Cheng. (2019). Monocyte recruitment and activated inflammation are associated with thyroid carcinogenesis in a mouse model.. PubMed. 9(7). 1439–1453. 14 indexed citations
4.
Rozenblum, Ester, José Sotelo‐Silveira, Jack Zhu, et al.. (2017). Novel near-diploid ovarian cancer cell line derived from a highly aneuploid metastatic ovarian tumor. PLoS ONE. 12(8). e0182610–e0182610. 1 indexed citations
5.
Patel, Dhaval, Astin S. Powers, Martha Quezado, et al.. (2017). Somatic VHL Mutation in a Patient With MEN1-Associated Metastatic Pancreatic Neuroendocrine Tumor Responding to Sunitinib Treatment: A Case Report. Journal of the Endocrine Society. 1(9). 1124–1134. 5 indexed citations
6.
Hirsch, Daniela, Darawalee Wangsa, Yue Hu, et al.. (2017). Abstract 1438: The dynamics of genetic aberrations in Crohn's disease associated colorectal carcinogenesis. Cancer Research. 77(13_Supplement). 1438–1438. 1 indexed citations
7.
Grohar, Patrick J., Sun Tae Kim, Guillermo O. Rangel Rivera, et al.. (2016). Functional Genomic Screening Reveals Splicing of the EWS-FLI1 Fusion Transcript as a Vulnerability in Ewing Sarcoma. Cell Reports. 14(3). 598–610. 36 indexed citations
8.
Ren, Ling, Arnulfo Mendoza, Jack Zhu, et al.. (2015). Characterization of the metastatic phenotype of a panel of established osteosarcoma cells. Oncotarget. 6(30). 29469–29481. 80 indexed citations
9.
Killian, Jonathan Keith, Robert L. Walker, Miia Suuriniemi, et al.. (2010). Archival Fine-Needle Aspiration Cytopathology (FNAC) Samples. Journal of Molecular Diagnostics. 12(6). 739–745. 81 indexed citations
10.
Pan, Shu, et al.. (2009). Case Studies on Simulation of Wax Deposition in Pipelines. International Petroleum Technology Conference. 2 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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