Jason Zhu

1.4k total citations
56 papers, 801 citations indexed

About

Jason Zhu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Jason Zhu has authored 56 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 28 papers in Oncology and 12 papers in Surgery. Recurrent topics in Jason Zhu's work include Cancer Immunotherapy and Biomarkers (14 papers), Renal cell carcinoma treatment (12 papers) and Prostate Cancer Treatment and Research (11 papers). Jason Zhu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (14 papers), Renal cell carcinoma treatment (12 papers) and Prostate Cancer Treatment and Research (11 papers). Jason Zhu collaborates with scholars based in United States, Canada and China. Jason Zhu's co-authors include Tian Zhang, Andrew J. Armstrong, Daniel J. George, Stacey A. Fedewa, Amy Y. Chen, Rajan T. Gupta, Terence W. Friedlander, Won Kim, Matthew Labriola and Sumanta K. Pal and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Chemistry of Materials.

In The Last Decade

Jason Zhu

52 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Zhu United States 15 369 364 196 194 191 56 801
Jin‐Hyuk Choi South Korea 18 483 1.3× 488 1.3× 147 0.8× 318 1.6× 126 0.7× 73 944
Xianlu Zhuo China 17 167 0.5× 288 0.8× 210 1.1× 496 2.6× 138 0.7× 69 841
Lajos Géczi Hungary 16 460 1.2× 386 1.1× 148 0.8× 203 1.0× 359 1.9× 90 939
Blanca Cantos Spain 15 202 0.5× 401 1.1× 187 1.0× 460 2.4× 79 0.4× 49 961
John R. Houck United States 16 161 0.4× 138 0.4× 179 0.9× 330 1.7× 152 0.8× 22 771
Lisa van der Putten Netherlands 13 176 0.5× 190 0.5× 55 0.3× 149 0.8× 212 1.1× 20 722
Wilfredo Alejandro González‐Arriagada Chile 13 112 0.3× 124 0.3× 64 0.3× 153 0.8× 59 0.3× 56 476
Fiona E. McRonald United Kingdom 14 330 0.9× 177 0.5× 109 0.6× 467 2.4× 75 0.4× 17 890
Ana Castro Portugal 8 220 0.6× 239 0.7× 69 0.4× 109 0.6× 199 1.0× 13 577

Countries citing papers authored by Jason Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jason Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Zhu

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

All Works

20 of 20 papers shown
1.
Zhu, Jason, Arijit Khan, & Cüneyt Gürcan Akçora. (2024). Data depth and core-based trend detection on blockchain transaction networks. SHILAP Revista de lepidopterología. 7. 3 indexed citations
2.
3.
Wang, Shan, et al.. (2023). On False Data Injection Attack against Building Automation Systems. 35–41. 1 indexed citations
4.
Zhu, Jason, Chad Livasy, James T. Symanowski, et al.. (2023). Prognostic value of galectin-1 and galectin-3 expression in localized urothelial bladder cancer. Translational Andrology and Urology. 12(2). 228–240. 3 indexed citations
5.
Burgess, Earle F., Joyce Sanders, Chad Livasy, et al.. (2022). Identification of potential biomarkers and novel therapeutic targets through genomic analysis of small cell bladder carcinoma and associated clinical outcomes. Urologic Oncology Seminars and Original Investigations. 40(8). 383.e1–383.e10. 2 indexed citations
6.
Adeyemi, Oluwaseun, William E. Anderson, Timothy Hetherington, et al.. (2021). Racial Disparities in Prostate Specific Antigen Screening and Referral to Urology in a Large, Integrated Health Care System: A Retrospective Cohort Study. The Journal of Urology. 206(2). 270–278. 10 indexed citations
7.
8.
Burgess, Earle F., Nury Steuerwald, James T. Symanowski, et al.. (2020). Pathogenic variants in PTEN to predict for increased risk of relapse and death in patients with limited stage small cell bladder cancer.. Journal of Clinical Oncology. 38(6_suppl). 526–526.
9.
Tucker, Matthew D., Jason Zhu, Daniele Marin, et al.. (2019). Pembrolizumab in men with heavily treated metastatic castrate‐resistant prostate cancer. Cancer Medicine. 8(10). 4644–4655. 59 indexed citations
10.
Kao, Chester, Megan McNamara, Neil L. Spector, et al.. (2019). A Complete Response After Pseudo-progression: Pembrolizumab for Metastatic Squamous Cell Carcinoma (SCC) of the Bladder. Clinical Genitourinary Cancer. 17(3). e672–e677. 4 indexed citations
11.
Labriola, Matthew, Kristen A. Batich, Jason Zhu, et al.. (2019). Immunotherapy Is Changing First-Line Treatment of Metastatic Renal-Cell Carcinoma. Clinical Genitourinary Cancer. 17(3). e513–e521. 33 indexed citations
12.
Labriola, Matthew, Jason Zhu, Rajan T. Gupta, et al.. (2019). Characterization of tumor mutational burden (TMB), PD-L1, and DNA repair genes to assess correlation with immune checkpoint inhibitors (ICIs) response in metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 37(15_suppl). e16079–e16079. 4 indexed citations
13.
Zhu, Jason, Matthew D. Tucker, Daniele Marin, et al.. (2019). Clinical utility of FoundationOne tissue molecular profiling in men with metastatic prostate cancer. Urologic Oncology Seminars and Original Investigations. 37(11). 813.e1–813.e9. 17 indexed citations
14.
Zhu, Jason, Andrew J. Armstrong, Terence W. Friedlander, et al.. (2018). Biomarkers of immunotherapy in urothelial and renal cell carcinoma: PD-L1, tumor mutational burden, and beyond. Journal for ImmunoTherapy of Cancer. 6(1). 4–4. 113 indexed citations
15.
Zhu, Jason, Matthew D. Tucker, Patrick Healy, et al.. (2018). Clinical utility of Foundation One tissue molecular profiling in men with metastatic prostate cancer.. Journal of Clinical Oncology. 36(6_suppl). 318–318. 1 indexed citations
16.
Zhu, Jason, et al.. (2015). Treatment of High-Grade Metastatic Pancreatic Neuroendocrine Carcinoma with FOLFIRINOX. Journal of Gastrointestinal Cancer. 46(2). 166–169. 14 indexed citations
17.
Mei, Hongkang, Gang Feng, Jason Zhu, et al.. (2015). A Practical Guide for Exploring Opportunities of Repurposing Drugs for CNS Diseases in Systems Biology. Methods in molecular biology. 1303. 531–547. 6 indexed citations
18.
Papadakos, Janet, et al.. (2014). Informational needs of gastrointestinal oncology patients. Health Expectations. 18(6). 3088–3098. 24 indexed citations
19.
Zhang, Tian, Jason Zhu, Daniel J. George, & Andrew J. Armstrong. (2014). Enzalutamide versus abiraterone acetate for the treatment of men with metastatic castration-resistant prostate cancer. Expert Opinion on Pharmacotherapy. 16(4). 473–485. 20 indexed citations
20.
Mei, Hongkang, et al.. (2012). Opportunities in systems biology to discover mechanisms and repurpose drugs for CNS diseases. Drug Discovery Today. 17(21-22). 1208–1216. 20 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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