Jack Zhang

3.6k total citations
70 papers, 2.6k citations indexed

About

Jack Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Jack Zhang has authored 70 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 24 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Molecular Biology. Recurrent topics in Jack Zhang's work include Blood Pressure and Hypertension Studies (29 papers), Hormonal Regulation and Hypertension (23 papers) and Renin-Angiotensin System Studies (16 papers). Jack Zhang is often cited by papers focused on Blood Pressure and Hypertension Studies (29 papers), Hormonal Regulation and Hypertension (23 papers) and Renin-Angiotensin System Studies (16 papers). Jack Zhang collaborates with scholars based in United States, Japan and Switzerland. Jack Zhang's co-authors include Samir Patel, Andrew Satlin, Hui Fang, Steven A. Yarows, Suzanne Oparil, G. Tim Bowden, Kazuomi Kario, Qin M. Chen, Hiromi Gotou and Steven G. Chrysant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and PLoS ONE.

In The Last Decade

Jack Zhang

66 papers receiving 2.5k 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 Zhang United States 29 1.5k 929 577 191 174 70 2.6k
Anton J.M. Roks Netherlands 29 1.5k 1.0× 836 0.9× 988 1.7× 216 1.1× 115 0.7× 84 3.0k
Aaron J. Trask United States 22 973 0.6× 480 0.5× 463 0.8× 128 0.7× 71 0.4× 57 1.7k
Nirmal Parajuli Canada 25 754 0.5× 367 0.4× 791 1.4× 165 0.9× 80 0.5× 44 2.1k
Hideaki Jinnouchi Japan 26 499 0.3× 1.1k 1.2× 768 1.3× 159 0.8× 135 0.8× 81 2.3k
Daiju Fukuda Japan 24 769 0.5× 342 0.4× 507 0.9× 171 0.9× 85 0.5× 98 2.0k
Yosuke Kayama Japan 16 869 0.6× 339 0.4× 830 1.4× 294 1.5× 75 0.4× 29 2.1k
Kohzo Nagata Japan 35 1.8k 1.2× 677 0.7× 952 1.6× 236 1.2× 168 1.0× 144 3.6k
Takahisa Noma Japan 26 1.1k 0.7× 303 0.3× 877 1.5× 166 0.9× 103 0.6× 91 2.3k
Chia‐Ti Tsai Taiwan 34 2.4k 1.6× 632 0.7× 1.3k 2.2× 219 1.1× 76 0.4× 177 4.2k
Koji Ohmori Japan 28 883 0.6× 351 0.4× 564 1.0× 118 0.6× 94 0.5× 96 2.2k

Countries citing papers authored by Jack Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jack Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Zhang. A scholar is included among the top collaborators of Jack Zhang 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 Zhang. Jack Zhang 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.
Kang, Sangjo, Jack Zhang, Anirudh Sattiraju, et al.. (2025). Glioblastoma shift from bulk to infiltrative growth is guided by plexin-B2-mediated microglia alignment in invasive niches. Nature Cancer. 6(9). 1505–1523. 2 indexed citations
2.
Schüpper, Alexander J., et al.. (2024). Molecular profile and clinical outcome of adult primary spinal cord glioblastoma: a systematic review. Journal of Neurosurgery Spine. 41(4). 541–550.
3.
Rivera, Daniel, et al.. (2024). Innovations in intraoperative therapies in neurosurgical oncology: a narrative review. Journal of Neuro-Oncology. 171(3). 549–557. 1 indexed citations
4.
Schüpper, Alexander J., et al.. (2024). Cervical Spine Stenosis Causing Diaphragmatic Paralysis: A Case Study and Narrative Review of Clinical Presentations and Outcomes. Clinical Spine Surgery A Spine Publication. 37(6). 245–251.
5.
6.
Rießland, Markus, Benjamin Kolisnyk, Tae Wan Kim, et al.. (2019). Loss of SATB1 Induces p21-Dependent Cellular Senescence in Post-mitotic Dopaminergic Neurons. Cell stem cell. 25(4). 514–530.e8. 124 indexed citations
7.
Lee, Sang Chul, et al.. (2016). G-Quadruplex in the NRF2 mRNA 5′ Untranslated Region Regulates De Novo NRF2 Protein Translation under Oxidative Stress. Molecular and Cellular Biology. 37(1). 47 indexed citations
8.
Ou, Xichao, Shengfen Wang, Haiyan Dong, et al.. (2016). Multicenter evaluation of a real-time loop-mediated isothermal amplification (RealAmp) test for rapid diagnosis of Mycobacterium tuberculosis. Journal of Microbiological Methods. 129. 39–43. 11 indexed citations
9.
10.
Xu, Beibei, Jack Zhang, Joshua Strom, Sang‐Hun Lee, & Qin M. Chen. (2014). Myocardial ischemic reperfusion induces de novo Nrf2 protein translation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(9). 1638–1647. 77 indexed citations
11.
Ou, Xichao, Hui Xia, Qiang Li, et al.. (2014). A feasibility study of the Xpert MTB/RIF test at the peripheral level laboratory in China. International Journal of Infectious Diseases. 31. 41–46. 20 indexed citations
12.
Ou, Xichao, Qiang Li, Hui Xia, et al.. (2014). Diagnostic Accuracy of the PURE-LAMP Test for Pulmonary Tuberculosis at the County-Level Laboratory in China. PLoS ONE. 9(5). e94544–e94544. 50 indexed citations
13.
Lacourcière, Yves, et al.. (2012). Clinic and ambulatory blood pressure lowering effect of aliskiren/amlodipine/hydrochlorothiazide combination in patients with moderate-to-severe hypertension. Journal of Hypertension. 30(10). 2047–2055. 18 indexed citations
14.
Murray, Alexander V., Wolfgang Köenig, Juan García‐Puig, et al.. (2012). Safety and Efficacy of Aliskiren/Amlodipine/Hydrochlorothiazide Triple Combination in Patients With Moderate to Severe Hypertension: A 54‐Week, Open‐Label Study. Journal of Clinical Hypertension. 14(12). 821–827. 9 indexed citations
15.
Dickinson, Sally E., Erik R. Olson, Jack Zhang, et al.. (2011). p38 MAP kinase plays a functional role in UVB‐Induced mouse skin carcinogenesis. Molecular Carcinogenesis. 50(6). 469–478. 51 indexed citations
16.
Zhang, Jack, et al.. (2011). La Autoantigen Mediates Oxidant Induced De Novo Nrf2 Protein Translation. Molecular & Cellular Proteomics. 11(6). M111.015032–M111.015032. 48 indexed citations
17.
Zhang, Jack & G. Tim Bowden. (2011). Activation of p38 MAP kinase and JNK pathways by UVA irradiation. Photochemical & Photobiological Sciences. 11(1). 54–61. 32 indexed citations
18.
Xu, Beibei, et al.. (2010). Inhibition of apoptosis by progesterone in cardiomyocytes. Aging Cell. 9(5). 799–809. 33 indexed citations
19.
Nickenig, G, et al.. (2008). Efficacy of aliskiren/hydrochlorothiazide single-pill combinations in aliskiren non-responders. Blood Pressure. 17(sup2). 31–40. 25 indexed citations
20.
Yarows, Steven A., Suzanne Oparil, Samir Patel, Hui Fang, & Jack Zhang. (2008). Aliskiren and valsartan in stage 2 hypertension: subgroup analysis of a randomized, double-blind study. Advances in Therapy. 25(12). 1288–1302. 28 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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