Steve Zhou

679 total citations
45 papers, 517 citations indexed

About

Steve Zhou is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Steve Zhou has authored 45 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 14 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Steve Zhou's work include Diabetes Management and Research (14 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Diabetes Treatment and Management (12 papers). Steve Zhou is often cited by papers focused on Diabetes Management and Research (14 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Diabetes Treatment and Management (12 papers). Steve Zhou collaborates with scholars based in United States, South Korea and Italy. Steve Zhou's co-authors include Wenhui Wei, Chunshen Pan, Philip Levin, Lin Xie, Usha Sambamoorthi, Onur Başer, Raymond Miao, Amit D. Raval, Rituparna Bhattacharya and Mayank Ajmera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and The Journal of Urology.

In The Last Decade

Steve Zhou

41 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Zhou United States 15 275 70 65 62 55 45 517
Rebecca Hahn United States 9 56 0.2× 69 1.0× 49 0.8× 18 0.3× 21 0.4× 16 508
Ling Zhu China 10 120 0.4× 70 1.0× 105 1.6× 29 0.5× 4 0.1× 47 343
Yuling Yan China 11 45 0.2× 33 0.5× 65 1.0× 41 0.7× 12 0.2× 19 334
Kamaljit Singh India 14 50 0.2× 27 0.4× 111 1.7× 28 0.5× 14 0.3× 40 504
Stephen R. Thomas United States 7 204 0.7× 35 0.5× 112 1.7× 21 0.3× 10 0.2× 12 398
Xiangying Du China 17 28 0.1× 148 2.1× 103 1.6× 164 2.6× 4 0.1× 58 854
Parth Patel United States 9 28 0.1× 29 0.4× 59 0.9× 78 1.3× 6 0.1× 43 468
Joyce C. Lashof United States 10 70 0.3× 13 0.2× 14 0.2× 23 0.4× 13 0.2× 21 332
Eunjeong Ji South Korea 12 13 0.0× 63 0.9× 81 1.2× 66 1.1× 2 0.0× 38 450
Tariq Hameed United States 10 51 0.2× 123 1.8× 86 1.3× 165 2.7× 1 0.0× 30 388

Countries citing papers authored by Steve Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Steve Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Zhou. A scholar is included among the top collaborators of Steve Zhou 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 Steve Zhou. Steve Zhou 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.
Zhou, Steve, Li‐Chun Zhang, Moon Hyung Choi, et al.. (2025). ProMUS ‐ NET : Artificial intelligence detects more prostate cancer than urologists on micro‐ultrasonography. British Journal of Urology. 136(6). 1071–1079.
2.
Rusu, Mirabela, Sulaiman Vesal, Cynthia Li, et al.. (2025). ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies. European Urology Oncology. 8(2). 477–485.
3.
Zhang, Lichun, Steve Zhou, Moon Hyung Choi, et al.. (2024). Deep learning for prostate and central gland segmentation on micro-ultrasound images. 30. 5–5. 2 indexed citations
4.
Shkolyar, Eugene, et al.. (2024). Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligence. Nature Reviews Urology. 22(1). 46–54. 10 indexed citations
5.
6.
Wang, Nancy, Steve Zhou, Leo Chen, et al.. (2021). The stanford prostate cancer calculator: Development and external validation of online nomograms incorporating PIRADS scores to predict clinically significant prostate cancer. Urologic Oncology Seminars and Original Investigations. 39(12). 831.e19–831.e27. 14 indexed citations
7.
Zhou, Steve, et al.. (2019). Using spatial tracking with magnetic resonance imaging/ultrasound‐guided biopsy to identify unilateral prostate cancer. British Journal of Urology. 125(3). 399–406. 2 indexed citations
8.
Johnson, David C., Lorna Kwan, Sohrab Afshari Mirak, et al.. (2019). Do contemporary imaging and biopsy techniques reliably identify unilateral prostate cancer? Implications for hemiablation patient selection. Cancer. 125(17). 2955–2964. 24 indexed citations
9.
Zhou, Steve, et al.. (2019). Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy. Journal of Visualized Experiments. 3 indexed citations
10.
Sangiorgio, Sophia N., Chang Liu, Steve Zhou, et al.. (2016). Distal fibula fracture fixation: Biomechanical evaluation of three different fixation implants. Foot and Ankle Surgery. 22(4). 278–285. 14 indexed citations
11.
Xie, Lin, Steve Zhou, Brett Pinsky, Erin Buysman, & Onur Başer. (2014). Impact of Initiating Insulin Glargine Disposable Pen Versus Vial/Syringe on Real-World Glycemic Outcomes and Persistence Among Patients with Type 2 Diabetes Mellitus in a Large Managed Care Plan: A Claims Database Analysis. Diabetes Technology & Therapeutics. 16(9). 567–575. 26 indexed citations
12.
Levin, Philip, Wenhui Wei, Steve Zhou, Lin Xie, & Onur Başer. (2014). Outcomes and Treatment Patterns of Adding a Third Agent to 2 OADs in Patients with Type 2 Diabetes. Journal of Managed Care Pharmacy. 20(5). 501–512. 31 indexed citations
13.
Wei, Wenhui, Steve Zhou, Raymond Miao, et al.. (2014). Much Ado About Nothing? A Real-World Study of Patients with Type 2 Diabetes Switching Basal Insulin Analogs. Advances in Therapy. 31(5). 539–560. 19 indexed citations
14.
Grabner, Michael, et al.. (2013). Clinical and Economic Outcomes Among Patients With Diabetes Mellitus Initiating Insulin Glargine Pen Versus Vial. Postgraduate Medicine. 125(3). 204–213. 31 indexed citations
15.
Xie, Lin, et al.. (2013). Does Pen Help? A Real-World Outcomes Study of Switching from Vial to Disposable Pen Among Insulin Glargine-Treated Patients with Type 2 Diabetes Mellitus. Diabetes Technology & Therapeutics. 15(3). 230–236. 35 indexed citations
16.
17.
Wu, Eric Q., Steve Zhou, Andrew Yu, et al.. (2012). Outcomes Associated with Post-Discharge Insulin Continuity in US Patients with Type 2 Diabetes Mellitus Initiating Insulin in the Hospital. Hospital Practice. 40(4). 40–48. 24 indexed citations
18.
Shah, Steven N., Gergana Zlateva, Steve Zhou, & Jonathan C. Javitt. (2006). Comparison of Comorbid Conditions Between Wet AMD Patients and a Control Cohort in the Medicare Population. Investigative Ophthalmology & Visual Science. 47(13). 2209–2209. 2 indexed citations
19.
Zhou, Steve, Jonathan C. Javitt, Gergana Zlateva, & Steven N. Shah. (2006). Evaluating the Risk of Mortality for Exudative (Wet) AMD Patients Compared to a Control Group. Investigative Ophthalmology & Visual Science. 47(13). 2213–2213. 4 indexed citations
20.
Kaplan, Wayne D., et al.. (1998). Nucleation and growth of CVD Al on different types of TiN. Thin Solid Films. 320(1). 67–72. 19 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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