Runzhuo Ma

1.1k total citations · 1 hit paper
49 papers, 570 citations indexed

About

Runzhuo Ma is a scholar working on Surgery, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Runzhuo Ma has authored 49 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 17 papers in Biomedical Engineering and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Runzhuo Ma's work include Surgical Simulation and Training (27 papers), Anatomy and Medical Technology (16 papers) and Cardiac, Anesthesia and Surgical Outcomes (12 papers). Runzhuo Ma is often cited by papers focused on Surgical Simulation and Training (27 papers), Anatomy and Medical Technology (16 papers) and Cardiac, Anesthesia and Surgical Outcomes (12 papers). Runzhuo Ma collaborates with scholars based in United States, China and Sweden. Runzhuo Ma's co-authors include Andrew J. Hung, J Knudsen, Umar Ghaffar, Jessica H. Nguyen, Christian von Wagner, Brian J. Miles, Dani Kiyasseh, Lulin Ma, Daniel A. Donoho and Animashree Anandkumar and has published in prestigious journals such as Nature Communications, Oncogene and The Journal of Urology.

In The Last Decade

Runzhuo Ma

47 papers receiving 559 citations

Hit Papers

Clinical applications of ... 2024 2026 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runzhuo Ma United States 14 327 207 127 108 97 49 570
Daichi Kitaguchi Japan 15 501 1.5× 245 1.2× 110 0.9× 92 0.9× 106 1.1× 71 747
Barbara Seeliger France 17 422 1.3× 234 1.1× 106 0.8× 54 0.5× 23 0.2× 55 723
Pieter De Backer Belgium 11 248 0.8× 80 0.4× 180 1.4× 37 0.3× 32 0.3× 47 408
Lingyao Yang United States 10 137 0.4× 36 0.2× 26 0.2× 73 0.7× 41 0.4× 17 475
Hannah Weiss United States 10 151 0.5× 57 0.3× 58 0.5× 42 0.4× 42 0.4× 29 403
Rutger M. Schols Netherlands 15 435 1.3× 223 1.1× 209 1.6× 28 0.3× 8 0.1× 33 701
Barbaros S. Erdal United States 13 74 0.2× 113 0.5× 188 1.5× 15 0.1× 111 1.1× 30 603
Emily B. Tsai United States 10 207 0.6× 49 0.2× 167 1.3× 19 0.2× 15 0.2× 17 548
Akitoshi Shimazaki Japan 12 50 0.2× 164 0.8× 202 1.6× 23 0.2× 74 0.8× 13 625

Countries citing papers authored by Runzhuo Ma

Since Specialization
Citations

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

Fields of papers citing papers by Runzhuo Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runzhuo Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Runzhuo Ma. A scholar is included among the top collaborators of Runzhuo Ma 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 Runzhuo Ma. Runzhuo Ma 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.
Ma, Runzhuo. (2025). Surgical gestures—An emerging field for surgical assessment and training. 3(3). 130–135. 1 indexed citations
2.
Knudsen, J, Hooman Djaladat, Runzhuo Ma, et al.. (2024). Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation. Journal of surgical education. 81(3). 422–430. 2 indexed citations
3.
Ma, Runzhuo, Anand Malpani, Ahmed Ghazi, et al.. (2024). Capturing relationships between suturing sub-skills to improve automatic suturing assessment. npj Digital Medicine. 7(1). 152–152. 7 indexed citations
4.
Knudsen, J, Umar Ghaffar, Runzhuo Ma, & Andrew J. Hung. (2024). Clinical applications of artificial intelligence in robotic surgery. Journal of Robotic Surgery. 18(1). 102–102. 97 indexed citations breakdown →
5.
Ma, Runzhuo, Alireza Ghoreifi, Seyedeh‐Sanam Ladi‐Seyedian, et al.. (2024). The effect of enhanced recovery after surgery on oncologic outcome following radical cystectomy for urothelial bladder carcinoma. Surgical Oncology. 54. 102061–102061. 2 indexed citations
6.
Kiyasseh, Dani, et al.. (2023). PD30-05 AI-BASED VIDEO FEEDBACK TO IMPROVE NOVICE PERFORMANCE ON A ROBOTIC SUTURING TASK. The Journal of Urology. 209(Supplement 4). 2 indexed citations
7.
Kiyasseh, Dani, Runzhuo Ma, Brian J. Miles, et al.. (2023). A vision transformer for decoding surgeon activity from surgical videos. Nature Biomedical Engineering. 7(6). 780–796. 71 indexed citations
8.
Knudsen, J, et al.. (2023). Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma. Urologic Clinics of North America. 51(1). 47–62. 7 indexed citations
10.
Ma, Runzhuo, et al.. (2023). Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer. Current Urology Reports. 24(5). 231–240. 12 indexed citations
11.
Ma, Runzhuo, et al.. (2022). Association of Suturing Technical Skill Assessment Scores Between Virtual Reality Simulation and Live Surgery. Journal of Endourology. 36(10). 1388–1394. 13 indexed citations
12.
Lee, Ryan S., Runzhuo Ma, Jessica H. Nguyen, et al.. (2022). Machine Learning to Delineate Surgeon and Clinical Factors That Anticipate Positive Surgical Margins After Robot-Assisted Radical Prostatectomy. Journal of Endourology. 36(9). 1192–1198. 8 indexed citations
13.
Ma, Runzhuo, Yinchu Cheng, Pengxiang Zhou, et al.. (2022). Prognostic Value of Tumor Size in Patients with Upper Tract Urothelial Carcinoma: A Systematic Review and Meta-analysis. European Urology Open Science. 42. 19–29. 9 indexed citations
14.
Ma, Runzhuo, et al.. (2021). Innovations in Urologic Surgical Training. Current Urology Reports. 22(4). 26–26. 16 indexed citations
15.
Ma, Runzhuo, et al.. (2021). Technical Skill Impacts the Success of Sequential Robotic Suturing Substeps. Journal of Endourology. 36(2). 273–278. 4 indexed citations
16.
Liu, Cheng, Li Liu, Kun Wang, et al.. (2020). VHL-HIF-2α axis-induced SMYD3 upregulation drives renal cell carcinoma progression via direct trans-activation of EGFR. Oncogene. 39(21). 4286–4298. 24 indexed citations
17.
Wang, Xiang‐Ming, Yang Lü, Yimeng Song, et al.. (2020). Integrative genomic study of Chinese clear cell renal cell carcinoma reveals features associated with thrombus. Nature Communications. 11(1). 739–739. 41 indexed citations
18.
Zhong, Wenlong, Runzhuo Ma, Sida Cheng, et al.. (2019). Clinical Characteristics and Surgical Management of Adult Adrenal Teratoma: A 15-year Experience and Systematic Review of the Literature. Urology. 135. 71–75. 5 indexed citations
19.
Zhang, Qiming, Runzhuo Ma, Zhuo Liu, Shudong Zhang, & Lulin Ma. (2019). A Contemporary High-Volume Center Analysis of Postoperative Complications Following Surgical Management of Renal Cell Carcinoma with Tumor Thrombus. Urologia Internationalis. 102(4). 427–434. 4 indexed citations
20.
Fang, Dong, Jiwei Huang, Yige Bao, et al.. (2017). Characteristics and regional difference of Chinese upper tract urothelial carcinoma patients: a multi-center study by CUDA-UTUC Collaborative Group. Zhonghua miniao waike zazhi. 38(12). 885–890. 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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