Runzhuo Ma

1.1k citations
49 papers · 570 indexed · 1 hit paper · h-index 14
Topics
Surgical Simulation and Training (27 papers)Anatomy and Medical Technology (16 papers)Cardiac, Anesthesia and Surgical Outcomes (12 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Runzhuo Ma

47 papers receiving 559 citations

Hit Papers

Clinical applications of artificial intelligence in robot...2024202620252024255075

Peers

Runzhuo Ma
Comparison fields: 5 of 85
  • Surgery 327
  • Biomedical Engineering 207
  • Pulmonary and Respiratory Medicine 127
  • Cardiology and Cardiovascular Medicine 108
  • Health Informatics 97
Replace Barbara Seeliger with:
Barbara Seeliger France
Lingyao Yang United States
Marco Bologna Italy
Barbaros S. Erdal United States
Beibei Jiang China
Maurice Pradella Switzerland
Pencilla Lang Canada
Hannah Weiss United States
Guangyao Wu Netherlands
Faraz Farhadi United States
Runzhuo Ma relative to Barbara Seeliger France Barbara Seeliger's profile →
Citations per field
00.5×4.2×
Barbara Seeliger · 1×
Citations per year

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
#WorkIndexed citations
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Clinical applications of artificial intelligence in robotic surgerybreakdown →
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About Runzhuo Ma

Runzhuo Ma is a scholar working on Health Informatics, Surgery and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 570 indexed citations. Recurring topics across this work include Surgical Simulation and Training (27 papers), Anatomy and Medical Technology (16 papers) and Cardiac, Anesthesia and Surgical Outcomes (12 papers). The work is most often cited by research in Health Informatics (97 citations), Surgery (327 citations) and Cardiology and Cardiovascular Medicine (108 citations). Runzhuo Ma has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Andrew J. Hung, J Knudsen, Umar Ghaffar, Jessica H. Nguyen, Christian von Wagner, Lulin Ma, Dani Kiyasseh, Brian J. Miles, Animashree Anandkumar and Steven Cen. Their work appears in journals such as Nature Communications, Oncogene and The Journal of Urology.

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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