James Man Git Tsui

574 citations
25 papers · 375 · h-index 9

Impact in

Papers in

James Man Git Tsui

23 papers receiving 371 citations

Peers

James Man Git Tsui
Comparison fields: 5 of 53
  • Cognitive Neuroscience 239
  • Cellular and Molecular Neuroscience 82
  • Pulmonary and Respiratory Medicine 65
  • Radiology, Nuclear Medicine and Imaging 33
  • Radiation 12
Replace Shigeaki Nishina with:
Shigeaki Nishina Japan
H.-W. Mueller-Gaertner Germany
Mohammad‐Reza Nazem‐Zadeh Iran
Qingdi Wang Australia
Stacey Wolfson United States
Jean Daly United Kingdom
W. Inhoffen Germany
Takao Endo Japan
Xia Yang China
Madoka Yamazaki Japan
James Man Git Tsui relative to Shigeaki Nishina Japan Shigeaki Nishina's profile →
Citations per field
00.5×4.3×
Shigeaki Nishina · 1×
Citations per year

Countries citing papers authored by James Man Git Tsui

Since Specialization
Citations

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

Fields of papers citing papers by James Man Git Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Man Git Tsui. 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 James Man Git Tsui. The network helps show where James Man Git Tsui may publish in the future.

Co-authors

The 25 scholars most cited alongside James Man Git Tsui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Man Git Tsui Line = papers co-authored together James Man Git Tsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201182
2 200963
3 201060
4 201134
5 201826
6 197723
7 201916
8 202413
9 20239
10 20238
11 20097
12 20186
13 20215
14 20205
15 20185
16 20213
17 20252
18 20192
19 20252
20 20241

About James Man Git Tsui

James Man Git Tsui is a scholar working on Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Surgery, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 375 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Color Science and Applications (3 papers), Prostate Cancer Treatment and Research (3 papers), Advanced Radiotherapy Techniques (3 papers), Neurobiology and Insect Physiology Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Cognitive Neuroscience (239 citations), Cellular and Molecular Neuroscience (82 citations), Pulmonary and Respiratory Medicine (65 citations), Radiology, Nuclear Medicine and Imaging (33 citations) and Radiation (12 citations). James Man Git Tsui has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Christopher C. Pack, Davis M. Glasser, Duje Tadin, Richard T. Born, Catalin Mihalcioiu, Fabio Cury, SK Lam, Phyllis Chan, Martin T. King and Melina Flanagan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Vision, Medical Physics, Radiotherapy and Oncology and Journal of Neurophysiology.

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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