Ting Su

1.0k citations
79 papers · 724 · h-index 17

Impact in

Papers in

Ting Su

76 papers receiving 720 citations

Peers

Ting Su
Comparison fields: 5 of 89
  • Ophthalmology 128
  • Cognitive Neuroscience 266
  • Radiology, Nuclear Medicine and Imaging 282
  • Sensory Systems 30
  • Biological Psychiatry 14
Replace Gail Maconachie with:
Gail Maconachie United Kingdom
Anh Bui United States
Enzo Maria Vingolo Italy
Andreas Reitner Austria
Tom Fuchs United States
Noriko Morimoto Japan
Christophe Orssaud France
François‐Xavier Borruat Switzerland
Mike S. Hsu United States
Gunnar Gaede Germany
Ting Su relative to Gail Maconachie United Kingdom Gail Maconachie's profile →
Citations per field
00.5×4.7×
Gail Maconachie · 1×
Citations per year

Countries citing papers authored by Ting Su

Since Specialization
Citations

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

Fields of papers citing papers by Ting Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting Su, 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 Ting Su Line = papers co-authored together Ting Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201841
2 201832
3 201931
4 202030
5 201826
6 202325
7 201923
8 201923
9 201922
10 201820
11 202220
12 202119
13 201718
14 201918
15 202118
16 202117
17 201916
18 201716
19 201715
20 202115

About Ting Su

Ting Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Epidemiology, Ophthalmology and Pathology and Forensic Medicine, having authored 79 papers that have together received 724 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Ophthalmology and Visual Impairment Studies (14 papers), Glaucoma and retinal disorders (11 papers), Visual perception and processing mechanisms (8 papers), Ophthalmology and Eye Disorders (6 papers), Ocular Surface and Contact Lens (5 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). The work is most often cited by research in Ophthalmology (128 citations), Cognitive Neuroscience (266 citations), Radiology, Nuclear Medicine and Imaging (282 citations), Sensory Systems (30 citations) and Biological Psychiatry (14 citations). Ting Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Shao, Wen‐Qing Shi, Qing Yuan, You‐Lan Min, Pei‐Wen Zhu, Biao Li, Qi Lin, Nan Jiang, Qian‐Min Ge and Rong‐Bin Liang. Their work appears in journals such as Scientific Reports, Frontiers in Neuroscience, Frontiers in Neurology, Acta Radiologica and Investigative Ophthalmology & Visual Science.

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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