Shih‐Bin Su

57 papers receiving 932 citations

Peers

Shih‐Bin Su
Comparison fields: 5 of 156
  • Speech and Hearing 95
  • Sensory Systems 62
  • Medical Laboratory Technology 13
  • Health, Toxicology and Mutagenesis 77
  • Epidemiology 193
Replace Seyed Mahmoud Latifi with:
Seyed Mahmoud Latifi Iran
Patricia Clark Mexico
Jason E. Lang United States
Hamidreza Jamaati Iran
Shou‐Jen Lan Taiwan
Xiaoyue Xu China
Gil Harari Israel
Keiko Asakura Japan
William Daniell United States
Ghasem Yadegarfar Iran
Shih‐Bin Su relative to Seyed Mahmoud Latifi Iran Seyed Mahmoud Latifi's profile →
Citations per field
00.5×4.4×
Seyed Mahmoud Latifi · 1×
Citations per year

Countries citing papers authored by Shih‐Bin Su

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Bin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 201681
3 200566
4 202257
5 200846
6 202139
7 200835
8 200630
9 200529
10 201129
11 201228
12 201722
13 201422
14 201922
15 201520
16 201119
17 200217
18 201816
19 201616
20 200816

About Shih‐Bin Su

Shih‐Bin Su is a scholar working on Epidemiology, Infectious Diseases, General Health Professions, Pharmacology and Public Health, Environmental and Occupational Health, having authored 61 papers that have together received 965 indexed citations. Recurring topics across this work include Workplace Health and Well-being (6 papers), Musculoskeletal pain and rehabilitation (4 papers), Thermoregulation and physiological responses (4 papers), Healthcare professionals’ stress and burnout (3 papers), Pesticide Exposure and Toxicity (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Climate Change and Health Impacts (3 papers) and Thermal Regulation in Medicine (3 papers). The work is most often cited by research in Speech and Hearing (95 citations), Sensory Systems (62 citations), Medical Laboratory Technology (13 citations), Health, Toxicology and Mutagenesis (77 citations) and Epidemiology (193 citations). Shih‐Bin Su has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include How‐Ran Guo, Kow‐Tong Chen, Kou-Huang Chen, Hung‐Jung Lin, Chien‐Cheng Huang, Tsair‐Wei Chien, Chih‐Wei Lu, Jhi‐Joung Wang, Chien‐Chin Hsu and Hsien‐Yi Wang. Their work appears in journals such as Medicine, Scientific Reports, Renal Failure, American Journal of Tropical Medicine and Hygiene and BMC Public Health.

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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