Ting Xia

111 papers receiving 1.8k citations

Peers

Ting Xia
Comparison fields: 5 of 172
  • Transportation 156
  • Global and Planetary Change 381
  • Environmental Engineering 232
  • Water Science and Technology 168
  • Health, Toxicology and Mutagenesis 155
Replace Wenliang Liu with:
Wenliang Liu China
Qiao Li China
Yang Wang China
Liming Liu China
Ahmad Makmom Abdullah Malaysia
Deborah H. Bennett United States
Mohd Khairul Amri Kamarudin Malaysia
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David C. Wheeler United States
Abdul Aziz Jemain Malaysia
Ting Xia relative to Wenliang Liu China Wenliang Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ting Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ting Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015221
2 2014153
3 201699
4 199481
5 201679
6 202074
7 201369
8 201465
9 201755
10 202048
11 201847
12 201741
13 199335
14 202234
15 202333
16 201530
17 202329
18 201627
19 201827
20 202024

About Ting Xia

Ting Xia is a scholar working on Anesthesiology and Pain Medicine, Radiological and Ultrasound Technology, Geriatrics and Gerontology, Public Health, Environmental and Occupational Health and Safety, Risk, Reliability and Quality, having authored 128 papers that have together received 1.9k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (24 papers), Pain Management and Opioid Use (14 papers), Sleep and Work-Related Fatigue (10 papers), Occupational Health and Safety Research (10 papers), Musculoskeletal pain and rehabilitation (9 papers), Pharmaceutical Practices and Patient Outcomes (8 papers), Traffic and Road Safety (8 papers) and Workplace Health and Well-being (6 papers). The work is most often cited by research in Transportation (156 citations), Global and Planetary Change (381 citations), Environmental Engineering (232 citations), Water Science and Technology (168 citations) and Health, Toxicology and Mutagenesis (155 citations). Ting Xia has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Shona Crabb, Ying Zhang, Pushan Shah, William P. Kustas, Roy A. Jensen, Alex Collie, Alana Hansen, Monika Nitschke, María Mar Alsina and Joseph G. Alfieri. Their work appears in journals such as International Journal of Clinical Pharmacy, Journal of Transport & Health, Scientific Reports, Pain and Drug and Alcohol Review.

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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