Ting Gan

910 total citations
36 papers, 648 citations indexed

About

Ting Gan is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology and Environmental Engineering. According to data from OpenAlex, Ting Gan has authored 36 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 8 papers in Epidemiology and 7 papers in Environmental Engineering. Recurrent topics in Ting Gan's work include Air Quality and Health Impacts (12 papers), Air Quality Monitoring and Forecasting (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Ting Gan is often cited by papers focused on Air Quality and Health Impacts (12 papers), Air Quality Monitoring and Forecasting (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Ting Gan collaborates with scholars based in China, Australia and United States. Ting Gan's co-authors include Wei Liang, Huachao Yang, Xianchun Liao, Yinyan Gao, Lili Jiang, Wei Zhang, Yihui Wang, Yu Li, Xiuxia Li and Guowu Ding and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Ting Gan

33 papers receiving 645 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ting Gan China 12 234 176 109 80 62 36 648
Shazia Rehman China 12 157 0.7× 70 0.4× 80 0.7× 13 0.2× 15 0.2× 48 564
Jingzhong Li China 11 56 0.2× 121 0.7× 47 0.4× 88 1.1× 28 0.5× 47 507
Bing Guo China 18 66 0.3× 558 3.2× 161 1.5× 21 0.3× 170 2.7× 58 1.1k
Yuliang Zou China 17 28 0.1× 100 0.6× 27 0.2× 26 0.3× 72 1.2× 47 673
Xiangxue Zhang China 15 57 0.2× 201 1.1× 79 0.7× 49 0.6× 25 0.4× 30 564
Xiaoqin Song China 12 43 0.2× 140 0.8× 39 0.4× 14 0.2× 48 0.8× 26 415
Ning Kang China 15 20 0.1× 159 0.9× 47 0.4× 11 0.1× 106 1.7× 87 536
Darren Ruddell United States 10 38 0.2× 392 2.2× 208 1.9× 32 0.4× 27 0.4× 12 735
Yanyan Wu China 15 36 0.2× 167 0.9× 45 0.4× 15 0.2× 34 0.5× 38 601

Countries citing papers authored by Ting Gan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Gan. A scholar is included among the top collaborators of Ting Gan 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 Ting Gan. Ting Gan 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
1.
Liu, Shikun, et al.. (2025). Multi-type vehicles’ contributions to air pollution using mobile monitoring and explainable machine-learning. Transportation Research Part D Transport and Environment. 146. 104890–104890. 1 indexed citations
2.
Gan, Ting, et al.. (2025). Long-term exposure to PM1 and liver cancer mortality: Insights into the role of smaller particulate fractions. Ecotoxicology and Environmental Safety. 300. 118467–118467. 1 indexed citations
3.
Lu, Cynthia, Ian Barr, Stephen Lambert, et al.. (2024). Developing a Research Network of Early Warning Systems for Infectious Diseases Transmission Between China and Australia. China CDC Weekly. 6(30). 740–753. 2 indexed citations
4.
Gan, Ting, Yunning Liu, Hilary Bambrick, Maigeng Zhou, & Wenbiao Hu. (2024). Liver Cancer Mortality Disparities at a Fine Scale Among Subpopulations in China: Nationwide Analysis of Spatial and Temporal Trends. JMIR Public Health and Surveillance. 10. e54967–e54967. 1 indexed citations
5.
Liu, Jie, et al.. (2024). Current status and perspectives in environmental oncology. Chronic Diseases and Translational Medicine. 10(4). 293–301.
6.
Gao, Yinyan, et al.. (2024). Combined healthy lifestyle behaviours and incident dementia: A systematic review and dose–response meta-analysis of cohort studies. International Journal of Nursing Studies. 156. 104781–104781. 3 indexed citations
7.
Gan, Ting, Hilary Bambrick, Yumin Li, Kristie L. Ebi, & Wenbiao Hu. (2024). Long-Term Effect of Temperature Increase on Liver Cancer in Australia: A Bayesian Spatial Analysis. Environmental Health Perspectives. 132(9). 97007–97007.
8.
9.
Zhang, Lu, Lei Yuan, Ting Gan, et al.. (2023). The prevalence of diabetes distress in Chinese patients with type 2 diabetes: A systematic review and meta-analysis. Diabetes Research and Clinical Practice. 206. 110996–110996. 8 indexed citations
10.
Gan, Ting, Hilary Bambrick, Kristie L. Ebi, & Wenbiao Hu. (2022). Does global warming increase the risk of liver cancer in Australia? Perspectives based on spatial variability. The Science of The Total Environment. 859(Pt 2). 160412–160412. 3 indexed citations
11.
Gan, Ting, et al.. (2022). The prevalence of alexithymia in psoriasis: A systematic review and meta-analysis. Journal of Psychosomatic Research. 161. 111017–111017. 9 indexed citations
12.
Gan, Ting, Hilary Bambrick, Shilu Tong, & Wenbiao Hu. (2022). Air pollution and liver cancer: A systematic review. Journal of Environmental Sciences. 126. 817–826. 21 indexed citations
13.
Huo, Yan, Yana Bai, Chun Yin, et al.. (2021). [Analysis on influencing factors for nonalcoholic fatty liver disease in Jinchang cohort].. PubMed. 42(3). 493–498. 2 indexed citations
14.
Jiang, Lili, Yinyan Gao, Wenbo He, et al.. (2020). Cesarean section and risk of childhood leukemia: a systematic review and meta-analysis. World Journal of Pediatrics. 16(5). 471–479. 11 indexed citations
15.
Gan, Ting, Huachao Yang, Wei Liang, & Xianchun Liao. (2020). Do economic development and population agglomeration inevitably aggravate haze pollution in China? New evidence from spatial econometric analysis. Environmental Science and Pollution Research. 28(5). 5063–5079. 45 indexed citations
16.
Gao, Yinyan, Ting Gan, Lili Jiang, et al.. (2019). Association between shift work and risk of type 2 diabetes mellitus: a systematic review and dose-response meta-analysis of observational studies. Chronobiology International. 37(1). 29–46. 82 indexed citations
17.
18.
Cheng, Zhiyuan, Ning Cheng, Dian Shi, et al.. (2019). The Relationship between Nkx2.1 and DNA Oxidative Damage Repair in Nickel Smelting Workers: Jinchang Cohort Study. International Journal of Environmental Research and Public Health. 16(1). 120–120. 5 indexed citations
19.
Zhang, Jianping, Ning Cheng, Yubao Ma, et al.. (2018). Liver Enzymes, Fatty Liver and Type 2 Diabetes Mellitus in a Jinchang Cohort: A Prospective Study in Adults. Canadian Journal of Diabetes. 42(6). 652–658. 16 indexed citations
20.
Gan, Ting, et al.. (2013). Foxp3 (−/ATT) Polymorphism Contributes to the Susceptibility of Preeclampsia. PLoS ONE. 8(4). e59696–e59696. 28 indexed citations

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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