Ro‐Ting Lin

44.7k citations
64 papers · 1.0k · h-index 18

Impact in

Papers in

Ro‐Ting Lin

59 papers receiving 996 citations

Peers

Ro‐Ting Lin
Comparison fields: 5 of 140
  • Health, Toxicology and Mutagenesis 292
  • Pulmonary and Respiratory Medicine 272
  • General Health Professions 209
  • Health 66
  • Modeling and Simulation 31
Replace Tze-Wai Wong with:
Tze-Wai Wong Hong Kong
Małgorzata Kowalska Poland
Lingxia Zeng China
Deborah S.K. Thomas United States
Angelo d’Errico Italy
Dora C. Pearce Australia
Virginia Lope Spain
Damien McElvenny United Kingdom
Heidi A. Hanson United States
Emilio Gianicolo Italy
Ro‐Ting Lin relative to Tze-Wai Wong Hong Kong Tze-Wai Wong's profile →
Citations per field
00.5×4.2×
Tze-Wai Wong · 1×
Citations per year

Countries citing papers authored by Ro‐Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ro‐Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007175
2 201278
3 202177
4
Prevalence of dementia in an urban area in taiwan.
199671
5 200950
6 201841
7 200641
8 201737
9 201432
10 201932
11 200831
12 201829
13 201929
14 202023
15 202022
16 201720
17 201918
18 201818
19 201817
20 201816

About Ro‐Ting Lin

Ro‐Ting Lin is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions, Pulmonary and Respiratory Medicine, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (16 papers), Occupational and environmental lung diseases (14 papers), Workplace Health and Well-being (9 papers), Employment and Welfare Studies (8 papers), Sleep and Work-Related Fatigue (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Environmental Justice and Health Disparities (5 papers) and Climate Change and Health Impacts (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (292 citations), Pulmonary and Respiratory Medicine (272 citations), General Health Professions (209 citations), Health (66 citations) and Modeling and Simulation (31 citations). Ro‐Ting Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chang‐Chuan Chan, Lung-Chang Chien, Ken Takahashi, David C. Christiani, Ya‐Mei Chen, Cheng-Kuan Lin, Sugio Furuya, Chin‐Chi Kuo, Yu-Ting Lin and Donald Wilson. Their work appears in journals such as Scientific Reports, International Journal of Environmental Research and Public Health, Safety and Health at Work, BMJ Open and Environmental 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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