Ming‐Yi Tsai

7.8k citations
39 papers · 971 indexed · h-index 18

Impact in

Papers in

Ming‐Yi Tsai

38 papers receiving 953 citations

Peers

Ming‐Yi Tsai
Comparison fields: 5 of 113
  • Health, Toxicology and Mutagenesis 812
  • Speech and Hearing 184
  • Environmental Engineering 334
  • Transportation 98
  • Automotive Engineering 158
Replace L.-J. Sally Liu with:
L.-J. Sally Liu United States
Leonora Rojas‐Bracho Mexico
Jules Kerckhoffs Netherlands
Allmut Hörmann Germany
Marten Marra Netherlands
Matteo Renzi Italy
Ario Ruprecht Italy
Hongyu You Canada
Holger Eisl United States
Nico Bleux Belgium
Ming‐Yi Tsai relative to L.-J. Sally Liu United States L.-J. Sally Liu's profile →
Citations per field
00.5×5.2×
L.-J. Sally Liu · 1×
Citations per year

Countries citing papers authored by Ming‐Yi Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yi Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Yi Tsai. 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 Ming‐Yi Tsai. The network helps show where Ming‐Yi Tsai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3
Treatable Rapid Progressive Dementia: A First Case Report of Anti-dipeptidyl-peptidase-like Protein 6 Encephalitis in Taiwan.
20214
4 202023
5 201921
6 20191
7 201812
8 201783
9 201663
10 201617
11 201510
12 201551
13 201524
14 201548
15 201434
16 2014187
17 201417
18 201314
19 201322
20 201216

About Ming‐Yi Tsai

Ming‐Yi Tsai is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Transportation, Automotive Engineering and Environmental Engineering, having authored 39 papers that have together received 971 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (31 papers), Vehicle emissions and performance (10 papers), Noise Effects and Management (9 papers), Climate Change and Health Impacts (9 papers), Air Quality Monitoring and Forecasting (8 papers), Urban Transport and Accessibility (7 papers), Energy and Environment Impacts (6 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (812 citations), Speech and Hearing (184 citations), Environmental Engineering (334 citations), Transportation (98 citations) and Automotive Engineering (158 citations). Ming‐Yi Tsai has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Nino Künzli, Nicole Probst‐Hensch, Christian Schindler, Alex Ineichen, Regina E. Ducret-Stich, Harish C. Phuleria, Inmaculada Aguilera, Marloes Eeftens, Emmanuel Schaffner and Reto Meier. Their work appears in journals such as Atmospheric Environment, Environment International, The Science of The Total Environment, Journal of Exposure Science & Environmental Epidemiology and International Journal of Environmental Research and 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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