Wei‐Yann Tsai

4.9k citations
29 papers · 3.8k indexed · 2 hit papers · h-index 22
Topics
Statistical Methods and Inference (5 papers)Air Quality and Health Impacts (4 papers)Statistical Methods and Bayesian Inference (4 papers)

In The Last Decade

Wei‐Yann Tsai

29 papers receiving 3.6k citations

Hit Papers

Primary Care Outcomes in Patients Treated by Nurse Practi...200020262008201720002010200400600

Peers

Wei‐Yann Tsai
Comparison fields: 5 of 162
  • Health, Toxicology and Mutagenesis 980
  • General Health Professions 875
  • Cancer Research 572
  • Oncology 428
  • Epidemiology 375
Replace Tebeb Gebretsadik with:
Tebeb Gebretsadik United States
Jonathan S. Schildcrout United States
Barbara S. Hulka United States
Assiamira Ferrara United States
Paul D. Stolley United States
Lars G. Hemkens Switzerland
Michael Barrett United States
Dhruv S. Kazi United States
Larry D. Lynd Canada
Patrick Remington United States
Wei‐Yann Tsai relative to Tebeb Gebretsadik United States Tebeb Gebretsadik's profile →
Citations per field
00.5×6.6×
Tebeb Gebretsadik · 1×
Citations per year

Countries citing papers authored by Wei‐Yann Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Yann Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Yann Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Yann Tsai. A scholar is included among the top collaborators of Wei‐Yann Tsai 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 Wei‐Yann Tsai. Wei‐Yann Tsai 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
#WorkIndexed citations
1 51
2 17
3 45
4 20
5 50
6 23
7 73
8 29
9 31
10 35
11 391
12 8
13 12
14 117
15 498
16 297
17 32
18
Primary Care Outcomes in Patients Treated by Nurse Practitioners or Physiciansbreakdown →
704
19 28
20 223

About Wei‐Yann Tsai

Wei‐Yann Tsai is a scholar working on Family Practice, Statistics and Probability and Health, Toxicology and Mutagenesis, having authored 29 papers that have together received 3.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Air Quality and Health Impacts (4 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Family Practice (302 citations), Health, Toxicology and Mutagenesis (980 citations) and Cancer Research (572 citations). Wei‐Yann Tsai has collaborated with scholars based in United States, Taiwan and South Africa. Frequent co-authors include Frederica P. Perera, Yi-Hsuan Tu, Virginia Rauh, Robin M. Whyatt, Nicholas P. Jewell, Mei‐Cheng Wang, David Camann, Robert L Kane, Annette M Totten and William T. Friedewald. Their work appears in journals such as Nature, JAMA and Journal of Clinical Oncology.

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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