Julie Tai

597 total citations
11 papers, 508 citations indexed

About

Julie Tai is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Julie Tai has authored 11 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Julie Tai's work include Coronary Interventions and Diagnostics (5 papers), Molecular Biology Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Julie Tai is often cited by papers focused on Coronary Interventions and Diagnostics (5 papers), Molecular Biology Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Julie Tai collaborates with scholars based in United States, United Kingdom and South Korea. Julie Tai's co-authors include Renhui Yang, Hongkui Jin, David Lowe, Kenneth J. Hillan, Shoudan Liang, Richard M. Lawn, Roland Somogyi, Dov Shiffman, Lesley A. Brown and Audrey D. Goddard and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Biotechnology.

In The Last Decade

Julie Tai

11 papers receiving 476 citations

Peers

Julie Tai
Comparison fields: 5 of 70
  • Molecular Biology 243
  • Surgery 144
  • Cardiology and Cardiovascular Medicine 103
  • Immunology 69
  • Cancer Research 58
Replace Unnikrishnan M. Chandrasekharan with:
Unnikrishnan M. Chandrasekharan United States
Xiaojun Huang China
Timothy R. McPhee Canada
Iryna Ilkavets Germany
Roselyne Tournaire France
Xuexiu Zheng South Korea
Mauricio González‐Iriarte Spain
Yanru Guo China
Sherket B. Peterson United States
Nicole C. Smits United States
Unnikrishnan M. Chandrasekharan United States View profile →
Citations per field, relative to Julie Tai
Julie Tai · 1×
Citations per year, relative to Julie Tai
Julie Tai · 1×

Countries citing papers authored by Julie Tai

Since Specialization
Citations

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

Fields of papers citing papers by Julie Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Tai. A scholar is included among the top collaborators of Julie Tai 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 Julie Tai. Julie Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 20
2 6
3 8
4 6
5 64
6 27
7 109
8 103
9 21
10 134
11 10

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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