Shing Jen Tai

2.6k citations
10 papers · 2.1k indexed · 2 hit papers · h-index 7
Topics
Virus-based gene therapy research (7 papers)Hemophilia Treatment and Research (5 papers)Blood Coagulation and Thrombosis Mechanisms (5 papers)
Partner nations
United States

In The Last Decade

Shing Jen Tai

10 papers receiving 2.0k citations

Hit Papers

Evidence for gene transfer and expression of factor IX in...200020262008201720002003250500750

Peers

Shing Jen Tai
Comparison fields: 5 of 76
  • Genetics 1.7k
  • Molecular Biology 1.5k
  • Oncology 724
  • Hematology 321
  • Cardiology and Cardiovascular Medicine 220
Replace Denise E. Sabatino with:
Denise E. Sabatino United States
Samuel L. Murphy United States
Giridhara R. Jayandharan India
Ou Cao United States
Hideki Hanawa Japan
Johannes C.M. van der Loo United States
Alessio Cantore Italy
Hengjun Chao United States
Fabrizio Benedicenti Italy
Lindsey A. George United States
Shing Jen Tai relative to Denise E. Sabatino United States Denise E. Sabatino's profile →
Citations per field
00.5×1.5×
Denise E. Sabatino · 1×
Citations per year

Countries citing papers authored by Shing Jen Tai

Since Specialization
Citations

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

Fields of papers citing papers by Shing Jen Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shing Jen Tai

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 33
2 6
3 25
4
AAV-mediated factor IX gene transfer to skeletal muscle in patients with severe hemophilia Bbreakdown →
578
5
Evidence for gene transfer and expression of factor IX in haemophilia B patients treated with an AAV vectorbreakdown →
782
6 102
7 163
8 5
9 6
10 397

About Shing Jen Tai

Shing Jen Tai is a scholar working on Hematology, Genetics and Genetics, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Hemophilia Treatment and Research (5 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). The work is most often cited by research in Genetics (1.7k citations), Hematology (321 citations) and Oncology (724 citations). Shing Jen Tai has collaborated with scholars based in United States. Frequent co-authors include Katherine A. High, Roland W. Herzog, Linda B. Couto, J. Nathan Hagstrom, Alan McClelland, Alan W. Flake, Mark A. Kay, Peter J. Larson, Bertil Glader and Erik D. Skarsgard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.

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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