Wah Jun Tze

831 total citations
34 papers, 667 citations indexed

About

Wah Jun Tze is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wah Jun Tze has authored 34 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 11 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wah Jun Tze's work include Pancreatic function and diabetes (19 papers), Diabetes and associated disorders (10 papers) and Xenotransplantation and immune response (7 papers). Wah Jun Tze is often cited by papers focused on Pancreatic function and diabetes (19 papers), Diabetes and associated disorders (10 papers) and Xenotransplantation and immune response (7 papers). Wah Jun Tze collaborates with scholars based in Canada, United States and Brazil. Wah Jun Tze's co-authors include Joseph Tai, Melvin Lee, Kenneth H. Gabbay, James E. Jan, Jocelyne S. Lapointe, Andrew Q. McCormick, Anders A. F. Sima, Aubrey J. Tingle, Virgil Nathaniel and Susan Cheung and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Gastroenterology.

In The Last Decade

Wah Jun Tze

34 papers receiving 608 citations

Peers

Wah Jun Tze
Comparison fields: 5 of 85
  • Surgery 320
  • Endocrinology, Diabetes and Metabolism 211
  • Genetics 189
  • Pediatrics, Perinatology and Child Health 183
  • Molecular Biology 114
Replace B. Velkeniers with:
B. Velkeniers Belgium
M Colle France
Stefania Di Candia Italy
E Odagiri Pakistan
A. Barreca Italy
P Driscoll United States
Virginia V. Weldon United States
Takehiko Nishisho Japan
Menachem S. Shapiro Israel
Robert F. Elder United States
B. Velkeniers Belgium View profile →
Citations per field, relative to Wah Jun Tze
Wah Jun Tze · 1×
Citations per year, relative to Wah Jun Tze
Wah Jun Tze · 1×

Countries citing papers authored by Wah Jun Tze

Since Specialization
Citations

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

Fields of papers citing papers by Wah Jun Tze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wah Jun Tze. 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 Wah Jun Tze. The network helps show where Wah Jun Tze may publish in the future.

Co-authorship network of co-authors of Wah Jun Tze

This figure shows the co-authorship network connecting the top 25 collaborators of Wah Jun Tze. A scholar is included among the top collaborators of Wah Jun Tze 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 Wah Jun Tze. Wah Jun Tze 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
# Work Indexed citations
1 13
2 9
3 10
4 25
5 5
6 3
7 8
8 14
9 3
10 10
11 18
12 3
13 85
14
Allotransplantation and xenotransplantation of pseudoislets in diabetic rats and mice.
6
15 18
16 5
17 4
18 17
19 6
20 3

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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