Bee Shin Tan

605 total citations
7 papers, 502 citations indexed

About

Bee Shin Tan is a scholar working on Immunology, Molecular Biology and Small Animals. According to data from OpenAlex, Bee Shin Tan has authored 7 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 1 paper in Small Animals. Recurrent topics in Bee Shin Tan's work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (4 papers) and vaccines and immunoinformatics approaches (3 papers). Bee Shin Tan is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (4 papers) and vaccines and immunoinformatics approaches (3 papers). Bee Shin Tan collaborates with scholars based in Australia, United States and Switzerland. Bee Shin Tan's co-authors include Weisan Chen, Jonathan Cebon, Ian D. Davis, Lisa M. Ebert, Sarah E. Russell, Judy Browning, Nektaria Dimopoulos, Heather Jackson, Damien Zanker and Suzanne Svobodová and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Clinical Cancer Research.

In The Last Decade

Bee Shin Tan

7 papers receiving 498 citations

Peers

Bee Shin Tan
Comparison fields: 5 of 54
  • Immunology 382
  • Oncology 220
  • Molecular Biology 151
  • Epidemiology 76
  • Cancer Research 36
Replace Susanne Oberle with:
Susanne Oberle Switzerland
Fabrice Benchetrit Israel
Pheh-Ping Chang Australia
Francesc Rudilla Spain
Darin A. Wick Canada
Baukje‐Nynke Hoogeboom Netherlands
Cédric Touvrey Switzerland
Mengyong Yan United Kingdom
Robert Weth Germany
Korina G. Veenstra United States
Susanne Oberle Switzerland View profile →
Citations per field, relative to Bee Shin Tan
Bee Shin Tan · 1×
Citations per year, relative to Bee Shin Tan
Bee Shin Tan · 1×

Countries citing papers authored by Bee Shin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bee Shin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bee Shin Tan. 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 Bee Shin Tan. The network helps show where Bee Shin Tan may publish in the future.

Co-authorship network of co-authors of Bee Shin Tan

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 15
2 46
3 70
4 100
5 78
6 41
7 152

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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2026