Gladys Tan
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Burkholderia infections and melioidosis 9
-
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Complement system in diseases 1
- Immune Response and Inflammation 1
- Co-authors
- Kimberly Noonan (3 shared papers)Ivan Borrello (4 shared papers)Paolo Serafini (2 shared papers)Vincenzo Bronte (1 shared paper)Siew Hoon Sim (5 shared papers)Yi‐Chun Liu (4 shared papers)Eng Eong Ooi (3 shared papers)Hyam I. Levitsky (3 shared papers)
- Journals
- Cancer Research (2 papers)Blood (2 papers)Scientific Reports (1 paper)PLoS Pathogens (1 paper)Infection and Immunity (1 paper)
- Partner nations
- SingaporeUnited StatesThailand
In The Last Decade
Gladys Tan
15 papers receiving 859 citations
Peers
Comparison fields: 5 of 81
- Immunology 480
- Oncology 279
- Molecular Medicine 39
- Epidemiology 271
- Hematology 71
Countries citing papers authored by Gladys Tan
This map shows the geographic impact of Gladys 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 Gladys Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys Tan more than expected).
Fields of papers citing papers by Gladys Tan
This network shows the impact of papers produced by Gladys 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 Gladys Tan. The network helps show where Gladys Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gladys Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 409 | |
| 2 | 2005 | 87 | |
| 3 | 2010 | 65 | |
| 4 | 2009 | 63 | |
| 5 | 2008 | 58 | |
| 6 | 2014 | 54 | |
| 7 | 2009 | 36 | |
| 8 | 2017 | 26 | |
| 9 | 2009 | 25 | |
| 10 | 2007 | 17 | |
| 11 | 2007 | 12 | |
| 12 | 2014 | 10 | |
| 13 | 2014 | 8 | |
| 14 | 2009 | 3 | |
| 15 | 2006 | 1 |
About Gladys Tan
Gladys Tan is a scholar working on Epidemiology, Immunology, Surgery, Mechanics of Materials and Oncology, having authored 15 papers that have together received 874 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (9 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Case Reports on Hematomas (1 paper), Metal and Thin Film Mechanics (1 paper), Complement system in diseases (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (480 citations), Oncology (279 citations), Molecular Medicine (39 citations), Epidemiology (271 citations) and Hematology (71 citations). Gladys Tan has collaborated with scholars based in Singapore, United States and Thailand. Frequent co-authors include Kimberly Noonan, Ivan Borrello, Paolo Serafini, Vincenzo Bronte, Siew Hoon Sim, Yi‐Chun Liu, Eng Eong Ooi, Hyam I. Levitsky, Mark Bonyhadi and Jahan S. Khalili. Their work appears in journals such as Cancer Research, Blood, Scientific Reports, PLoS Pathogens and Infection and Immunity.
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.