Sim L. Tung
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Transplantation top 5%
Papers in
- Immunology 10
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Reproductive System and Pregnancy 3
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 2
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- Extracellular vesicles in disease 3
- Co-authors
- Giovanna Lombardi (10 shared papers)Lesley A. Smyth (7 shared papers)Robert I. Lechler (8 shared papers)Dominic A. Boardman (5 shared papers)Benedict Seddon (4 shared papers)Marilena Letizia (3 shared papers)Marco Romano (1 shared paper)Qi Peng (4 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Scientific Reports (1 paper)The Journal of Immunology (1 paper)PLoS Computational Biology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Sim L. Tung
15 papers receiving 904 citations
Peers
Comparison fields: 5 of 78
- Immunology 597
- Transplantation 48
- Cancer Research 182
- Molecular Biology 351
- Oncology 130
Countries citing papers authored by Sim L. Tung
This map shows the geographic impact of Sim L. Tung'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 Sim L. Tung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sim L. Tung more than expected).
Fields of papers citing papers by Sim L. Tung
This network shows the impact of papers produced by Sim L. Tung. 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 Sim L. Tung. The network helps show where Sim L. Tung may publish in the future.
Co-authors
The 25 scholars most cited alongside Sim L. Tung, 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 | 2016 | 182 | |
| 2 | 2018 | 174 | |
| 3 | 2016 | 98 | |
| 4 | 2014 | 90 | |
| 5 | 2014 | 84 | |
| 6 | 2020 | 69 | |
| 7 | 2014 | 56 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 36 | |
| 10 | 2021 | 28 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 17 | |
| 13 | 2012 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2012 | 3 |
About Sim L. Tung
Sim L. Tung is a scholar working on Immunology, Molecular Biology, Oncology, Transplantation and Surgery, having authored 15 papers that have together received 910 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Extracellular vesicles in disease (3 papers), Reproductive System and Pregnancy (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Immunology (597 citations), Transplantation (48 citations), Cancer Research (182 citations), Molecular Biology (351 citations) and Oncology (130 citations). Sim L. Tung has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Giovanna Lombardi, Lesley A. Smyth, Robert I. Lechler, Dominic A. Boardman, Benedict Seddon, Marilena Letizia, Marco Romano, Qi Peng, Holm H. Uhlig and Fiona Powrie. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, The Journal of Immunology, PLoS Computational Biology and Frontiers in Cell and Developmental Biology.
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.