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
- Immunotherapy and Immune Responses 3
- Reproductive System and Pregnancy 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 (3 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)Molecular Therapy — Methods & Clinical Development (1 paper)European Journal of Immunology (1 paper)Scientific Reports (1 paper)Transplant International (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Sim L. Tung
15 papers receiving 926 citations
Peers
Comparison fields: 5 of 74
- Immunology 576
- Transplantation 42
- Cancer Research 175
- Oncology 128
- Molecular Biology 348
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 | 188 | |
| 2 | 2018 | 182 | |
| 3 | 2016 | 99 | |
| 4 | 2014 | 90 | |
| 5 | 2014 | 84 | |
| 6 | 2020 | 71 | |
| 7 | 2014 | 56 | |
| 8 | 2020 | 44 | |
| 9 | 2019 | 36 | |
| 10 | 2021 | 29 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 18 | |
| 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 933 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Reproductive System and Pregnancy (3 papers), CAR-T cell therapy research (3 papers), Extracellular vesicles in disease (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (576 citations), Transplantation (42 citations), Cancer Research (175 citations), Oncology (128 citations) and Molecular Biology (348 citations). Sim L. Tung has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Giovanna Lombardi, Lesley A. Smyth, Robert I. Lechler, Dominic A. Boardman, Benedict Seddon, Marilena Letizia, Marco Romano, Qi Peng, Fiona Powrie and Brent S. McKenzie. Their work appears in journals such as Frontiers in Immunology, Molecular Therapy — Methods & Clinical Development, European Journal of Immunology, Scientific Reports and Transplant International.
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.