Eva Leung
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
-
- Wnt/β-catenin signaling in development and cancer 1
- Co-authors
- Louise E. Clough (1 shared paper)Sara Sancho (1 shared paper)Daniel T. Patton (1 shared paper)Lucy S. K. Walker (1 shared paper)Wayne Pearce (1 shared paper)Oliver A. Garden (1 shared paper)Bart Vanhaesebroeck (1 shared paper)Klaus Okkenhaug (1 shared paper)
- Journals
- Transplant Immunology (1 paper)eLife (1 paper)American Journal of Transplantation (1 paper)The Journal of Immunology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Eva Leung
6 papers receiving 531 citations
Peers
Comparison fields: 5 of 69
- Immunology 246
- Genetics 90
- Transplantation 20
- Urology 45
- Rehabilitation 38
Countries citing papers authored by Eva Leung
This map shows the geographic impact of Eva Leung'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 Eva Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Leung more than expected).
Fields of papers citing papers by Eva Leung
This network shows the impact of papers produced by Eva Leung. 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 Eva Leung. The network helps show where Eva Leung may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Leung, 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 | 2006 | 255 | |
| 2 | 2016 | 157 | |
| 3 | 2009 | 62 | |
| 4 | 2018 | 34 | |
| 5 | 2006 | 17 | |
| 6 | In-vitro generated human CD4(+)CD25(high) regulatory T cells with indirect allospecificity as potential patient-specific reagents to promote donor-specific transplantation tolerance | 2007 | 8 |
About Eva Leung
Eva Leung is a scholar working on Immunology, Molecular Biology, Cell Biology, Urology and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 533 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Prostate Cancer Treatment and Research (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Hair Growth and Disorders (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Immunology (246 citations), Genetics (90 citations), Transplantation (20 citations), Urology (45 citations) and Rehabilitation (38 citations). Eva Leung has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Louise E. Clough, Sara Sancho, Daniel T. Patton, Lucy S. K. Walker, Wayne Pearce, Oliver A. Garden, Bart Vanhaesebroeck, Klaus Okkenhaug, Wendy C. Rowan and Fadi Jacob. Their work appears in journals such as Transplant Immunology, eLife, American Journal of Transplantation, The Journal of Immunology and Nature Cell 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.