Leo D. Wang
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 10
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
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- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Amy J. Wagers (6 shared papers)Diana Gumber (2 shared papers)Marcus R. Clark (3 shared papers)Christine E. Brown (3 shared papers)Silke E. Lindner (2 shared papers)Shereé M. Johnson (1 shared paper)Anthony B. Cooper (2 shared papers)Phi T. Nguyen (2 shared papers)
- Journals
- Blood (2 papers)iScience (1 paper)Cancer Research (1 paper)Immunology (1 paper)ImmunoHorizons (1 paper)
- Partner nations
- United StatesMacaoCanada
In The Last Decade
Leo D. Wang
23 papers receiving 913 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 330
- Hematology 170
- Oncology 396
- Genetics 118
- Molecular Biology 336
Countries citing papers authored by Leo D. Wang
This map shows the geographic impact of Leo D. Wang'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 Leo D. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo D. Wang more than expected).
Fields of papers citing papers by Leo D. Wang
This network shows the impact of papers produced by Leo D. Wang. 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 Leo D. Wang. The network helps show where Leo D. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Leo D. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improving CAR-T immunotherapy: Overcoming the challenges of T cell exhaustion Hit paper breakdown → | 2022 | 248 |
| 2 | 2011 | 247 | |
| 3 | 2020 | 109 | |
| 4 | 2003 | 62 | |
| 5 | 2016 | 55 | |
| 6 | 2017 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2021 | 27 | |
| 9 | 2005 | 15 | |
| 10 | 2013 | 14 | |
| 11 | 2016 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2004 | 13 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Leo D. Wang
Leo D. Wang is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Biomedical Engineering, having authored 25 papers that have together received 924 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (5 papers), Nanowire Synthesis and Applications (4 papers), Immune Cell Function and Interaction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Virus-based gene therapy research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (330 citations), Hematology (170 citations), Oncology (396 citations), Genetics (118 citations) and Molecular Biology (336 citations). Leo D. Wang has collaborated with scholars based in United States, Macao and Canada. Frequent co-authors include Amy J. Wagers, Diana Gumber, Marcus R. Clark, Christine E. Brown, Silke E. Lindner, Shereé M. Johnson, Anthony B. Cooper, Phi T. Nguyen, Weili Sun and Anna Pawłowska. Their work appears in journals such as Blood, iScience, Cancer Research, Immunology and ImmunoHorizons.
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.