Leo D. Wang
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Immunology 11
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Oncology 10
- CAR-T cell therapy research 8
- Co-authors
- Amy J. Wagers (6 shared papers)Diana Gumber (3 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)EBioMedicine (2 papers)Advanced Science (1 paper)Experimental Hematology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesMacaoHungary
In The Last Decade
Leo D. Wang
23 papers receiving 950 citations
Leo D. Wang's Hit Papers
Peers
Comparison fields: 5 of 85
- Hematology 165
- Oncology 388
- Immunology 302
- Genetics 112
- Molecular Biology 322
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 26 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 | 270 |
| 2 | 2011 | 250 | |
| 3 | 2020 | 113 | |
| 4 | 2003 | 62 | |
| 5 | 2016 | 55 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 36 | |
| 8 | 2021 | 27 | |
| 9 | 2005 | 15 | |
| 10 | 2013 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2004 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2024 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Leo D. Wang
Leo D. Wang is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Biomedical Engineering, having authored 26 papers that have together received 961 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Nanowire Synthesis and Applications (4 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (165 citations), Oncology (388 citations), Immunology (302 citations), Genetics (112 citations) and Molecular Biology (322 citations). Leo D. Wang has collaborated with scholars based in United States, Macao and Hungary. 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, Samantha Ross and Areum Han. Their work appears in journals such as Blood, EBioMedicine, Advanced Science, Experimental Hematology and Cell Reports.
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.