Li‐Tzu Wang
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
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- Immune cells in cancer
Papers in
- Genetics 14
- Mesenchymal stem cell research 14
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- Immune cells in cancer 4
- Reproductive System and Pregnancy 2
- Co-authors
- B. Linju Yen (14 shared papers)Ming‐Shyen Yen (13 shared papers)Huey‐Kang Sytwu (10 shared papers)Ko‐Jiunn Liu (10 shared papers)Kenneth K. Wu (1 shared paper)Pei‐Ju Hsu (6 shared papers)Kevin Sheng‐Kai (9 shared papers)Oscar K. Lee (2 shared papers)
- Journals
- Stem Cells Translational Medicine (4 papers)Journal of Biomedical Science (2 papers)Frontiers in Immunology (2 papers)Stem Cells (2 papers)Journal of Prosthodontic Research (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Li‐Tzu Wang
30 papers receiving 933 citations
Li‐Tzu Wang's Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 412
- Immunology 130
- Urology 32
- Cancer Research 69
- Rehabilitation 28
Countries citing papers authored by Li‐Tzu Wang
This map shows the geographic impact of Li‐Tzu 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 Li‐Tzu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Tzu Wang more than expected).
Fields of papers citing papers by Li‐Tzu Wang
This network shows the impact of papers produced by Li‐Tzu 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 Li‐Tzu Wang. The network helps show where Li‐Tzu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Tzu 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human mesenchymal stem cells (MSCs) for treatment towards immune- and inflammation-mediated diseases: review of current clinical trials Hit paper breakdown → | 2016 | 268 |
| 2 | 2021 | 94 | |
| 3 | 2013 | 94 | |
| 4 | 2023 | 62 | |
| 5 | 2020 | 56 | |
| 6 | 2018 | 51 | |
| 7 | 2009 | 43 | |
| 8 | 2012 | 34 | |
| 9 | 2022 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2025 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 10 |
About Li‐Tzu Wang
Li‐Tzu Wang is a scholar working on Genetics, Immunology, Surgery, Molecular Biology and Oncology, having authored 32 papers that have together received 944 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Immune cells in cancer (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Pluripotent Stem Cells Research (3 papers), Endometriosis Research and Treatment (2 papers), Dental Implant Techniques and Outcomes (2 papers), Cancer Cells and Metastasis (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Genetics (412 citations), Immunology (130 citations), Urology (32 citations), Cancer Research (69 citations) and Rehabilitation (28 citations). Li‐Tzu Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include B. Linju Yen, Ming‐Shyen Yen, Huey‐Kang Sytwu, Ko‐Jiunn Liu, Kenneth K. Wu, Pei‐Ju Hsu, Kevin Sheng‐Kai, Oscar K. Lee, Pele Chong and Hsin–Wei Chen. Their work appears in journals such as Stem Cells Translational Medicine, Journal of Biomedical Science, Frontiers in Immunology, Stem Cells and Journal of Prosthodontic Research.
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.