Hsiaoyin Mao
- Immunology top 1%
- Immune Cell Function and Interaction 24
- T-cell and B-cell Immunology 15
- IL-33, ST2, and ILC Pathways 4
- Immunotherapy and Immune Responses 3
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Hematology top 2%
- Oncology top 5%
- CAR-T cell therapy research 7
- Hepatology top 5%
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- Epigenetics and DNA Methylation 3
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- Virus-based gene therapy research 2
- Co-authors
- Michael A. CaligiuriJianhua YuAharon G. FreudBrian BecknellRossana TrottaWei MinTiffany HughesAmy K. Ferketich
- Cited by
- ImmunologyCancer ResearchHematology
- Journals
- Journal of Clinical Investigation (3 papers)Nature Medicine (1 paper)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Hsiaoyin Mao
32 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 1.9k
- Cancer Research 625
- Hematology 384
- Oncology 716
- Hepatology 129
Countries citing papers authored by Hsiaoyin Mao
This map shows the geographic impact of Hsiaoyin Mao'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 Hsiaoyin Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiaoyin Mao more than expected).
Fields of papers citing papers by Hsiaoyin Mao
This network shows the impact of papers produced by Hsiaoyin Mao. 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 Hsiaoyin Mao. The network helps show where Hsiaoyin Mao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsiaoyin Mao, 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 | 2019 | 27 | |
| 2 | 2017 | 28 | |
| 3 | 2016 | 142 | |
| 4 | 2015 | 129 | |
| 5 | 2014 | 43 | |
| 6 | 2014 | 38 | |
| 7 | 2013 | 68 | |
| 8 | Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown → | 2012 | 623 |
| 9 | 2012 | 167 | |
| 10 | 2011 | 58 | |
| 11 | 2010 | 51 | |
| 12 | 2009 | 184 | |
| 13 | 2009 | 25 | |
| 14 | 2009 | 15 | |
| 15 | 2008 | 207 | |
| 16 | 2007 | 43 | |
| 17 | 2006 | 223 | |
| 18 | 2006 | 322 | |
| 19 | 2005 | 370 | |
| 20 | 2005 | 284 |
About Hsiaoyin Mao
Hsiaoyin Mao is a scholar working on Immunology, Cancer Research and Oncology, having authored 32 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (15 papers), CAR-T cell therapy research (7 papers), IL-33, ST2, and ILC Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Immunotherapy and Immune Responses (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (1.9k citations), Cancer Research (625 citations) and Hematology (384 citations). Hsiaoyin Mao has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Michael A. Caligiuri, Jianhua Yu, Aharon G. Freud, Brian Becknell, Rossana Trotta, Wei Min, Tiffany Hughes, Amy K. Ferketich, Akihiko Yokohama and Guido Marcucci. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.
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.