Yuqiong Liang
- Immunology top 0.5%
- Immune Cell Function and Interaction 13
- interferon and immune responses 9
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 4
- Psoriasis: Treatment and Pathogenesis 3
- Hepatology top 1%
- Hepatitis C virus research 7
- Oncology top 5%
- Immunology and Allergy top 5%
- Epidemiology top 5%
- Hepatitis B Virus Studies 5
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- Viral Infections and Immunology Research 3
- Co-authors
- Alexander Y. RudenskyChyi‐Song HsiehAshutosh ChaudhryPiper M. TreutingRobert SamsteinStanley M. LemonYe ZhengFeng Shao
- Cited by
- ImmunologyHepatologyOncology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yuqiong Liang
35 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 3.7k
- Hepatology 701
- Oncology 899
- Immunology and Allergy 170
- Epidemiology 970
Countries citing papers authored by Yuqiong Liang
This map shows the geographic impact of Yuqiong Liang'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 Yuqiong Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuqiong Liang more than expected).
Fields of papers citing papers by Yuqiong Liang
This network shows the impact of papers produced by Yuqiong Liang. 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 Yuqiong Liang. The network helps show where Yuqiong Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuqiong Liang, 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 | 2023 | 13 | |
| 2 | 2023 | 40 | |
| 3 | 2022 | 61 | |
| 4 | 2020 | 74 | |
| 5 | 2018 | 85 | |
| 6 | 2016 | 20 | |
| 7 | Toll-like receptors activate programmed necrosis in macrophages through a receptor-interacting kinase-3–mediated pathwaybreakdown → | 2011 | 588 |
| 8 | Interleukin-10 Signaling in Regulatory T Cells Is Required for Suppression of Th17 Cell-Mediated Inflammationbreakdown → | 2011 | 740 |
| 9 | 2010 | 81 | |
| 10 | CD4 + Regulatory T Cells Control T H 17 Responses in a Stat3-Dependent Mannerbreakdown → | 2009 | 807 |
| 11 | 2009 | 192 | |
| 12 | 2009 | 130 | |
| 13 | 2008 | 39 | |
| 14 | 2008 | 64 | |
| 15 | 2007 | 256 | |
| 16 | 2007 | 115 | |
| 17 | 2005 | 117 | |
| 18 | Recognition of the Peripheral Self by Naturally Arising CD25+ CD4+ T Cell Receptorsbreakdown → | 2004 | 567 |
| 19 | 2004 | 303 | |
| 20 | 1999 | 386 |
About Yuqiong Liang
Yuqiong Liang is a scholar working on Immunology, Hepatology and Urology, having authored 36 papers that have together received 6.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), interferon and immune responses (9 papers), T-cell and B-cell Immunology (9 papers), Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Immunotherapy and Immune Responses (4 papers), Viral Infections and Immunology Research (3 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). The work is most often cited by research in Immunology (3.7k citations), Hepatology (701 citations) and Oncology (899 citations). Yuqiong Liang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Alexander Y. Rudensky, Chyi‐Song Hsieh, Ashutosh Chaudhry, Piper M. Treuting, Robert Samstein, Stanley M. Lemon, Ye Zheng, Feng Shao, Sudan He and Xiaodong Wang. Their work appears in journals such as Nature, Science and Cell.
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.