Yunhao Tan
- Endocrinology top 0.5%
- Legionella and Acanthamoeba research 10
- Vibrio bacteria research studies 2
- Immunology top 1%
- Immune Response and Inflammation 10
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
- interferon and immune responses 4
- Parasitology top 2%
- Molecular Biology top 5%
- Inflammasome and immune disorders 4
- Heme Oxygenase-1 and Carbon Monoxide 2
- Nephrology top 5%
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- Autophagy in Disease and Therapy 2
- Co-authors
- Jonathan C. KaganZhao‐Qing LuoHao WuJianbin RuanIvan ZanoniCharles L. EvavoldShiyu XiaAchille Broggi
- Cited by
- EndocrinologyImmunologyParasitology
- Partner nations
- United StatesItalyChina
In The Last Decade
Yunhao Tan
20 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrinology 905
- Immunology 1.6k
- Parasitology 245
- Molecular Biology 2.1k
- Nephrology 175
Countries citing papers authored by Yunhao Tan
This map shows the geographic impact of Yunhao Tan'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 Yunhao Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunhao Tan more than expected).
Fields of papers citing papers by Yunhao Tan
This network shows the impact of papers produced by Yunhao Tan. 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 Yunhao Tan. The network helps show where Yunhao Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunhao Tan, 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 | 2024 | 41 | |
| 2 | 2022 | 23 | |
| 3 | 2019 | 92 | |
| 4 | The Pore-Forming Protein Gasdermin D Regulates Interleukin-1 Secretion from Living Macrophagesbreakdown → | 2017 | 826 |
| 5 | 2017 | 162 | |
| 6 | 2017 | 165 | |
| 7 | 2017 | 43 | |
| 8 | 2017 | 7 | |
| 9 | An endogenous caspase-11 ligand elicits interleukin-1 release from living dendritic cellsbreakdown → | 2016 | 442 |
| 10 | 2016 | 22 | |
| 11 | Ubiquitination independent of E1 and E2 enzymes by bacterial effectorsbreakdown → | 2016 | 259 |
| 12 | 2015 | 136 | |
| 13 | 2015 | 81 | |
| 14 | 2014 | 152 | |
| 15 | 2011 | 185 | |
| 16 | 2011 | 3 | |
| 17 | 2011 | 248 | |
| 18 | 2011 | 173 | |
| 19 | 2011 | 159 | |
| 20 | 2010 | 157 |
About Yunhao Tan
Yunhao Tan is a scholar working on Endocrinology, Immunology and Microbiology, having authored 20 papers that have together received 3.4k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (10 papers), Immune Response and Inflammation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), interferon and immune responses (4 papers), Inflammasome and immune disorders (4 papers), Autophagy in Disease and Therapy (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology (905 citations), Immunology (1.6k citations) and Parasitology (245 citations). Yunhao Tan has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Jonathan C. Kagan, Zhao‐Qing Luo, Hao Wu, Jianbin Ruan, Ivan Zanoni, Charles L. Evavold, Shiyu Xia, Achille Broggi, Simran Banga and Marco Di Gioia. 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.