Xiaoyun Yang
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 9
- Molecular Medicine top 5%
- Endocrinology top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 6
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress 6
- RNA modifications and cancer 5
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- interferon and immune responses 7
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
- Co-authors
- Chaoqun HuangLin LiuYurong LiangGreg SlabaughMelanie GanzGuixi ZhengYongzhong LuYanqing Li
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoyun Yang
82 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 583
- Molecular Medicine 161
- Endocrinology 66
- Infectious Diseases 239
- Molecular Biology 803
Countries citing papers authored by Xiaoyun Yang
This map shows the geographic impact of Xiaoyun Yang'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 Xiaoyun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyun Yang more than expected).
Fields of papers citing papers by Xiaoyun Yang
This network shows the impact of papers produced by Xiaoyun Yang. 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 Xiaoyun Yang. The network helps show where Xiaoyun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyun Yang, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 19 | |
| 8 | 2021 | 75 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 52 | |
| 11 | 2019 | 46 | |
| 12 | 2018 | 28 | |
| 13 | Degradation dynamics of azadirachtin in cabbage and soil. | 2017 | 2 |
| 14 | 2016 | 1 | |
| 15 | 2014 | 28 | |
| 16 | 2008 | 2 | |
| 17 | 2007 | 50 | |
| 18 | [The role of NF-E2-related factor 2 in the induction of uridine 5'-diphosphate-glucuronosyltransferase 1A and its isoforms by epigallocatechin gallate in colon cancer cells]. | 2006 | 7 |
| 19 | Primary Studies on the Effects of Nitrogen Fertilizer on the Occurrence of Petiole Spot in Chinese Cabbage | 2006 | 1 |
| 20 | Cytomorphological research on anther development of pol cms in non-heading Chinese cabbage (Brassica campestris L. ssp. Chinesis makino) | 1997 | 3 |
About Xiaoyun Yang
Xiaoyun Yang is a scholar working on Cancer Research, Gastroenterology and Infectious Diseases, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers), interferon and immune responses (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), COVID-19 Clinical Research Studies (6 papers), RNA modifications and cancer (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). The work is most often cited by research in Cancer Research (583 citations), Molecular Medicine (161 citations) and Endocrinology (66 citations). Xiaoyun Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chaoqun Huang, Lin Liu, Yurong Liang, Greg Slabaugh, Melanie Ganz, Guixi Zheng, Yongzhong Lu, Yanqing Li, Roshini Sathiaseelan and Yanqing Li.
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.