Yingjie Guan
- Cancer Research top 5%
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 7
- Molecular Biology top 10%
- Renal and related cancers 5
- Protein Tyrosine Phosphatases 3
- Geriatrics and Gerontology top 5%
- Immunology top 10%
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- Osteoarthritis Treatment and Mechanisms 4
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- Chronic Kidney Disease and Diabetes 3
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- Zeolite Catalysis and Synthesis 3
- Co-authors
- Y. Eugene ChinZhenglong YuanDevasis ChatterjeeXu YangQian ChenWei LeiJinsong GaoXiaoli Tang
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yingjie Guan
44 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cancer Research 354
- Oncology 543
- Molecular Biology 1.1k
- Geriatrics and Gerontology 60
- Immunology 312
Countries citing papers authored by Yingjie Guan
This map shows the geographic impact of Yingjie Guan'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 Yingjie Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjie Guan more than expected).
Fields of papers citing papers by Yingjie Guan
This network shows the impact of papers produced by Yingjie Guan. 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 Yingjie Guan. The network helps show where Yingjie Guan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingjie Guan, 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 4 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 41 | |
| 11 | 2015 | 40 | |
| 12 | 2014 | 30 | |
| 13 | 2013 | 6 | |
| 14 | 2012 | 8 | |
| 15 | 2007 | 166 | |
| 16 | Caspase-mediated proteolytic processing of Stat3: Preliminary cellular and functional analysis | 2006 | 1 |
| 17 | 2006 | 39 | |
| 18 | Stat3 Dimerization Regulated by Reversible Acetylation of a Single Lysine Residuebreakdown → | 2005 | 630 |
| 19 | 2004 | 47 | |
| 20 | 2004 | 116 |
About Yingjie Guan
Yingjie Guan is a scholar working on Medical Laboratory Technology, Nephrology and Cancer Research, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Renal and related cancers (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Zeolite Catalysis and Synthesis (3 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Cancer Research (354 citations), Oncology (543 citations) and Molecular Biology (1.1k citations). Yingjie Guan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Y. Eugene Chin, Zhenglong Yuan, Devasis Chatterjee, Xu Yang, Qian Chen, Wei Lei, Jinsong Gao, Xiaoli Tang, Bharat Ramratnam and Wenyi Wei. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.