Tao Yan
- Developmental Neuroscience top 5%
- Anesthesiology and Pain Medicine top 10%
- Anesthesia and Sedative Agents 5
- Periodontics top 5%
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- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 4
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- Anesthesia and Pain Management 10
- Nausea and vomiting management 7
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- Hepatocellular Carcinoma Treatment and Prognosis 6
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- Cancer, Stress, Anesthesia, and Immune Response 5
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- Inflammatory Biomarkers in Disease Prognosis 5
- Co-authors
- Shu-Qun LiuZihe RaoHui ZhengTerry D. OberleyLarry W. OberleyHannah J. ZhangGuohua ZhangYun‐Xin Fu
- Journals
- BMC Cancer (4 papers)Cancer Management and Research (3 papers)BMC Anesthesiology (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tao Yan
92 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Developmental Neuroscience 81
- Anesthesiology and Pain Medicine 60
- Periodontics 46
- Cancer Research 144
- Molecular Biology 624
Countries citing papers authored by Tao Yan
This map shows the geographic impact of Tao Yan'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 Tao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Yan more than expected).
Fields of papers citing papers by Tao Yan
This network shows the impact of papers produced by Tao Yan. 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 Tao Yan. The network helps show where Tao Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Yan, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 17 | |
| 15 | Clinical Analysis of Risk Factors for Cervical Lymph Node Metastasis in Papillary Thyroid Microcarcinoma: A Retrospective Study of 3686 Patients | 2020 | 2 |
| 16 | 2020 | 2 | |
| 17 | 2019 | 7 | |
| 18 | Effects of fenugreek powder on growth performance, meat quality, immune organ indexes, serum antioxidant and biochemical parameters of broilers. | 2017 | 0 |
| 19 | 2014 | 1 | |
| 20 | 2012 | 2 |
About Tao Yan
Tao Yan is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience and Hepatology, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (10 papers), Nausea and vomiting management (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Anesthesia and Sedative Agents (5 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Developmental Neuroscience (81 citations), Anesthesiology and Pain Medicine (60 citations) and Periodontics (46 citations). Tao Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shu-Qun Liu, Zihe Rao, Hui Zheng, Terry D. Oberley, Larry W. Oberley, Hannah J. Zhang, Guohua Zhang, Guohua Zhang, Yun‐Xin Fu and Peng Sang. Their work appears in journals such as BMC Cancer, Cancer Management and Research, BMC Anesthesiology, Frontiers in Immunology and Biomedicine & Pharmacotherapy.
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.