Xiang Yan
Impact in
- Surfaces, Coatings and Films top 0.5%
- Surface Modification and Superhydrophobicity
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 10
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- Diabetes Management and Research 18
Xiang Yan
132 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Surfaces, Coatings and Films 745
- Cancer Research 483
- Endocrinology, Diabetes and Metabolism 397
- Oncology 481
- Genetics 463
Countries citing papers authored by Xiang Yan
This map shows the geographic impact of Xiang 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 Xiang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Yan more than expected).
Fields of papers citing papers by Xiang Yan
This network shows the impact of papers produced by Xiang 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 Xiang Yan. The network helps show where Xiang Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiang 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 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 6 | |
| 12 | Long Non-Coding RNA TUG1 Promotes Cell Proliferation and Inhibits Cell Apoptosis, Autophagy in Clear Cell Renal Cell Carcinoma via MiR-31-5p/FLOT1 Axis | 2020 | 3 |
| 13 | 2020 | 66 | |
| 14 | 2018 | 62 | |
| 15 | Effect of bock greenbrier rhizome capsule combined with Fuke Qianjin Tablet on serum inflammatory factors, immune function and hemorheological index in patients with chronic pelvic inflammation | 2017 | 1 |
| 16 | 2015 | 2 | |
| 17 | 2014 | 12 | |
| 18 | 2013 | 13 | |
| 19 | 2009 | 100 | |
| 20 | 2008 | 1 |
About Xiang Yan
Xiang Yan is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Endocrine and Autonomic Systems, having authored 142 papers that have together received 3.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Pancreatic function and diabetes (20 papers), Diabetes Management and Research (18 papers), Lung Cancer Treatments and Mutations (17 papers), Cancer Immunotherapy and Biomarkers (15 papers), MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (10 papers) and Lung Cancer Research Studies (10 papers). The work is most often cited by research in Surfaces, Coatings and Films (745 citations), Cancer Research (483 citations), Endocrinology, Diabetes and Metabolism (397 citations), Oncology (481 citations) and Genetics (463 citations). Xiang Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yang Bai, Lei Jiang, Kai Zhang, Xi Yao, Lu Xu, Junhu Zhang, Xuefeng Gao, Zhiguang Zhou, Xia Li and Gan Huang. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Frontiers in Immunology, Annals of Translational Medicine, Frontiers in Oncology and Cancer Medicine.
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.