Sheng Yan
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 11
- Hepatology top 2%
- Liver Disease and Transplantation 18
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Transplantation top 2%
- Pharmaceutical Science top 2%
- Dermatology top 2%
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- Organ Transplantation Techniques and Outcomes 30
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- Pancreatic and Hepatic Oncology Research 18
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- Retinoids in leukemia and cellular processes 12
- Advanced biosensing and bioanalysis techniques 9
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- Acute Myeloid Leukemia Research 11
Sheng Yan
237 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Biomaterials 937
- Hepatology 517
- Transplantation 173
- Pharmaceutical Science 195
- Dermatology 216
Countries citing papers authored by Sheng Yan
This map shows the geographic impact of Sheng 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 Sheng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Yan more than expected).
Fields of papers citing papers by Sheng Yan
This network shows the impact of papers produced by Sheng 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 Sheng Yan. The network helps show where Sheng Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng 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 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 78 | |
| 11 | 2023 | 23 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 13 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 1 | |
| 16 | 2010 | 9 | |
| 17 | 2010 | 7 | |
| 18 | Synthesis and Properties of Fluorine-Containing Polyurethane-Acrylate Core-Shell Emulsion | 2010 | 1 |
| 19 | Synthesis of high performance polyether grafted polycarboxylate based superplasticizer | 2010 | 1 |
| 20 | Research on performance of modified polypropylene fiber reinforced mortar and concrete | 2004 | 1 |
About Sheng Yan
Sheng Yan is a scholar working on Hepatology, Surgery and Transplantation, having authored 256 papers that have together received 5.4k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (30 papers), Pancreatic and Hepatic Oncology Research (18 papers), Liver Disease and Transplantation (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Retinoids in leukemia and cellular processes (12 papers), Acute Myeloid Leukemia Research (11 papers), Nanoparticle-Based Drug Delivery (11 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Biomaterials (937 citations), Hepatology (517 citations) and Transplantation (173 citations). Sheng Yan has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Lingqian Chang, Changsheng Liu, Yuan Yuan, Tairong Kuang, Shusen Zheng, Xinyi Tao, Xiaoqian Shan, Jiaming Hu, Weilin Wang and Dajiong Fu. Their work appears in journals such as World Journal of Surgical Oncology, Aesthetic Plastic Surgery, Liver Transplantation, Journal of Materials Science Materials in Medicine and PLoS ONE.
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.