Yingcong Wang
Impact in
- Geriatrics and Gerontology top 10%
Papers in
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- PI3K/AKT/mTOR signaling in cancer 5
- Ubiquitin and proteasome pathways 4
- Phytochemical compounds biological activities 3
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- Advanced Memory and Neural Computing 11
- Co-authors
- Fengpeng Zhang (1 shared paper)Junwei Sun (14 shared papers)Yanfeng Wang (12 shared papers)Dong Guo (3 shared papers)Jumei Shi (18 shared papers)Kai Cai (1 shared paper)Yang Bai (1 shared paper)Xiaosong Wu (12 shared papers)
In The Last Decade
Yingcong Wang
50 papers receiving 837 citations
Peers
Comparison fields: 5 of 129
- Geriatrics and Gerontology 27
- Cancer Research 74
- Hematology 53
- Cell Biology 79
- Oncology 96
Countries citing papers authored by Yingcong Wang
This map shows the geographic impact of Yingcong Wang'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 Yingcong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingcong Wang more than expected).
Fields of papers citing papers by Yingcong Wang
This network shows the impact of papers produced by Yingcong Wang. 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 Yingcong Wang. The network helps show where Yingcong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingcong Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2018 | 80 | |
| 3 | 2018 | 67 | |
| 4 | 2019 | 66 | |
| 5 | 2013 | 54 | |
| 6 | 2021 | 47 | |
| 7 | 2017 | 44 | |
| 8 | 2024 | 42 | |
| 9 | 2022 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2018 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2025 | 14 | |
| 19 | Over expression of hyaluronan promotes progression of HCC via CD44-mediated pyruvate kinase M2 nuclear translocation. | 2016 | 14 |
| 20 | Dynamin2 downregulation delays EGFR endocytic trafficking and promotes EGFR signaling and invasion in hepatocellular carcinoma. | 2015 | 13 |
About Yingcong Wang
Yingcong Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Hematology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 55 papers that have together received 844 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Multiple Myeloma Research and Treatments (8 papers), Neuroscience and Neural Engineering (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), Phytochemical compounds biological activities (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Cancer Research (74 citations), Hematology (53 citations), Cell Biology (79 citations) and Oncology (96 citations). Yingcong Wang has collaborated with scholars based in China, Ethiopia and Australia. Frequent co-authors include Fengpeng Zhang, Junwei Sun, Yanfeng Wang, Dong Guo, Jumei Shi, Kai Cai, Yang Bai, Xiaosong Wu, Zhenggang Ren and Zhaoning Gong. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Cancer Letters, IEEE Transactions on Industrial Informatics, Blood and Ecological Indicators.
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.