Yihang Yuan

1.6k total citations · 1 hit paper
47 papers, 1.1k citations indexed

About

Yihang Yuan is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Yihang Yuan has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Biomedical Engineering. Recurrent topics in Yihang Yuan's work include Nanoplatforms for cancer theranostics (9 papers), Cancer-related molecular mechanisms research (6 papers) and Ferroptosis and cancer prognosis (5 papers). Yihang Yuan is often cited by papers focused on Nanoplatforms for cancer theranostics (9 papers), Cancer-related molecular mechanisms research (6 papers) and Ferroptosis and cancer prognosis (5 papers). Yihang Yuan collaborates with scholars based in China, United States and Australia. Yihang Yuan's co-authors include Chenzhou Wu, Wen Chen, Chao Fang, Peng Sun, Qin Lu, Xing Lai, Jonathan F. Lovell, Hongzhuan Chen, Mao‐Hua Zhu and Chunjie Li and has published in prestigious journals such as Advanced Materials, Nature Communications and Advanced Functional Materials.

In The Last Decade

Yihang Yuan

46 papers receiving 1.1k citations

Hit Papers

Epidemiologic relationship between periodontitis and type... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yihang Yuan China 19 405 298 254 160 157 47 1.1k
Xi Yang China 23 824 2.0× 130 0.4× 333 1.3× 362 2.3× 164 1.0× 62 1.8k
Qianqian Wang China 14 359 0.9× 220 0.7× 53 0.2× 128 0.8× 91 0.6× 29 896
Mei Zhang China 25 966 2.4× 265 0.9× 52 0.2× 256 1.6× 196 1.2× 54 1.8k
Liang Hao China 16 283 0.7× 129 0.4× 111 0.4× 71 0.4× 112 0.7× 62 790
Shaohui Huang China 17 250 0.6× 177 0.6× 56 0.2× 161 1.0× 48 0.3× 38 930
Sang‐Hun Shin South Korea 23 482 1.2× 177 0.6× 42 0.2× 244 1.5× 53 0.3× 77 1.4k
Shegan Gao China 26 1.3k 3.2× 177 0.6× 302 1.2× 422 2.6× 163 1.0× 117 2.3k
Hua Zhao China 20 656 1.6× 76 0.3× 41 0.2× 165 1.0× 128 0.8× 48 1.2k
Aleksandra Kawczyk‐Krupka Poland 23 207 0.5× 839 2.8× 138 0.5× 89 0.6× 63 0.4× 114 1.6k
Youguang Lu China 19 598 1.5× 99 0.3× 55 0.2× 220 1.4× 59 0.4× 63 1.1k

Countries citing papers authored by Yihang Yuan

Since Specialization
Citations

This map shows the geographic impact of Yihang Yuan'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 Yihang Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihang Yuan more than expected).

Fields of papers citing papers by Yihang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yihang Yuan. 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 Yihang Yuan. The network helps show where Yihang Yuan may publish in the future.

Co-authorship network of co-authors of Yihang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yihang Yuan. A scholar is included among the top collaborators of Yihang Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yihang Yuan. Yihang Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yingying, Jingjing Zhang, Fan Tu, et al.. (2025). Association between metabolic dysfunction associated steatotic liver disease and gallstones in the US population using propensity score matching. Scientific Reports. 15(1). 910–910. 2 indexed citations
2.
Zhou, Chi, Qian Qiu, Xinyu Liu, et al.. (2025). Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response. Hereditas. 162(1). 79–79. 2 indexed citations
3.
Chen, Chaobo, Jinsong Liu, Yihang Yuan, et al.. (2024). Early identification of hepatocellular carcinoma patients at high-risk of recurrence using the ADV score: a multicenter retrospective study. World Journal of Surgical Oncology. 22(1). 240–240. 1 indexed citations
4.
Ye, Lingling, Fen Wang, Hao Wu, Yihang Yuan, & Quan’an Zhang. (2024). Evidence of the association between asthma and lung cancer risk from mendelian randomization analysis. Scientific Reports. 14(1). 23047–23047. 1 indexed citations
5.
Liang, Leilei, Jian Li, Jia Zeng, et al.. (2024). CircNUP50 is a novel therapeutic target that promotes cisplatin resistance in ovarian cancer by modulating p53 ubiquitination. Journal of Nanobiotechnology. 22(1). 35–35. 23 indexed citations
6.
Lin, Quanjun, Zhiqiang Wang, Jue Wang, et al.. (2024). Innovative strategies to optimise colorectal cancer immunotherapy through molecular mechanism insights. Frontiers in Immunology. 15. 1509658–1509658. 1 indexed citations
7.
Zhu, Mao‐Hua, Mei Long, Xing Lai, et al.. (2023). Metal‐Coordinated Adsorption of Nanoparticles to Macrophages for Targeted Cancer Therapy (Adv. Funct. Mater. 19/2023). Advanced Functional Materials. 33(19). 5 indexed citations
9.
Lei, Jing, et al.. (2023). MIR31HG, a potential lncRNA in human cancers and non-cancers. Frontiers in Genetics. 14. 1145454–1145454. 4 indexed citations
10.
Lin, Quanjun, Zhiqiang Wang, Jue Wang, Ming Xu, & Yihang Yuan. (2023). Construction and validation of a metabolic-associated lncRNA risk index for predicting colorectal cancer prognosis. Frontiers in Oncology. 13. 1163283–1163283. 1 indexed citations
11.
Xiang, Mengqi, et al.. (2022). Low serum albumin levels and high neutrophil counts are predictive of a poorer prognosis in patients with metastatic breast cancer. Oncology Letters. 24(6). 432–432. 15 indexed citations
12.
Yuan, Yihang, Zhenzhen Yang, Jiawei Zhang, et al.. (2022). PUMILIO proteins promote colorectal cancer growth via suppressing p21. Nature Communications. 13(1). 1627–1627. 31 indexed citations
13.
Li, Yang, Jialei Hu, Meng Wang, et al.. (2022). Exosomal circPABPC1 promotes colorectal cancer liver metastases by regulating HMGA2 in the nucleus and BMP4/ADAM19 in the cytoplasm. Cell Death Discovery. 8(1). 335–335. 23 indexed citations
14.
Dong, Xiao, Si‐Cong Yang, Xing Lai, et al.. (2021). Targeted Cancer Chemophototherapy: Biomimetic Liposomal Nanoplatinum for Targeted Cancer Chemophototherapy (Adv. Sci. 8/2021). Advanced Science. 8(8). 2 indexed citations
16.
Zhan, Qi, Yuan Li, Yuan Li, et al.. (2020). The accuracy of Raman spectroscopy in the detection and diagnosis of oral cancer: A systematic review and meta‐analysis. Journal of Raman Spectroscopy. 51(12). 2377–2397. 11 indexed citations
17.
Wu, Chenzhou, Bowen Zhang, Wen Chen, et al.. (2020). Nerve growth factor protects salivary glands from irradiation-induced damage. Life Sciences. 265. 118748–118748. 11 indexed citations
18.
Yuan, Yihang, et al.. (2020). A novel nomogram based on SEER database for the prediction of liver metastasis in patients with small-cell lung cancer. Annals of Palliative Medicine. 9(5). 3123–3137. 10 indexed citations
19.
Li, Bo, Dong Yang, Ge Yang, et al.. (2019). In Vitro and Clinical Studies of Gene Therapy with Recombinant Human Adenovirus- p53 Injection for Malignant Melanoma. PubMed. 30(1). 7–18. 7 indexed citations
20.
Yuan, Yihang, Jian Zhou, Yan Zhang, et al.. (2019). Identification of key genes and pathways downstream of the β‑catenin‑TCF7L1 complex in pancreatic cancer cells using bioinformatics analysis. Oncology Letters. 18(2). 1117–1132. 10 indexed citations

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.

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