Li Yan

9.3k total citations
194 papers, 6.2k citations indexed

About

Li Yan is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Li Yan has authored 194 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Oncology, 81 papers in Molecular Biology and 72 papers in Cancer Research. Recurrent topics in Li Yan's work include Cancer Immunotherapy and Biomarkers (45 papers), Ferroptosis and cancer prognosis (34 papers) and Cancer Genomics and Diagnostics (29 papers). Li Yan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (45 papers), Ferroptosis and cancer prognosis (34 papers) and Cancer Genomics and Diagnostics (29 papers). Li Yan collaborates with scholars based in United States, Japan and China. Li Yan's co-authors include Kazuaki Takabe, Masanori Oshi, Yoshihisa Tokumaru, Itaru Endo, Ryusei Matsuyama, Qianya Qi, Eriko Katsuta, Xuan Peng, Mariko Asaoka and Song Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Li Yan

189 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Yan United States 45 3.3k 2.4k 2.2k 1.4k 1.3k 194 6.2k
Ding Ma China 37 2.8k 0.9× 1.7k 0.7× 1.9k 0.9× 1.0k 0.7× 771 0.6× 202 5.7k
Antonio Jimeno United States 39 3.5k 1.1× 3.5k 1.4× 1.3k 0.6× 1.4k 1.0× 1.0k 0.8× 169 7.2k
Lixia Diao United States 46 4.4k 1.4× 2.8k 1.2× 2.3k 1.0× 1.2k 0.8× 1.4k 1.0× 137 7.6k
Alana L. Welm United States 41 4.0k 1.2× 2.4k 1.0× 1.8k 0.8× 745 0.5× 799 0.6× 97 6.5k
Jingqin Luo United States 42 2.6k 0.8× 3.2k 1.3× 2.1k 0.9× 1.4k 1.0× 2.2k 1.7× 194 8.0k
David Horst Germany 39 3.0k 0.9× 2.5k 1.0× 1.8k 0.8× 816 0.6× 694 0.5× 170 6.1k
Lalita A. Shevde United States 41 4.5k 1.4× 2.5k 1.0× 1.6k 0.7× 1.0k 0.7× 1.3k 0.9× 105 6.9k
Vladimir Lazar France 46 4.1k 1.2× 2.1k 0.9× 2.1k 0.9× 954 0.7× 974 0.7× 133 7.4k
R. Stephanie Huang United States 39 4.5k 1.4× 1.7k 0.7× 2.8k 1.3× 2.3k 1.6× 733 0.6× 184 7.5k

Countries citing papers authored by Li Yan

Since Specialization
Citations

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

Fields of papers citing papers by Li Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Yan. A scholar is included among the top collaborators of Li Yan 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 Li Yan. Li Yan 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.
Li, Min, Guohao Xie, Lihua Chu, & Li Yan. (2025). Efficacy of low-dose hypobaric anesthetics in spinal anesthesia for cesarean delivery: systematic review and meta-analysis. The Journal of Maternal-Fetal & Neonatal Medicine. 38(1). 2519655–2519655. 1 indexed citations
2.
Wang, Ruijie, et al.. (2024). Fe-capsaicin nanozyme attenuates sepsis-induced acute lung injury by regulating the functions of macrophages. Frontiers in Bioengineering and Biotechnology. 12. 1509136–1509136. 2 indexed citations
3.
Guo, Jianying, et al.. (2024). Spatiotemporal Variability of Soil Erosion in the Pisha Sandstone Region: Influences of Precipitation and Vegetation. Sustainability. 16(21). 9313–9313. 2 indexed citations
4.
Yan, Li, et al.. (2023). Comparison of stereotactic aspiration surgery and conventional treatment for primary brainstem haemorrhage. Clinical Neurology and Neurosurgery. 234. 108008–108008. 3 indexed citations
5.
Xu, Jiatong, et al.. (2023). Multidimensional Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis. Biomolecules. 13(9). 1329–1329. 7 indexed citations
7.
Zhang, Yuyuan, Zaoqu Liu, Jie Li, et al.. (2023). Prognosis and Personalized Treatment Prediction in Different Mutation-Signature Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 10. 241–255. 1 indexed citations
8.
Shi, Benkang, et al.. (2022). Identification of IL20RB as a Novel Prognostic and Therapeutic Biomarker in Clear Cell Renal Cell Carcinoma. Disease Markers. 2022. 1–22. 13 indexed citations
9.
Yan, Li, Sarbajit Mukherjee, Steven N. Hochwald, et al.. (2021). Clinical and Lifestyle-Related Prognostic Indicators among Esophageal Adenocarcinoma Patients Receiving Treatment at a Comprehensive Cancer Center. Cancers. 13(18). 4653–4653. 8 indexed citations
10.
Oshi, Masanori, Shipra Gandhi, Fernando A. Angarita, et al.. (2021). A novel five-gene score to predict complete pathological response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer.. PubMed Central. 11(7). 3611–3627. 10 indexed citations
11.
Tokumaru, Yoshihisa, Masanori Oshi, Ankit Patel, et al.. (2021). Organoids Are Limited in Modeling the Colon Adenoma–Carcinoma Sequence. Cells. 10(3). 488–488. 13 indexed citations
12.
Liu, Xinchan, et al.. (2020). The role of TLR4/MyD88/NF‐κB pathway in periodontitis‐induced liver inflammation of rats. Oral Diseases. 27(4). 1012–1021. 19 indexed citations
13.
Oshi, Masanori, Yoshihisa Tokumaru, Fernando A. Angarita, et al.. (2020). Degree of Early Estrogen Response Predict Survival after Endocrine Therapy in Primary and Metastatic ER-Positive Breast Cancer. Cancers. 12(12). 3557–3557. 41 indexed citations
14.
Tsuchida, Junko, Masayuki Nagahashi, Masato Nakajima, et al.. (2020). Sphingosine Kinase 1 is Associated With Immune Cell–Related Gene Expressions in Human Breast Cancer. Journal of Surgical Research. 256. 645–656. 9 indexed citations
15.
Yao, Song, Ting‐Yuan David Cheng, Ahmed Elkhanany, et al.. (2020). Breast Tumor Microenvironment in Black Women: A Distinct Signature of CD8+ T-Cell Exhaustion. JNCI Journal of the National Cancer Institute. 113(8). 1036–1043. 59 indexed citations
16.
Scortegagna, Marzia, Kathryn Hockemeyer, Igor Dolgalev, et al.. (2020). Siah2 control of T-regulatory cells limits anti-tumor immunity. Nature Communications. 11(1). 99–99. 17 indexed citations
17.
Yamada, Akimitsu, Masayuki Nagahashi, Tomoyoshi Aoyagi, et al.. (2018). ABCC1-Exported Sphingosine-1-phosphate, Produced by Sphingosine Kinase 1, Shortens Survival of Mice and Patients with Breast Cancer. Molecular Cancer Research. 16(6). 1059–1070. 61 indexed citations
18.
Hoki, Toshifumi, Eriko Katsuta, Li Yan, Kazuaki Takabe, & Fumito Ito. (2018). Low DMT1 Expression Associates With Increased Oxidative Phosphorylation and Early Recurrence in Hepatocellular Carcinoma. Journal of Surgical Research. 234. 343–352. 24 indexed citations
19.
Zhang, Qin, Yuchen Liu, Li Yan, et al.. (2017). Double CD19/CD22 Chimeric Antigen Receptor-Modified T Cells for the Treatment of Stage IV Relapsed and Refractory Follicular Lymphoma. Blood. 130. 5154–5154. 5 indexed citations
20.
Zhao, Hua, Jie Shen, Qiang Hu, et al.. (2014). Effects of Preanalytic Variables on Circulating MicroRNAs in Whole Blood. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2643–2648. 25 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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