Daniel Y. Li

1.2k total citations
12 papers, 319 citations indexed

About

Daniel Y. Li is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Y. Li has authored 12 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Y. Li's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (2 papers) and Circular RNAs in diseases (2 papers). Daniel Y. Li is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (2 papers) and Circular RNAs in diseases (2 papers). Daniel Y. Li collaborates with scholars based in United States, China and Sweden. Daniel Y. Li's co-authors include W.H. Wilson Tang, Muredach P. Reilly, Zunfu Ke, Wei Wang, Jianwen Zhou, Yujie Yuan, Qiong He, Hui Zhang, Yonghui Huang and Xuan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Scientific Reports.

In The Last Decade

Daniel Y. Li

12 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Y. Li United States 8 127 124 116 90 36 12 319
Paulina Węgrzyn Poland 10 209 1.6× 121 1.0× 80 0.7× 49 0.5× 47 1.3× 13 362
Nichole Peterson Canada 9 152 1.2× 191 1.5× 49 0.4× 106 1.2× 25 0.7× 18 410
Vinay Raj United States 10 134 1.1× 52 0.4× 96 0.8× 50 0.6× 24 0.7× 17 294
Yaluan Ma China 9 99 0.8× 112 0.9× 47 0.4× 53 0.6× 43 1.2× 17 302
XK Wang China 4 296 2.3× 92 0.7× 107 0.9× 47 0.5× 56 1.6× 8 381
Xinting Pan China 11 214 1.7× 54 0.4× 121 1.0× 52 0.6× 38 1.1× 28 329
Laura Fozzatti Argentina 16 188 1.5× 100 0.8× 52 0.4× 113 1.3× 41 1.1× 26 486
Yanhong Bu China 13 249 2.0× 80 0.6× 57 0.5× 57 0.6× 38 1.1× 26 377
Xufeng Huang Hungary 12 160 1.3× 55 0.4× 94 0.8× 109 1.2× 29 0.8× 26 364
Jinru Wei China 9 123 1.0× 76 0.6× 45 0.4× 42 0.5× 31 0.9× 15 287

Countries citing papers authored by Daniel Y. Li

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Y. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Y. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Y. Li. A scholar is included among the top collaborators of Daniel Y. Li 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 Daniel Y. Li. Daniel Y. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Li, Daniel Y., et al.. (2025). Decoding human cardiovascular development and disease through single-cell transcriptomic and epigenomic profiling. Trends in Cell Biology. 35(8). 690–701. 1 indexed citations
2.
Cynn, Esther, Daniel Y. Li, M. O'Reilly, et al.. (2022). Human Macrophage Long Intergenic Noncoding RNA, SIMALR , Suppresses Inflammatory Macrophage Apoptosis via NTN1 (Netrin-1). Arteriosclerosis Thrombosis and Vascular Biology. 43(2). 286–299. 8 indexed citations
3.
Youssef, Michael, et al.. (2022). Pure White Cell Aplasia and Immune Thrombocytopenia after Thymoma Resection: A Case Report and Review of the Literature. SHILAP Revista de lepidopterología. 2022. 1–7. 2 indexed citations
4.
Zhou, Xiaorong, Chenchen Li, Daniel Y. Li, et al.. (2021). Kinetics of plasma cfDNA predicts clinical response in non-small cell lung cancer patients. Scientific Reports. 11(1). 7633–7633. 12 indexed citations
5.
Lin, Run, Hui Zhang, Yujie Yuan, et al.. (2020). Fatty Acid Oxidation Controls CD8+ Tissue-Resident Memory T-cell Survival in Gastric Adenocarcinoma. Cancer Immunology Research. 8(4). 479–492. 169 indexed citations
6.
Zhou, Xiaorong, Chenchen Li, Zhao Zhang, et al.. (2020). Kinetics of Plasma cfDNA Predicts Clinical Response in Non-Small Cell Lung Cancer Patients. SSRN Electronic Journal. 1 indexed citations
7.
Wen, Miaoyun, Yongli Han, Linqiang Huang, et al.. (2018). Hypertonic saline regulates microglial M2 polarization via miR-200b/KLF4 in cerebral edema treatment. Biochemical and Biophysical Research Communications. 499(2). 345–353. 25 indexed citations
8.
Li, Daniel Y., Albert Busch, Hong Jin, et al.. (2018). Abstract 314: H19 Induces Abdominal Aortic Aneurysm Development and Progression. Arteriosclerosis Thrombosis and Vascular Biology. 38(Suppl_1). 1 indexed citations
9.
Li, Daniel Y. & W.H. Wilson Tang. (2018). Contributory Role of Gut Microbiota and Their Metabolites Toward Cardiovascular Complications in Chronic Kidney Disease. Seminars in Nephrology. 38(2). 193–205. 41 indexed citations
10.
Spin, Joshua M., Daniel Y. Li, Lars Mäegdefessel, & Philip S. Tsao. (2018). Non-coding RNAs in aneurysmal aortopathy. Vascular Pharmacology. 114. 110–121. 8 indexed citations
11.
Zhang, Xuan, Daniel Y. Li, & Muredach P. Reilly. (2018). Long intergenic noncoding RNAs in cardiovascular diseases: Challenges and strategies for physiological studies and translation. Atherosclerosis. 281. 180–188. 28 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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