Yi‐Ju Li

8.3k total citations
187 papers, 4.8k citations indexed

About

Yi‐Ju Li is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yi‐Ju Li has authored 187 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 37 papers in Molecular Biology and 21 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yi‐Ju Li's work include Genetic Associations and Epidemiology (20 papers), Corneal surgery and disorders (15 papers) and Drug-Induced Hepatotoxicity and Protection (15 papers). Yi‐Ju Li is often cited by papers focused on Genetic Associations and Epidemiology (20 papers), Corneal surgery and disorders (15 papers) and Drug-Induced Hepatotoxicity and Protection (15 papers). Yi‐Ju Li collaborates with scholars based in United States, Taiwan and China. Yi‐Ju Li's co-authors include Eden R. Martin, Jeffery M. Vance, William K. Scott, Margaret A. Pericak‐Vance, Stephan Züchner, Gregory M. Mayhew, Virginia B. Kraus, Terri L. Young, Joelle M. van der Walt and Jonathan L. Haines and has published in prestigious journals such as Nucleic Acids Research, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Yi‐Ju Li

173 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Ju Li United States 37 1.6k 775 690 613 551 187 4.8k
Makoto Daimon Japan 38 1.1k 0.7× 360 0.5× 396 0.6× 860 1.4× 310 0.6× 215 4.4k
Silvia Ravera Italy 38 2.3k 1.4× 298 0.4× 613 0.9× 311 0.5× 225 0.4× 222 4.7k
Noriko Tanaka Japan 36 958 0.6× 206 0.3× 466 0.7× 700 1.1× 262 0.5× 207 5.6k
Yun Wang China 45 3.5k 2.1× 284 0.4× 577 0.8× 1.5k 2.4× 569 1.0× 309 8.2k
Tatsuya Kondo Japan 43 3.6k 2.2× 547 0.7× 611 0.9× 1.3k 2.1× 264 0.5× 183 8.3k
Pascal Reynier France 55 6.3k 3.8× 574 0.7× 231 0.3× 665 1.1× 457 0.8× 301 10.5k
Elena Grossini Italy 29 2.2k 1.3× 168 0.2× 720 1.0× 1.3k 2.1× 1.2k 2.1× 120 5.9k
Akiko Matsumoto Japan 32 1.2k 0.7× 244 0.3× 364 0.5× 420 0.7× 442 0.8× 165 3.9k
Takeo Kato Japan 46 2.1k 1.3× 502 0.6× 590 0.9× 1.2k 1.9× 390 0.7× 277 8.6k
Eun Jig Lee South Korea 50 2.9k 1.8× 1.3k 1.7× 189 0.3× 1.1k 1.8× 245 0.4× 355 8.8k

Countries citing papers authored by Yi‐Ju Li

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ju Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Ju Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Ju Li. A scholar is included among the top collaborators of Yi‐Ju 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 Yi‐Ju Li. Yi‐Ju Li 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.
Wang, Z., Yi‐Ju Li, Weiqi Fu, & Jianping Wu. (2025). Unraveling the mechanisms of action of food-derived bioactive peptides: Insights from Omics approaches. 1(2). 100019–100019. 1 indexed citations
2.
Li, Yi‐Ju, et al.. (2025). A multi-omics landscape of programmed cell death in acetaminophen-induced acute kidney injury. Renal Failure. 47(1). 2580064–2580064.
3.
Dong, Wenpei, Shao‐Dong Shen, Wenchen Zhao, et al.. (2025). Fluorescent Metal-Organic Frameworks-Assisted Multiplexed MicroRNA Biosensor for Precise Identification of Colorectal Cancer. Journal of Analysis and Testing. 10(1). 342–351.
4.
Li, Yi‐Ju, Jawad Ahmad, Huiman X. Barnhart, et al.. (2024). Clinical characteristics and HLA associations of azithromycin‐induced liver injury. Alimentary Pharmacology & Therapeutics. 60(6). 787–795. 7 indexed citations
5.
Kraus, Virginia B., et al.. (2024). An osteoarthritis pathophysiological continuum revealed by molecular biomarkers. Science Advances. 10(17). eadj6814–eadj6814. 10 indexed citations
6.
Gorman, Bryan R., Christopher Halladay, Kyriacos Markianos, et al.. (2024). A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation. Communications Biology. 7(1). 418–418. 5 indexed citations
7.
Li, Yi‐Ju, et al.. (2023). Evaluation of in vitro bioactivity and angiogenesis-promoting effect for mesoporous bioactive glass codoped with copper and silver. Journal of Non-Crystalline Solids. 613. 122371–122371. 9 indexed citations
8.
Li, Yi‐Ju, Erik J. Soderblom, Vaibhav Jain, et al.. (2023). A “best-in-class” systemic biomarker predictor of clinically relevant knee osteoarthritis structural and pain progression. Science Advances. 9(4). eabq5095–eabq5095. 24 indexed citations
9.
Kraus, Virginia B., Erik J. Soderblom, M. Arthur Moseley, et al.. (2023). Serum proteomic panel validated for prediction of knee osteoarthritis progression. SHILAP Revista de lepidopterología. 6(1). 100425–100425. 9 indexed citations
10.
Kraus, Virginia B., et al.. (2023). Serum proteomic biomarkers diagnostic of knee osteoarthritis. Osteoarthritis and Cartilage. 32(3). 329–337. 7 indexed citations
11.
Chalasani, Naga, Yi‐Ju Li, Andrew Dellinger, et al.. (2022). Clinical features, outcomes, and HLA risk factors associated with nitrofurantoin-induced liver injury. Journal of Hepatology. 78(2). 293–300. 25 indexed citations
12.
Klinger, Rebecca Y., Olga James, Salvador Borges‐Neto, et al.. (2018). 18F-florbetapir Positron Emission Tomography–determined Cerebral β-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery. Anesthesiology. 128(4). 728–744. 26 indexed citations
13.
Gill, Rosalynn, Michael R. Mehan, Susanne B. Haga, et al.. (2018). Effects of Delivering SLCO1B1 Pharmacogenetic Information in Randomized Trial and Observational Settings. Circulation Genomic and Precision Medicine. 11(9). e002228–e002228. 33 indexed citations
14.
Kertai, Miklós D., Yi‐Ju Li, John H. Alexander, et al.. (2015). Genome-wide association study of perioperative myocardial infarction after coronary artery bypass surgery. BMJ Open. 5(5). e006920–e006920. 9 indexed citations
15.
Zhu, Li, Xiaoming Wang, Xinlei Li, et al.. (2013). Epigenetic dysregulation of SHANK3 in brain tissues from individuals with autism spectrum disorders. Human Molecular Genetics. 23(6). 1563–1578. 109 indexed citations
16.
Gale, Daniel P., Benjamin Rhodes, John Feehally, et al.. (2010). Variation in IGHMBP2 is not associated with IgA nephropathy in independent studies of UK Caucasian and Chinese Han patients (vol 25, pg 1547, 2010). UCL Discovery (University College London).
17.
Hughes, Elizabeth M., et al.. (2010). Surveillance for Certain Health Behaviors Among States and Selected Local Areas- United States, 2008, 59(SS10):1-221. MMWR Morbidity and Mortality Weekly Report. 1 indexed citations
18.
Zayats, Tetyana, et al.. (2009). Myocilin polymorphisms and high myopia in subjects of European origin.. PubMed. 15. 213–22. 15 indexed citations
19.
Metlapally, Ravikanth, Yi‐Ju Li, Khanh-Nhat Tran-Viet, et al.. (2008). Common MFRP sequence variants are not associated with moderate to high hyperopia, isolated microphthalmia, and high myopia.. PubMed. 14. 387–93. 11 indexed citations
20.
Markert, M. Louise, Jie Li, Blythe H. Devlin, et al.. (2008). Use of Allograft Biopsies to Assess Thymopoiesis after Thymus Transplantation. The Journal of Immunology. 180(9). 6354–6364. 20 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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