Li‐Chin Yao

1.4k total citations
23 papers, 881 citations indexed

About

Li‐Chin Yao is a scholar working on Oncology, Immunology and Biotechnology. According to data from OpenAlex, Li‐Chin Yao has authored 23 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 8 papers in Immunology and 7 papers in Biotechnology. Recurrent topics in Li‐Chin Yao's work include Cancer Research and Treatments (7 papers), CAR-T cell therapy research (5 papers) and Cancer Cells and Metastasis (5 papers). Li‐Chin Yao is often cited by papers focused on Cancer Research and Treatments (7 papers), CAR-T cell therapy research (5 papers) and Cancer Cells and Metastasis (5 papers). Li‐Chin Yao collaborates with scholars based in United States, Sweden and United Kingdom. Li‐Chin Yao's co-authors include Donald M. McDonald, Peter Bałuk, Jennifer Feng, James Keck, Michael A. Brehm, Dana T. Aftab, Hiroya Hashizume, Barbara Sennino, Casey W. Williamson and Beverly L. Falcón and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Li‐Chin Yao

21 papers receiving 861 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‐Chin Yao United States 11 497 287 230 168 119 23 881
Mihalis S. Kariolis United States 8 326 0.7× 241 0.8× 398 1.7× 96 0.6× 100 0.8× 10 692
Christine Gjerdrum Norway 3 488 1.0× 514 1.8× 385 1.7× 100 0.6× 80 0.7× 6 1.1k
Hallvard Haugen Norway 6 517 1.0× 515 1.8× 414 1.8× 103 0.6× 91 0.8× 10 1.1k
Falguni Parikh India 13 747 1.5× 474 1.7× 425 1.8× 86 0.5× 155 1.3× 50 1.3k
Robert McKinstry United States 13 435 0.9× 475 1.7× 98 0.4× 87 0.5× 85 0.7× 21 971
Kris Persaud United States 15 800 1.6× 771 2.7× 127 0.6× 182 1.1× 88 0.7× 20 1.3k
Ai Sato Japan 16 592 1.2× 630 2.2× 275 1.2× 162 1.0× 145 1.2× 45 1.4k
Xinming Su United States 15 613 1.2× 424 1.5× 615 2.7× 62 0.4× 97 0.8× 38 1.2k
Hong Zheng China 13 569 1.1× 632 2.2× 505 2.2× 104 0.6× 118 1.0× 67 1.4k

Countries citing papers authored by Li‐Chin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Chin Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chin Yao. A scholar is included among the top collaborators of Li‐Chin Yao 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‐Chin Yao. Li‐Chin Yao 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.
Keck, James, et al.. (2023). 1232 PBMC humanized mouse model with clinical relevance in assessing the safety profile of 4–1BB agonist, urelumab, in 5 donors. SHILAP Revista de lepidopterología. A1359–A1359. 1 indexed citations
2.
Yang, Hongyuan, et al.. (2023). A novel tumor-bearing humanized mouse model for evaluating the efficacy and predictive safety of bispecific T cell engager. The Journal of Immunology. 210(Supplement_1). 230.18–230.18.
3.
Yang, Jiwon, Jing Jiao, Kyle Draheim, et al.. (2023). Simultaneous evaluation of treatment efficacy and toxicity for bispecific T‐cell engager therapeutics in a humanized mouse model. The FASEB Journal. 37(6). e22995–e22995. 10 indexed citations
4.
Yao, Li‐Chin, Danying Cai, Mingshan Cheng, et al.. (2023). Abstract 6354: A new tumor-bearing humanized mouse model to evaluate the efficacy of bispecific T cell engager and monoclonal checkpoint antibodies. Cancer Research. 83(7_Supplement). 6354–6354.
5.
Yao, Li‐Chin, et al.. (2022). Abstract 1640: Enhanced development of functional human innate immune cells in a novel FLT3nullNSG mouse strain expressing human FLT3L. Cancer Research. 82(12_Supplement). 1640–1640. 1 indexed citations
6.
Aryee, Ken‐Edwin, Lisa Burzenski, Li‐Chin Yao, et al.. (2022). Enhanced development of functional human NK cells in NOD‐ scid‐IL2rg null mice expressing human IL15. The FASEB Journal. 36(9). e22476–e22476. 30 indexed citations
7.
Yao, Li‐Chin, Mingshan Cheng, Leonard D. Shultz, & James Keck. (2020). Abstract 5619: PBMC humanized NSG-(KbDb)null (IA)null mouse model to evaluate immune-oncology drug efficacy. Cancer Research. 80(16_Supplement). 5619–5619. 1 indexed citations
8.
Yao, Li‐Chin, Mingshan Cheng, Leonard D. Shultz, et al.. (2020). Abstract B72: Humanized NSG-Tg(Hu-IL15) mice support preclinical immune-oncology efficacy for testing of NK cell-based immunotherapy. Cancer Immunology Research. 8(3_Supplement). B72–B72. 1 indexed citations
9.
Yao, Li‐Chin, et al.. (2019). Creation of PDX-Bearing Humanized Mice to Study Immuno-oncology. Methods in molecular biology. 1953. 241–252. 47 indexed citations
10.
Yao, Li‐Chin, Mingshan Cheng, Ken‐Edwin Aryee, et al.. (2018). Abstract 5676: Patient-derived tumor xenografts in humanized NSG-SGM3 mice: An improved immuno-oncology platform. Cancer Research. 78(13_Supplement). 5676–5676. 1 indexed citations
11.
Bałuk, Peter, et al.. (2017). Rapamycin reversal of VEGF-C–driven lymphatic anomalies in the respiratory tract. JCI Insight. 2(16). 39 indexed citations
12.
Yao, Li‐Chin, Mingshan Cheng, Danying Cai, et al.. (2017). Humanized mice in studying efficacy and mechanisms of PD‐1‐targeted cancer immunotherapy. The FASEB Journal. 32(3). 1537–1549. 234 indexed citations
13.
Yao, Li‐Chin, Jonathan W. Riess, Mingshan Cheng, et al.. (2016). Patient-derived tumor xenografts in humanized NSG-SGM3 mice: A new immuno-oncology platform.. Journal of Clinical Oncology. 34(15_suppl). 3074–3074. 4 indexed citations
14.
Yao, Li‐Chin, Mingshan Cheng, Jacques Banchereau, et al.. (2015). Abstract LB-C01: Patient-derived tumor xenografts in humanized NSG-SGM3 mice: A new immuno-oncology platform. Molecular Cancer Therapeutics. 14(12_Supplement_2). LB–C01. 2 indexed citations
15.
Bałuk, Peter, et al.. (2014). Neutrophil Dependence of Vascular Remodeling after Mycoplasma Infection of Mouse Airways. American Journal Of Pathology. 184(6). 1877–1889. 8 indexed citations
16.
Yao, Li‐Chin & Donald M. McDonald. (2013). Plasticity of Airway Lymphatics in Development and Disease. Advances in anatomy, embryology and cell biology. 214. 41–54. 12 indexed citations
17.
You, Weon‐Kyoo, Barbara Sennino, Casey W. Williamson, et al.. (2011). VEGF and c-Met Blockade Amplify Angiogenesis Inhibition in Pancreatic Islet Cancer. Cancer Research. 71(14). 4758–4768. 196 indexed citations
18.
Yao, Li‐Chin, Peter Bałuk, Jennifer Feng, & Donald M. McDonald. (2010). Steroid-Resistant Lymphatic Remodeling in Chronically Inflamed Mouse Airways. American Journal Of Pathology. 176(3). 1525–1541. 59 indexed citations
19.
Lashnits, Erin, et al.. (2010). Rapid remodeling of airway vascular architecture at birth. Developmental Dynamics. 239(9). 2354–2366. 11 indexed citations
20.
Bałuk, Peter, Li‐Chin Yao, Jennifer Feng, et al.. (2009). TNF-α drives remodeling of blood vessels and lymphatics in sustained airway inflammation in mice. Journal of Clinical Investigation. 119(10). 2954–64. 168 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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