Liya Pi

2.7k total citations
55 papers, 2.1k citations indexed

About

Liya Pi is a scholar working on Molecular Biology, Hepatology and Plant Science. According to data from OpenAlex, Liya Pi has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Hepatology and 9 papers in Plant Science. Recurrent topics in Liya Pi's work include Connective Tissue Growth Factor Research (19 papers), Liver physiology and pathology (12 papers) and Liver Disease Diagnosis and Treatment (8 papers). Liya Pi is often cited by papers focused on Connective Tissue Growth Factor Research (19 papers), Liver physiology and pathology (12 papers) and Liver Disease Diagnosis and Treatment (8 papers). Liya Pi collaborates with scholars based in United States, China and Canada. Liya Pi's co-authors include Bryon E. Petersen, Wen‐Yuan Song, Heather Hatch, Edward W. Scott, Seh‐Hoon Oh, Pamela C. Ronald, Yongsheng Wang, Guozhen Liu, J.A. Gardner and Takahisa Fujikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Liya Pi

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liya Pi United States 24 910 787 447 373 183 55 2.1k
Yuichiro Miyaoka Japan 14 1.0k 1.1× 83 0.1× 415 0.9× 326 0.9× 276 1.5× 22 1.8k
Ling Qiao China 17 446 0.5× 222 0.3× 154 0.3× 127 0.3× 162 0.9× 60 1.3k
Gerald R. Hankins United States 21 846 0.9× 130 0.2× 302 0.7× 84 0.2× 307 1.7× 41 1.7k
Henk P. Roest Netherlands 23 1.3k 1.5× 160 0.2× 428 1.0× 175 0.5× 418 2.3× 56 2.1k
Ken Nishimura Japan 24 1.5k 1.7× 93 0.1× 310 0.7× 97 0.3× 310 1.7× 65 2.2k
Yinxiong Li China 21 1.2k 1.3× 59 0.1× 433 1.0× 414 1.1× 211 1.2× 59 1.8k
Kirk J. Wangensteen United States 25 1.2k 1.3× 77 0.1× 472 1.1× 412 1.1× 419 2.3× 58 2.1k
Francis J. Eng United States 22 1.1k 1.2× 90 0.1× 219 0.5× 800 2.1× 182 1.0× 29 2.4k
Yiping Hu China 23 1.5k 1.7× 47 0.1× 758 1.7× 647 1.7× 204 1.1× 54 2.3k
Arkadiusz Nawrocki Denmark 20 593 0.7× 60 0.1× 352 0.8× 128 0.3× 184 1.0× 41 1.6k

Countries citing papers authored by Liya Pi

Since Specialization
Citations

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

Fields of papers citing papers by Liya Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liya Pi

This figure shows the co-authorship network connecting the top 25 collaborators of Liya Pi. A scholar is included among the top collaborators of Liya Pi 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 Liya Pi. Liya Pi 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.
He, Yonghan, Chunbao Sun, Peiyi Zhang, et al.. (2025). A BCL-xL/BCL-2 PROTAC effectively clears senescent cells in the liver and reduces MASH-driven hepatocellular carcinoma in mice. Nature Aging. 5(3). 386–400. 10 indexed citations
2.
Huang, Xiaoen, Guiyun Zhang, Jian‐Liang Li, et al.. (2025). Rhomboid-mediated cleavage of the immune receptor XA21 protects grain set and male fertility in rice. Proceedings of the National Academy of Sciences. 122(22). e2502025122–e2502025122. 1 indexed citations
3.
Mu, Yu, et al.. (2024). The YAP1-MAML2 fusion drives tumorigenesis and sustains tumor growth. PubMed. 32(4). 200900–200900.
4.
Yang, Yang, Wanyi Hu, Peiyi Zhang, et al.. (2023). Abstract B009: A liver-tropic BCL-xL PROTAC effectively clears senescent hepatocytes and prevents NASH-driven HCC in mice. Cancer Research. 83(2_Supplement_1). B009–B009. 1 indexed citations
5.
Pi, Liya, et al.. (2023). Significance of CCNs in liver regeneration. Journal of Cell Communication and Signaling. 17(2). 321–332. 7 indexed citations
6.
Sun, Chunbao, et al.. (2023). Acetaldehyde Dehydrogenases in Liver Zonation and Liver Cancer. Gene Expression. 0(0). 0–0. 5 indexed citations
7.
Cao, Qi, Xin Lü, Babak Behnam Azad, et al.. (2020). cis-4-[18F]fluoro-L-proline Molecular Imaging Experimental Liver Fibrosis. Frontiers in Molecular Biosciences. 7. 90–90. 9 indexed citations
8.
Zhou, Junmei, et al.. (2017). Hepatic progenitor cell activation in liver repair. Liver Research. 1(2). 81–87. 35 indexed citations
9.
Gjymishka, Altin, Liya Pi, Seh‐Hoon Oh, et al.. (2016). miR-133b Regulation of Connective Tissue Growth Factor. American Journal Of Pathology. 186(5). 1092–1102. 15 indexed citations
10.
11.
Gibson, Daniel J., Paulette M. Robinson, Liya Pi, et al.. (2014). Assessment of anti-scarring therapies in ex vivo organ cultured rabbit corneas. Experimental Eye Research. 125. 173–182. 32 indexed citations
12.
Robinson, Paulette M., Tsai‐Der Chuang, Liya Pi, et al.. (2013). MicroRNA Signature in Wound Healing Following Excimer Laser Ablation: Role of miR-133b on TGFβ1, CTGF, SMA, and COL1A1 Expression Levels in Rabbit Corneal Fibroblasts. Investigative Ophthalmology & Visual Science. 54(10). 6944–6944. 31 indexed citations
13.
Shenoy, Anitha, Robert C. Fisher, Elizabeth A. Butterworth, et al.. (2012). Transition from Colitis to Cancer: High Wnt Activity Sustains the Tumor-Initiating Potential of Colon Cancer Stem Cell Precursors. Cancer Research. 72(19). 5091–5100. 82 indexed citations
14.
Oh, Seh‐Hoon, Rafal P. Witek, Si–Hyun Bae, et al.. (2008). Detection of Transketolase in Bone Marrow–Derived Insulin-Producing Cells: Benfotiamine Enhances Insulin Synthesis and Glucose Metabolism. Stem Cells and Development. 18(1). 37–46. 15 indexed citations
15.
Pi, Liya, Xiaodong Ding, Marda Jorgensen, et al.. (2007). Connective tissue growth factor with a novel fibronectin binding site promotes cell adhesion and migration during rat oval cell activation. Hepatology. 47(3). 996–1004. 59 indexed citations
16.
Fujikawa, Takahisa, et al.. (2005). Teratoma Formation Leads to Failure of Treatment for Type I Diabetes Using Embryonic Stem Cell-Derived Insulin-Producing Cells. American Journal Of Pathology. 166(6). 1781–1791. 245 indexed citations
17.
Pi, Liya, Seh‐Hoon Oh, Thomas Shupe, & Bryon E. Petersen. (2005). Role of Connective Tissue Growth Factor in Oval Cell Response During Liver Regeneration After 2-AAF/PHx in Rats. Gastroenterology. 128(7). 2077–2088. 60 indexed citations
18.
Xu, Weihui, et al.. (2004). The ubiquitin ligase XBAT32 regulates lateral root development in Arabidopsis. The Plant Journal. 40(6). 996–1006. 86 indexed citations
19.
Petersen, Bryon E., B.L. Grossbard, Heather Hatch, et al.. (2003). Mouse A6-Positive Hepatic Oval Cells Also Express Several Hematopoietic Stem Cell Markers. Hepatology. 37(3). 632–640. 195 indexed citations
20.
Liu, Guozhen, Liya Pi, John C. Walker, Pamela C. Ronald, & Wen‐Yuan Song. (2002). Biochemical Characterization of the Kinase Domain of the Rice Disease Resistance Receptor-like Kinase XA21. Journal of Biological Chemistry. 277(23). 20264–20269. 63 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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