Liya Pi

2.7k citations
55 papers · 2.1k indexed · h-index 24
  • Hepatology top 2%
    • Liver physiology and pathology 12
    • Plant Pathogenic Bacteria Studies 7
    • Plant-Microbe Interactions and Immunity 6
    • Connective Tissue Growth Factor Research 19
    • Ubiquitin and proteasome pathways 6
    • Fibroblast Growth Factor Research 4
  • Surgery top 10%
  • Genetics top 10%
    • Liver Disease Diagnosis and Treatment 8
    • Hippo pathway signaling and YAP/TAZ 5

Liya Pi

52 papers receiving 2.1k citations

Peers

Liya Pi
Comparison fields: 5 of 97
  • Hepatology 373
  • Plant Science 787
  • Molecular Biology 910
  • Surgery 447
  • Genetics 98
Replace Yuichiro Miyaoka with:
Yuichiro Miyaoka Japan
Ling Qiao China
Ken Nishimura Japan
Yinxiong Li China
Kirk J. Wangensteen United States
Francis J. Eng United States
Henk P. Roest Netherlands
Jiexing Cai United States
Yiping Hu China
Gerald R. Hankins United States
Liya Pi relative to Yuichiro Miyaoka Japan Yuichiro Miyaoka's profile →
Citations per field
00.5×9.5×
Yuichiro Miyaoka · 1×
Citations per year

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

The 25 scholars most cited alongside Liya Pi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liya Pi Line = papers co-authored together Liya Pi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202510
3 20240
4 20231
5 20235
6 20237
7 202221
8 20220
9 201735
10 20155
11 201432
12 201331
13 201282
14 201126
15 200815
16 2005245
17 200486
18 2003195
19 200263
20 199848

About Liya Pi

Liya Pi is a scholar working on Hepatology, Molecular Biology and Cell Biology, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (19 papers), Liver physiology and pathology (12 papers), Liver Disease Diagnosis and Treatment (8 papers), Plant Pathogenic Bacteria Studies (7 papers), Plant-Microbe Interactions and Immunity (6 papers), Ubiquitin and proteasome pathways (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Hepatology (373 citations), Plant Science (787 citations) and Molecular Biology (910 citations). Liya Pi has collaborated with scholars based in United States, China and Canada. Frequent 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. Their work appears in journals such as Investigative Ophthalmology & Visual Science, American Journal Of Pathology, The Plant Cell, The FASEB Journal and Hepatology.

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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