Liya Pi
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Plant Pathogenic Bacteria Studies
- Legume Nitrogen Fixing Symbiosis
- Plant Disease Resistance and Genetics
Papers in
-
- Connective Tissue Growth Factor Research 17
- Ubiquitin and proteasome pathways 6
- Wnt/β-catenin signaling in development and cancer 4
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- Plant Pathogenic Bacteria Studies 7
- Plant-Microbe Interactions and Immunity 6
- Co-authors
- Bryon E. Petersen (15 shared papers)Wen‐Yuan Song (8 shared papers)Heather Hatch (2 shared papers)Edward W. Scott (11 shared papers)Seh‐Hoon Oh (6 shared papers)Pamela C. Ronald (6 shared papers)Yongsheng Wang (3 shared papers)Guozhen Liu (4 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (5 papers)The Plant Cell (4 papers)American Journal Of Pathology (4 papers)Hepatology (3 papers)The FASEB Journal (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Liya Pi
52 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 95
- Hepatology 348
- Plant Science 825
- Molecular Biology 883
- Surgery 403
- Genetics 88
Countries citing papers authored by Liya Pi
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
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-authors
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.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 268 | |
| 2 | 2005 | 261 | |
| 3 | 2006 | 251 | |
| 4 | 2003 | 208 | |
| 5 | 2006 | 100 | |
| 6 | 2004 | 87 | |
| 7 | 2012 | 84 | |
| 8 | 2014 | 69 | |
| 9 | 2002 | 65 | |
| 10 | 2007 | 62 | |
| 11 | 2005 | 61 | |
| 12 | 1998 | 55 | |
| 13 | 2012 | 50 | |
| 14 | 2017 | 36 | |
| 15 | 2019 | 35 | |
| 16 | 1997 | 34 | |
| 17 | 2014 | 33 | |
| 18 | 2013 | 32 | |
| 19 | 2013 | 32 | |
| 20 | 2017 | 31 |
About Liya Pi
Liya Pi is a scholar working on Molecular Biology, Plant Science, Hepatology, Epidemiology and Cell Biology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (17 papers), Liver physiology and pathology (8 papers), Plant Pathogenic Bacteria Studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Ubiquitin and proteasome pathways (6 papers), Plant-Microbe Interactions and Immunity (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Hepatology (348 citations), Plant Science (825 citations), Molecular Biology (883 citations), Surgery (403 citations) and Genetics (88 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, The Plant Cell, American Journal Of Pathology, Hepatology and The FASEB Journal.
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.