Shih‐Ping Su
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Biochemical effects in animals
- Calcium signaling and nucleotide metabolism
Papers in
-
- Connexins and lens biology 7
- Heat shock proteins research 3
- Plant Toxicity and Pharmacological Properties 2
- Ubiquitin and proteasome pathways 1
-
- Biochemical effects in animals 4
- Co-authors
- J. Andrew Aquilina (5 shared papers)Jason D. McArthur (4 shared papers)Roger J.W. Truscott (3 shared papers)Roger J. Daly (3 shared papers)Rachel S. Lee (2 shared papers)Michael G. Friedrich (2 shared papers)Karel Novy (1 shared paper)Lan K. Nguyen (1 shared paper)
- Journals
- Experimental Eye Research (3 papers)Cell Death and Differentiation (1 paper)Molecular & Cellular Proteomics (1 paper)Cell Communication and Signaling (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Shih‐Ping Su
11 papers receiving 409 citations
Peers
Comparison fields: 5 of 52
- Geriatrics and Gerontology 104
- Physiology 37
- Clinical Biochemistry 40
- Cancer Research 57
- Molecular Biology 264
Countries citing papers authored by Shih‐Ping Su
This map shows the geographic impact of Shih‐Ping Su'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 Shih‐Ping Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Ping Su more than expected).
Fields of papers citing papers by Shih‐Ping Su
This network shows the impact of papers produced by Shih‐Ping Su. 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 Shih‐Ping Su. The network helps show where Shih‐Ping Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐Ping Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 180 | |
| 2 | 2020 | 60 | |
| 3 | 2010 | 34 | |
| 4 | 2016 | 31 | |
| 5 | 2011 | 30 | |
| 6 | 2012 | 24 | |
| 7 | Understanding the α-crystallin cell membrane conjunction. | 2011 | 20 |
| 8 | 2018 | 14 | |
| 9 | 1984 | 13 | |
| 10 | 2015 | 5 | |
| 11 | 1980 | 4 |
About Shih‐Ping Su
Shih‐Ping Su is a scholar working on Molecular Biology, Physiology, Urology, Clinical Biochemistry and Cancer Research, having authored 11 papers that have together received 415 indexed citations. Recurring topics across this work include Connexins and lens biology (7 papers), Biochemical effects in animals (4 papers), Heat shock proteins research (3 papers), Plant Toxicity and Pharmacological Properties (2 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Pancreatic function and diabetes (1 paper) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (104 citations), Physiology (37 citations), Clinical Biochemistry (40 citations), Cancer Research (57 citations) and Molecular Biology (264 citations). Shih‐Ping Su has collaborated with scholars based in Australia, United States and China. Frequent co-authors include J. Andrew Aquilina, Jason D. McArthur, Roger J.W. Truscott, Roger J. Daly, Rachel S. Lee, Michael G. Friedrich, Karel Novy, Lan K. Nguyen, Kaylene J. Simpson and Howard Chan. Their work appears in journals such as Experimental Eye Research, Cell Death and Differentiation, Molecular & Cellular Proteomics, Cell Communication and Signaling and Proteins Structure Function and Bioinformatics.
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.