Li‐Ling Wu
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Physiology top 2%
- Salivary Gland Disorders and Functions
Papers in
- Physiology 63
- Salivary Gland Disorders and Functions 50
-
- Cardiac Fibrosis and Remodeling 13
- Cardiac electrophysiology and arrhythmias 10
- Renin-Angiotensin System Studies 9
- Co-authors
- Xin Cong (51 shared papers)Guang‐Yan Yu (48 shared papers)Maw-Shung Liu (11 shared papers)Ken Shortman (4 shared papers)Roland G. Scollay (4 shared papers)Dan Wu (6 shared papers)Ruo‐Lan Xiang (24 shared papers)Linda Chia‐Hui Yu (7 shared papers)
- Journals
- Journal of Dental Research (9 papers)Shock (6 papers)Biochemical and Biophysical Research Communications (6 papers)PLoS ONE (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Li‐Ling Wu
214 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 135
- Immunology 592
- Physiology 673
- Epidemiology 756
- Cardiology and Cardiovascular Medicine 492
- Neurology 143
Countries citing papers authored by Li‐Ling Wu
This map shows the geographic impact of Li‐Ling Wu'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‐Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Ling Wu more than expected).
Fields of papers citing papers by Li‐Ling Wu
This network shows the impact of papers produced by Li‐Ling Wu. 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‐Ling Wu. The network helps show where Li‐Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Ling Wu, 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 225 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 215 | |
| 2 | 1988 | 192 | |
| 3 | 2015 | 171 | |
| 4 | 2011 | 156 | |
| 5 | 2019 | 143 | |
| 6 | 1994 | 87 | |
| 7 | 2015 | 85 | |
| 8 | 2013 | 84 | |
| 9 | 2015 | 74 | |
| 10 | 2023 | 72 | |
| 11 | 2014 | 70 | |
| 12 | 2013 | 68 | |
| 13 | 2015 | 65 | |
| 14 | 2015 | 61 | |
| 15 | 2021 | 60 | |
| 16 | 2001 | 58 | |
| 17 | 2016 | 57 | |
| 18 | 2018 | 55 | |
| 19 | 2010 | 51 | |
| 20 | 2014 | 51 |
About Li‐Ling Wu
Li‐Ling Wu is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology and Sensory Systems, having authored 225 papers that have together received 4.9k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (50 papers), Cardiac Fibrosis and Remodeling (13 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Sepsis Diagnosis and Treatment (10 papers), Cardiac electrophysiology and arrhythmias (10 papers), Renin-Angiotensin System Studies (9 papers), Hepatitis B Virus Studies (8 papers) and Ion Channels and Receptors (8 papers). The work is most often cited by research in Immunology (592 citations), Physiology (673 citations), Epidemiology (756 citations), Cardiology and Cardiovascular Medicine (492 citations) and Neurology (143 citations). Li‐Ling Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xin Cong, Guang‐Yan Yu, Maw-Shung Liu, Ken Shortman, Roland G. Scollay, Dan Wu, Ruo‐Lan Xiang, Linda Chia‐Hui Yu, Chong Ding and Yen‐Hsuan Ni. Their work appears in journals such as Journal of Dental Research, Shock, Biochemical and Biophysical Research Communications, PLoS ONE and Scientific Reports.
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.