Li‐Ling Wu
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Neurology top 5%
- Barrier Structure and Function Studies
Papers in
- Physiology 53
- Salivary Gland Disorders and Functions 34
- Adipose Tissue and Metabolism 8
- Neurology 25
- Barrier Structure and Function Studies 25
- Co-authors
- Xin Cong (51 shared papers)Guang‐Yan Yu (48 shared papers)Maw-Shung Liu (10 shared papers)Roland G. Scollay (5 shared papers)Ken Shortman (5 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)Biochemical and Biophysical Research Communications (6 papers)Shock (6 papers)PLoS ONE (5 papers)International Journal of Oral Science (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Li‐Ling Wu
222 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 154
- Immunology 777
- Neurology 300
- Physiology 748
- Epidemiology 752
- Cancer Research 324
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 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 213 | |
| 2 | 1988 | 192 | |
| 3 | 2015 | 171 | |
| 4 | 2011 | 157 | |
| 5 | 2019 | 141 | |
| 6 | 1994 | 86 | |
| 7 | 2015 | 85 | |
| 8 | 2013 | 83 | |
| 9 | 2015 | 74 | |
| 10 | 2014 | 71 | |
| 11 | 2023 | 71 | |
| 12 | 2013 | 67 | |
| 13 | 2015 | 65 | |
| 14 | 2015 | 61 | |
| 15 | 2001 | 57 | |
| 16 | 2021 | 57 | |
| 17 | 2016 | 56 | |
| 18 | 2018 | 55 | |
| 19 | 2018 | 52 | |
| 20 | 2010 | 51 |
About Li‐Ling Wu
Li‐Ling Wu is a scholar working on Physiology, Neurology, Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology, having authored 236 papers that have together received 4.9k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (34 papers), Barrier Structure and Function Studies (25 papers), Connexins and lens biology (15 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Cardiac Fibrosis and Remodeling (11 papers), Receptor Mechanisms and Signaling (10 papers), Ion channel regulation and function (8 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Immunology (777 citations), Neurology (300 citations), Physiology (748 citations), Epidemiology (752 citations) and Cancer Research (324 citations). Li‐Ling Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xin Cong, Guang‐Yan Yu, Maw-Shung Liu, Roland G. Scollay, Ken Shortman, Dan Wu, Ruo‐Lan Xiang, Linda Chia‐Hui Yu, Yen‐Hsuan Ni and Li Li. Their work appears in journals such as Journal of Dental Research, Biochemical and Biophysical Research Communications, Shock, PLoS ONE and International Journal of Oral Science.
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.