Li‐Ling Wu

6.2k citations
234 papers · 4.8k indexed · h-index 40

Impact in

  • Neurology top 2%
    • Barrier Structure and Function Studies
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Barrier Structure and Function Studies 27
    • Salivary Gland Disorders and Functions 38
    • Adipose Tissue and Metabolism 11

Li‐Ling Wu

217 papers receiving 4.7k citations

Peers

Li‐Ling Wu
Comparison fields: 5 of 166
  • Neurology 345
  • Immunology 828
  • Physiology 861
  • Cancer Research 389
  • Molecular Biology 1.7k
Replace Hiroshi Okamoto with:
Hiroshi Okamoto Japan
Eun Kyoung Kim South Korea
Xu Wang China
Toshio Watanabe Japan
Danièle Bani Italy
Steen Seier Poulsen Denmark
Dimitry A. Chistiakov Russia
Dezhi Mu China
Werner A. Scherbaum Germany
Hong Wang United States
Li‐Ling Wu relative to Hiroshi Okamoto Japan Hiroshi Okamoto's profile →
Citations per field
00.5×10×
Hiroshi Okamoto · 1×
Citations per year

Countries citing papers authored by Li‐Ling Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Li‐Ling Wu Line = papers co-authored together Li‐Ling Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009202
2 1988191
3 2015163
4 2011157
5 2019122
6 2010103
7 2019101
8 201583
9 201381
10 199481
11 201572
12 201364
13 201464
14 201561
15 201558
16 202154
17 201851
18 201050
19 200650
20 202349

About Li‐Ling Wu

Li‐Ling Wu is a scholar working on Neurology, Physiology, Cardiology and Cardiovascular Medicine, Cancer Research and Periodontics, having authored 234 papers that have together received 4.8k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (38 papers), Barrier Structure and Function Studies (27 papers), Connexins and lens biology (17 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Cancer-related molecular mechanisms research (12 papers), Receptor Mechanisms and Signaling (12 papers), Cardiac Fibrosis and Remodeling (12 papers) and Adipose Tissue and Metabolism (11 papers). The work is most often cited by research in Neurology (345 citations), Immunology (828 citations), Physiology (861 citations), Cancer Research (389 citations) and Molecular Biology (1.7k 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, Ken Shortman, Roland Scollay, Dan Wu, Ruo‐Lan Xiang, Linda Chia‐Hui Yu, Yun Zhou and Chong Ding. Their work appears in journals such as Journal of Dental Research, Shock, Biochemical and Biophysical Research Communications, 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.

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