Ling Wu

1.3k citations
65 papers · 840 · h-index 16

Impact in

Papers in

    • Pediatric Hepatobiliary Diseases and Treatments 3
    • Liver Disease Diagnosis and Treatment 16

Ling Wu

57 papers receiving 826 citations

Peers

Ling Wu
Comparison fields: 5 of 113
  • Occupational Therapy 100
  • Complementary and Manual Therapy 51
  • Endocrinology, Diabetes and Metabolism 142
  • Hepatology 67
  • Rehabilitation 52
Replace R. M. Francis with:
R. M. Francis United Kingdom
Laurids Østergaard Poulsen Denmark
Isabel Fonseca Portugal
A Rapado Spain
Elke Hunsche United States
Miran A. Jaffa Lebanon
Meltem Özden Yüce Türkiye
Donald Pearson United Kingdom
C. H. Chesnut United States
Justin C. Wu Hong Kong
Ling Wu relative to R. M. Francis United Kingdom R. M. Francis's profile →
Citations per field
00.5×10×20×30×40×50×
R. M. Francis · 1×
Citations per year

Countries citing papers authored by Ling Wu

Since Specialization
Citations

This map shows the geographic impact of 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 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 Ling Wu more than expected).

Fields of papers citing papers by Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by 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 Ling Wu. The network helps show where Ling Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside 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 Ling Wu Line = papers co-authored together 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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 202068
3 201866
4 202060
5 201748
6 201547
7 201538
8 201432
9 201926
10 200026
11 202022
12 201618
13 201118
14 201618
15 202015
16 202215
17 202114
18 201912
19 201411
20 201811

About Ling Wu

Ling Wu is a scholar working on Surgery, Epidemiology, Hepatology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 840 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (12 papers), Congenital heart defects research (4 papers), Wound Healing and Treatments (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Cardiovascular Function and Risk Factors (3 papers), Dialysis and Renal Disease Management (3 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Occupational Therapy (100 citations), Complementary and Manual Therapy (51 citations), Endocrinology, Diabetes and Metabolism (142 citations), Hepatology (67 citations) and Rehabilitation (52 citations). Ling Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qiang She, Min Wei, Dongliang Yang, Yan Chen, Songbai Deng, Wenyue Chen, Xiaodong Jing, Yuling Yan, Jie Wang and Jing Zhao. Their work appears in journals such as Scientific Reports, Journal of Tissue Viability, Journal of Clinical Nursing, Synthesis and Hepatology International.

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.

Explore authors with similar magnitude of impact