Wei Ling

1.9k citations
53 papers · 1.4k · h-index 18

Impact in

Papers in

Wei Ling

52 papers receiving 1.4k citations

Peers

Wei Ling
Comparison fields: 5 of 123
  • Otorhinolaryngology 115
  • Nephrology 120
  • Infectious Diseases 161
  • Endocrinology, Diabetes and Metabolism 140
  • Oncology 145
Replace Fernanda Gonçalves Salum with:
Fernanda Gonçalves Salum Brazil
Gerardo Salerno Italy
Jin-Hua Chen China
James H. Kelly United States
Pilar Gayoso Diz Spain
İbrahim Sarı Türkiye
Franz Maximilian Rasche Germany
Mainak Banerjee India
Preetha Krishnamoorthy Canada
Wenhui Chen China
Wei Ling relative to Fernanda Gonçalves Salum Brazil Fernanda Gonçalves Salum's profile →
Citations per field
00.5×2×3×4.4×
Fernanda Gonçalves Salum · 1×
Citations per year

Countries citing papers authored by Wei Ling

Since Specialization
Citations

This map shows the geographic impact of Wei Ling'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 Wei Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ling more than expected).

Fields of papers citing papers by Wei Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Ling, 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 Wei Ling Line = papers co-authored together Wei Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020336
2 2015135
3 202096
4 202390
5 201788
6 201480
7 201650
8 201741
9 202137
10 201929
11 201529
12 202128
13 201927
14 201525
15 201723
16 201521
17 202020
18 201919
19 201318
20 201617

About Wei Ling

Wei Ling is a scholar working on Nephrology, Otorhinolaryngology, Endocrinology, Diabetes and Metabolism, Biomaterials and Rheumatology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Diabetes and associated disorders (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Alzheimer's disease research and treatments (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Otorhinolaryngology (115 citations), Nephrology (120 citations), Infectious Diseases (161 citations), Endocrinology, Diabetes and Metabolism (140 citations) and Oncology (145 citations). Wei Ling has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanmei Huang, Hai‐Lu Zhao, Yi Sui, Yi Huang, Min Wang, Yao Lu, Yan-Hong Pan, Yong-chao Qiao, Shang‐Hang Xie and Yin-ling Chen. Their work appears in journals such as Journal of the Renin-Angiotensin-Aldosterone System, Medicine, Frontiers in Immunology, Epilepsy Research and Chinese Journal of Integrative Medicine.

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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