Weiling Leng

441 citations
19 papers · 351 · h-index 9

Impact in

Papers in

Weiling Leng

18 papers receiving 348 citations

Peers

Weiling Leng
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 197
  • Rehabilitation 34
  • Clinical Biochemistry 22
  • Cardiology and Cardiovascular Medicine 67
  • Occupational Therapy 12
Replace Ching Fai Kwok with:
Ching Fai Kwok Taiwan
Fengjuan Yan China
Alana Aragón‐Herrera Spain
Weiheng Wen China
Lamia Amoura France
Can Pang China
Elisabetta Nardella Italy
Marissa Lightbourne United States
MA Xiu-mei China
Chen Xia China
Weiling Leng relative to Ching Fai Kwok Taiwan Ching Fai Kwok's profile →
Citations per field
00.5×3.6×
Ching Fai Kwok · 1×
Citations per year

Countries citing papers authored by Weiling Leng

Since Specialization
Citations

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

Fields of papers citing papers by Weiling Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016148
2 201955
3 201833
4 201817
5 202114
6 201714
7 201612
8 201911
9 201910
10 20177
11 20196
12 20155
13 20215
14 20184
15 20224
16 20243
17 20232
18 20211
19 20240

About Weiling Leng

Weiling Leng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Pancreatic function and diabetes (2 papers), Advanced MRI Techniques and Applications (2 papers), Wound Healing and Treatments (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (197 citations), Rehabilitation (34 citations), Clinical Biochemistry (22 citations), Cardiology and Cardiovascular Medicine (67 citations) and Occupational Therapy (12 citations). Weiling Leng has collaborated with scholars based in China and United States. Frequent co-authors include Ziwen Liang, Liu Chen, Qinan Wu, Xinshou Ouyang, Wuquan Deng, Bing Chen, Jian Wang, Xiaochun Zhang, Zhihui Zhang and Xiaoyue Zhou. Their work appears in journals such as Annals of Translational Medicine, International journal of cardiac imaging, Diabetes Metabolic Syndrome and Obesity, Molecular and Cellular Endocrinology and Advances in Clinical and Experimental 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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