Kunling Wang

417 citations
23 papers · 310 indexed · h-index 10

Impact in

Papers in

Kunling Wang

21 papers receiving 302 citations

Peers

Kunling Wang
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 103
  • Electronic, Optical and Magnetic Materials 55
  • Pathology and Forensic Medicine 52
  • Polymers and Plastics 31
  • Nutrition and Dietetics 29
Replace Doo Seok Choi with:
Doo Seok Choi South Korea
Qiyue Gao China
Rabia Farooq India
Lixin Shi China
Matthew A. Cottam United States
Kaichao Pan China
Erika LaPorta United States
Li Tao China
Linlin Chen China
Oksana Sulaieva Ukraine
Kunling Wang relative to Doo Seok Choi South Korea Doo Seok Choi's profile →
Citations per field
00.5×4.2×
Doo Seok Choi · 1×
Citations per year

Countries citing papers authored by Kunling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kunling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201365
2 202255
3 201838
4 201727
5 201825
6 202123
7 201821
8 202110
9 20239
10 20179
11 20226
12 20224
13 20104
14 20223
15 20223
16 20182
17 20102
18 20251
19 20241
20 20101

About Kunling Wang

Kunling Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Geography, Planning and Development, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Thyroid Disorders and Treatments (3 papers), Vitamin D Research Studies (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (103 citations), Electronic, Optical and Magnetic Materials (55 citations), Pathology and Forensic Medicine (52 citations), Polymers and Plastics (31 citations) and Nutrition and Dietetics (29 citations). Kunling Wang has collaborated with scholars based in China, Canada and Malawi. Frequent co-authors include Hongyan Wei, Mei Zhu, Wanqi Zhang, Long Tan, Zhongyan Shan, Qianming Gong, Peixu Li, Miao Zhu, Feng Lin and Minlin Zhong. Their work appears in journals such as Scientific Reports, BMJ Open, Diabetes, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Biotechnology Letters.

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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