Yuling Xing

403 citations
17 papers · 239 · h-index 9

Impact in

Papers in

Yuling Xing

16 papers receiving 236 citations

Peers

Yuling Xing
Comparison fields: 5 of 60
  • Health, Toxicology and Mutagenesis 104
  • Endocrinology, Diabetes and Metabolism 68
  • Obstetrics and Gynecology 26
  • Pollution 26
  • Nutrition and Dietetics 32
Replace Jasmine G. Lyons with:
Jasmine G. Lyons Australia
Ramazan Kocabaş Türkiye
Yu-Chung Tsao Taiwan
Domingo Acosta Spain
G O Taylor Nigeria
Tsui-Shan Lu United States
Chenxi Qin China
Mohammad R Kafai United States
Sarah Howard United Kingdom
Yuling Xing relative to Jasmine G. Lyons Australia Jasmine G. Lyons's profile →
Citations per field
00.5×1.5×2.4×
Jasmine G. Lyons · 1×
Citations per year

Countries citing papers authored by Yuling Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201847
2 202039
3 201730
4
Associations Between GGT/HDL and MAFLD: A Cross-Sectional Study
202224
5 202022
6 202313
7 202112
8 20239
9
Relationship Between Serum Uric Acid-to-Creatinine Ratio and the Risk of Metabolic-Associated Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus
20228
10 20238
11 20218
12 20206
13 20225
14 20215
15 20202
16 20241
17 20240

About Yuling Xing

Yuling Xing is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Epidemiology, Health, Toxicology and Mutagenesis and Surgery, having authored 17 papers that have together received 239 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Diet, Metabolism, and Disease (3 papers), Thyroid Disorders and Treatments (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Alcohol Consumption and Health Effects (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (104 citations), Endocrinology, Diabetes and Metabolism (68 citations), Obstetrics and Gynecology (26 citations), Pollution (26 citations) and Nutrition and Dietetics (32 citations). Yuling Xing has collaborated with scholars based in China and United States. Frequent co-authors include Huijuan Ma, Jinhu Chen, Wei Xia, Aifen Zhou, Jing Liu, Hongxiu Liu, Chen Hu, Shunqing Xu, Xiaomei Chen and Bin Zhang. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Chemosphere, Environment International, Frontiers in Endocrinology and Hormone and Metabolic Research.

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