Ping Yao

269 papers receiving 7.9k citations

Ping Yao's Hit Papers

Associations between biological ageing and the risk of, genetic susceptibility to, and life expectancy associated with rheumatoid arthritis: a secondary analysis of two observational studies 2023 · 82 citations
820+4+9Years since publication200400600

Peers

Ping Yao
Comparison fields: 5 of 179
  • Biochemistry 461
  • Pathology and Forensic Medicine 824
  • Endocrinology, Diabetes and Metabolism 693
  • Pharmacology 367
  • Nutrition and Dietetics 624
Replace Changhao Sun with:
Changhao Sun China
Jingbo Pi China
Soo‐Wan Chae South Korea
Vincenzo Arcoraci Italy
Dae Young Kwon South Korea
Woon‐Puay Koh Singapore
Ali H. Eid Qatar
Ying Li China
Jacek Rysz Poland
Shekoufeh Nikfar Iran
Ping Yao relative to Changhao Sun China Changhao Sun's profile →
Citations per field
00.5×1.6×
Changhao Sun · 1×
Citations per year

Countries citing papers authored by Ping Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 282 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inflammatory Markers and Risk of Type 2 Diabetes
Hit paper breakdown →
2012680
2 2007338
3 2020242
4 2010192
5 2017172
6 2022139
7 2018131
8 2012112
9 2010110
10 2013106
11 2018105
12 2013105
13 201698
14 201792
15 201391
16 201088
17 201385
18 201885
19 200683
20 200982

About Ping Yao

Ping Yao is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 282 papers that have together received 8.1k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (28 papers), Heme Oxygenase-1 and Carbon Monoxide (18 papers), Liver Disease Diagnosis and Treatment (17 papers), Autophagy in Disease and Therapy (12 papers), Folate and B Vitamins Research (8 papers), Diet, Metabolism, and Disease (8 papers), Iron Metabolism and Disorders (8 papers) and Gout, Hyperuricemia, Uric Acid (8 papers). The work is most often cited by research in Biochemistry (461 citations), Pathology and Forensic Medicine (824 citations), Endocrinology, Diabetes and Metabolism (693 citations), Pharmacology (367 citations) and Nutrition and Dietetics (624 citations). Ping Yao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Liegang Liu, Yuhan Tang, Andreas K. Nüssler, Wei Bao, Liping Hao, Chao Gao, Zhilei Shan, Shuang Rong, Fangfang Song and Ying Zhao. Their work appears in journals such as Food and Chemical Toxicology, Nutrients, The Journal of Nutritional Biochemistry, PLoS ONE and Molecular Nutrition & Food 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.

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