Yaping Hao

31 papers receiving 824 citations

Peers

Yaping Hao
Comparison fields: 5 of 84
  • Orthopedics and Sports Medicine 66
  • Pathology and Forensic Medicine 123
  • Endocrinology, Diabetes and Metabolism 109
  • Nephrology 37
  • Management Science and Operations Research 64
Replace Fatemeh Esfahanian with:
Fatemeh Esfahanian Iran
Scott Moseley United States
Wanyuan He China
Si‐Gyun Roh South Korea
Egil Henriksen Sweden
Yul Hwangbo South Korea
Sung Hye Kong South Korea
Jung‐Ryul Kim South Korea
Seongbin Hong South Korea
Yaping Hao relative to Fatemeh Esfahanian Iran Fatemeh Esfahanian's profile →
Citations per field
00.5×2×4×6×7.8×
Fatemeh Esfahanian · 1×
Citations per year

Countries citing papers authored by Yaping Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013121
2 2012105
3 202073
4 201243
5 201339
6 201437
7 202335
8 201433
9 201332
10 201331
11 201531
12 201431
13 201525
14 201423
15 201521
16 201421
17 201518
18 201517
19 201517
20 201514

About Yaping Hao

Yaping Hao is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Hepatology and Epidemiology, having authored 34 papers that have together received 834 indexed citations. Recurring topics across this work include Vitamin D Research Studies (5 papers), Fibroblast Growth Factor Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Heat Transfer Mechanisms (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Alcohol Consumption and Health Effects (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (66 citations), Pathology and Forensic Medicine (123 citations), Endocrinology, Diabetes and Metabolism (109 citations), Nephrology (37 citations) and Management Science and Operations Research (64 citations). Yaping Hao has collaborated with scholars based in China and India. Frequent co-authors include Yuqian Bao, Weiping Jia, Xiaojing Ma, Qiang Gao, Yuqi Luo, Zhigang Lu, Yun Shen, Jian Ping Zhou, Feifei Wang and Meifang Gao. Their work appears in journals such as PLoS ONE, Clinical and Experimental Pharmacology and Physiology, Cardiovascular Diabetology, The Journal of Clinical Endocrinology & Metabolism and Acta Pharmacologica Sinica.

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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