Peihong Wu

1.0k total citations · 1 hit paper
7 papers, 635 citations indexed

About

Peihong Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Peihong Wu has authored 7 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Peihong Wu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Management and Research (2 papers). Peihong Wu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Management and Research (2 papers). Peihong Wu collaborates with scholars based in China. Peihong Wu's co-authors include Na Zhu, Guang Ning, Dajin Zou, Wei Liu, Miao Wang, Yifei Zhang, Jie Hong, Li Huo, Jialin Yang and Tao Tao and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and BMJ Open.

In The Last Decade

Peihong Wu

6 papers receiving 624 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Treatment of Type 2 Diabetes and Dyslipidemia with the Natural Plant Alkaloid Berberine

2008 462 citations Yifei Zhang, Dajin Zou et al. The Journal of Clinical Endocrinology & Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peihong Wu China	5	346	245	234	121	92	7	635
Zhaojie Meng United States	14	172 0.5×	159 0.6×	334 1.4×	144 1.2×	46 0.5×	19	686
Zongyao Zou China	13	296 0.9×	93 0.4×	358 1.5×	185 1.5×	93 1.0×	19	704
Feixia Dong China	6	236 0.7×	84 0.3×	173 0.7×	124 1.0×	68 0.7×	8	518
Jinfeng Tang China	6	253 0.7×	151 0.6×	199 0.9×	81 0.7×	58 0.6×	7	560
Wenjie Zheng China	5	237 0.7×	87 0.4×	190 0.8×	123 1.0×	70 0.8×	6	490
Jiarong Lan China	6	231 0.7×	82 0.3×	131 0.6×	112 0.9×	63 0.7×	9	415
Chengjuan Gu China	8	181 0.5×	78 0.3×	172 0.7×	105 0.9×	39 0.4×	10	412
Rong Xue China	8	442 1.3×	150 0.6×	323 1.4×	189 1.6×	105 1.1×	12	775
G. Sriram Prasath India	8	105 0.3×	214 0.9×	133 0.6×	46 0.4×	87 0.9×	17	434
Zezheng Gao China	15	112 0.3×	114 0.5×	392 1.7×	101 0.8×	51 0.6×	30	694

Countries citing papers authored by Peihong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Peihong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Peihong Wu. A scholar is included among the top collaborators of Peihong Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peihong Wu. Peihong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

An, Chao, Lujun Shen, Qifeng Chen, et al.. (2025). Identification of candidates with hepatocellular carcinoma to receive TACE combined with MWA by assessing tumor burden and radiologic features. Therapeutic Advances in Medical Oncology. 17. 22768788–22768788.

2.

Tao, Tao, Peihong Wu, Yuying Wang, & Wei Liu. (2018). Comparison of glycemic control and β-cell function in new onset T2DM patients with PCOS of metformin and saxagliptin monotherapy or combination treatment. BMC Endocrine Disorders. 18(1). 14–14. 28 indexed citations

3.

Zheng, Shuang, Hua Xu, Huan Zhou, et al.. (2017). Associations of lipid profiles with insulin resistance and β cell function in adults with normal glucose tolerance and different categories of impaired glucose regulation. PLoS ONE. 12(2). e0172221–e0172221. 41 indexed citations

4.

Zheng, Shuang, Han Tingting, Hua Xu, et al.. (2017). Associations of apolipoprotein B/apolipoprotein A-I ratio with pre-diabetes and diabetes risks: a cross-sectional study in Chinese adults. BMJ Open. 7(1). e014038–e014038. 19 indexed citations

5.

Hu, Yaomin, Wei Liu, Ya–Wen Chen, et al.. (2009). Combined use of fasting plasma glucose and glycated hemoglobin A1c in the screening of diabetes and impaired glucose tolerance. Acta Diabetologica. 47(3). 231–236. 83 indexed citations

6.

Liu, Wei, Peihong Wu, Lihua Wang, et al.. (2009). Extrapolation Of Clinical Data From An Oral Glucose Tolerance Test Using A Support Vector Machine. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

7.

Zhang, Yifei, Dajin Zou, Wei Liu, et al.. (2008). Treatment of Type 2 Diabetes and Dyslipidemia with the Natural Plant Alkaloid Berberine. The Journal of Clinical Endocrinology & Metabolism. 93(7). 2559–2565. 462 indexed citations breakdown →

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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