Ping Han

1.5k citations
40 papers · 1.1k · h-index 19

Impact in

Papers in

Ping Han

39 papers receiving 1.1k citations

Peers

Ping Han
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 442
  • Biochemistry 101
  • Clinical Biochemistry 45
  • Physiology 153
  • Geriatrics and Gerontology 19
Replace Seiichiro Kurita with:
Seiichiro Kurita Japan
Antonio Hernández‐Ono United States
Paul Stamm Germany
Elena M. V. de Cavanagh Argentina
Feihan F. Dai Canada
Rehab Ahmed Rifaai Egypt
Katsumi Maezono Japan
Li Cai China
Shumei Meng United States
Zhigang Xu China
Ping Han relative to Seiichiro Kurita Japan Seiichiro Kurita's profile →
Citations per field
00.5×1.5×
Seiichiro Kurita · 1×
Citations per year

Countries citing papers authored by Ping Han

Since Specialization
Citations

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

Fields of papers citing papers by Ping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016135
2 2011106
3 201191
4 201473
5 201270
6 201464
7 201559
8 198352
9 201042
10 201242
11 201133
12 201530
13 201629
14
Effects of different free fatty acids on insulin resistance in rats.
200828
15 201227
16 201527
17 201625
18 201422
19 201618
20 202217

About Ping Han

Ping Han is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (14 papers), Metabolism, Diabetes, and Cancer (5 papers), Bariatric Surgery and Outcomes (4 papers), Diabetes Management and Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Diet, Metabolism, and Disease (2 papers), Fiscal Policies and Political Economy (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (442 citations), Biochemistry (101 citations), Clinical Biochemistry (45 citations), Physiology (153 citations) and Geriatrics and Gerontology (19 citations). Ping Han has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Na Wu, Bing He, Yanjun Wang, Haitao Shen, Yu Zuo Bai, Sheng Zhao, Henan Liu, Tiegang Li, Yongyan Zhang and Yan Lü. Their work appears in journals such as Journal of Diabetes, Diabetes Research and Clinical Practice, Obesity Surgery, Diabetes Obesity and Metabolism and Journal of Diabetes Investigation.

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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