Ping Han

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

Impact in

Papers in

Ping Han

38 papers receiving 1.1k citations

Peers

Ping Han
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 527
  • Biochemistry 101
  • Clinical Biochemistry 56
  • Physiology 191
  • Pharmacology 118
Replace Yuliya Mikhed with:
Yuliya Mikhed Germany
Paul Stamm Germany
Cecilia Morgantini Canada
Luping Guo United States
Maren Carstensen Germany
Helayne Soares Freitas Brazil
Yunfeng Shen China
Erica Vetrano Italy
M Verza Italy
Li Cai China
Ping Han relative to Yuliya Mikhed Germany Yuliya Mikhed's profile →
Citations per field
00.5×1.5×
Yuliya Mikhed · 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 2016131
2 2011103
3 201184
4 201473
5 201270
6 201463
7 201557
8 198350
9 201241
10 201039
11 201132
12 201629
13 201529
14
Effects of different free fatty acids on insulin resistance in rats.
200828
15 201527
16 201224
17 201624
18 201421
19 201618
20 201117

About Ping Han

Ping Han is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Epidemiology and Physiology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Metabolism, Diabetes, and Cancer (15 papers), Diabetes Management and Research (11 papers), Bariatric Surgery and Outcomes (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (527 citations), Biochemistry (101 citations), Clinical Biochemistry (56 citations), Physiology (191 citations) and Pharmacology (118 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, Henan Liu, Sheng Zhao, Tiegang Li, Yongyan Zhang and Yan Lü. Their work appears in journals such as Journal of Diabetes, Obesity Surgery, Diabetes Research and Clinical Practice, Journal of Diabetes Investigation and Diabetes/Metabolism Research and Reviews.

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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