Peng Zhao

5.0k citations
97 papers · 3.4k indexed · 2 hit papers · h-index 33

Peng Zhao

94 papers receiving 3.4k citations

Hit Papers

An AMPK–caspase-6 axis controls liver damage in nonalcoho...236201820262020202350100150200

Peers

Peng Zhao
Comparison fields: 5 of 133
  • Cancer Research 513
  • Epidemiology 825
  • Molecular Biology 1.5k
  • Immunology 467
  • Biomaterials 287
Replace Sang Hun Lee with:
Sang Hun Lee South Korea
Takako Fujiwara Japan
De‐Li Dong China
Ting Zhang China
Wei‐Chien Huang Taiwan
Hideyuki Yamawaki Japan
Jing Wei China
Kai Qu China
Y. Eugene Chen United States
Kyung Hee Jung South Korea
Peng Zhao relative to Sang Hun Lee South Korea Sang Hun Lee's profile →
Citations per field
00.5×1.5×
Sang Hun Lee · 1×
Citations per year

Countries citing papers authored by Peng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20242
5 20229
6 20224
7 202114
8 20217
9
An AMPK–caspase-6 axis controls liver damage in nonalcoholic steatohepatitisbreakdown →
2020236
10 202037
11
Effects of triptolide and methotrexate nanosuspensions on left ventricular remodeling in autoimmune myocarditis rats
20191
12
ER Stress Drives Lipogenesis and Steatohepatitis via Caspase-2 Activation of S1Pbreakdown →
2018246
13 201731
14 2017122
15 201632
16 201615
17 2016226
18 201480
19 201452
20 201214

About Peng Zhao

Peng Zhao is a scholar working on Cancer Research, Immunology and Complementary and alternative medicine, having authored 97 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Nanoplatforms for cancer theranostics (8 papers), Immunotherapy and Immune Responses (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Immune Cell Function and Interaction (6 papers), Cancer-related molecular mechanisms research (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Cancer Research (513 citations), Epidemiology (825 citations) and Molecular Biology (1.5k citations). Peng Zhao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Alan R. Saltiel, Jacqueline M. Stephens, Ning Gu, Xiaoli Sun, Zhongji Liao, Rohit Loomba, Michael Karin, Mingnan Chen, Hao Wu and Shuyun Dong. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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