Zhao Wang

2.9k total citations · 1 hit paper
57 papers, 2.3k citations indexed

About

Zhao Wang is a scholar working on Molecular Biology, Geriatrics and Gerontology and Physiology. According to data from OpenAlex, Zhao Wang has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Geriatrics and Gerontology and 12 papers in Physiology. Recurrent topics in Zhao Wang's work include Sirtuins and Resveratrol in Medicine (15 papers), Adipose Tissue and Metabolism (6 papers) and Bone Metabolism and Diseases (6 papers). Zhao Wang is often cited by papers focused on Sirtuins and Resveratrol in Medicine (15 papers), Adipose Tissue and Metabolism (6 papers) and Bone Metabolism and Diseases (6 papers). Zhao Wang collaborates with scholars based in China, United States and Japan. Zhao Wang's co-authors include Liyuan Li, Chi Zhang, Weiguo Zhang, Tiancong Qi, Fajun Nan, Daoxin Xie, Jianbin Yan, Min Gu, Hai‐Bin Luo and Peng Wen and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and The Plant Cell.

In The Last Decade

Zhao Wang

57 papers receiving 2.3k citations

Hit Papers

The Arabidopsis CORONATINE INSENSITIVE1 Protein Is a Jasm... 2009 2026 2014 2020 2009 200 400 600

Peers

Zhao Wang
Comparison fields: 5 of 120
  • Molecular Biology 980
  • Plant Science 689
  • Insect Science 338
  • Physiology 253
  • Geriatrics and Gerontology 245
Replace Hyun Chul Koh with:
Hyun Chul Koh South Korea
Annalisa Salis Italy
Mark Rinnerthaler Austria
Jian Ding China
Dong Wook Shin South Korea
Shiming Liu China
Yajun Yang China
Jiujiu Yu United States
Jae Man Lee Japan
Hongtao Wang China
Hyun Chul Koh South Korea View profile →
Citations per field, relative to Zhao Wang
Zhao Wang · 1×
Citations per year, relative to Zhao Wang
Zhao Wang · 1×

Countries citing papers authored by Zhao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Wang. A scholar is included among the top collaborators of Zhao Wang 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 Zhao Wang. Zhao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 12
4 8
5 13
6 22
7 111
8 13
9 10
10 88
11 52
12 15
13 151
14 22
15
The Arabidopsis CORONATINE INSENSITIVE1 Protein Is a Jasmonate Receptor  breakdown →
641
16 14
17 33
18 27
19 18
20 157

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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