Zhigang Wang

2.0k citations
57 papers · 1.7k indexed · h-index 24

Zhigang Wang

54 papers receiving 1.7k citations

Peers

Zhigang Wang
Comparison fields: 5 of 124
  • Biochemistry 176
  • Endocrinology, Diabetes and Metabolism 204
  • Nutrition and Dietetics 185
  • Physiology 297
  • Molecular Biology 778
Replace Y. Inaba with:
Y. Inaba Japan
Tomonaga Ichikawa Japan
Merce Miranda Spain
Ekaterina A. Ivanova Russia
Takeshi Yoshizaki Japan
Dionysios V. Chartoumpekis Greece
Susanne Schuster Germany
Brante P. Sampey United States
Doina Popov Romania
Mingming Gao United States
Zhigang Wang relative to Y. Inaba Japan Y. Inaba's profile →
Citations per field
00.5×1.6×
Y. Inaba · 1×
Citations per year

Countries citing papers authored by Zhigang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhigang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20250
4 20251
5 20251
6 20251
7 20241
8 20242
9 20235
10 20223
11 202166
12 2019105
13 20181
14 201817
15 201240
16 201144
17 20103
18 200972
19 200710
20 200112

About Zhigang Wang

Zhigang Wang is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology, Pathology and Forensic Medicine and Epidemiology, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Alcohol Consumption and Health Effects (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers) and Particle physics theoretical and experimental studies (3 papers). The work is most often cited by research in Biochemistry (176 citations), Endocrinology, Diabetes and Metabolism (204 citations), Nutrition and Dietetics (185 citations), Physiology (297 citations) and Molecular Biology (778 citations). Zhigang Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenyuan Song, Yao Tong, Zhanxiang Zhou, Daling Zhu, Roger D. Kornberg, Thomas F. Donahue, Jesper Q. Svejstrup, David Bushnell, Errol C. Friedberg and Songtao Li. Their work appears in journals such as European Journal of Pharmacology, Metabolism, Journal of Pharmacology and Experimental Therapeutics, Chinese Physics C and PLoS ONE.

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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