Zai Wang

2.0k citations
56 papers · 1.3k indexed · h-index 21

Impact in

Papers in

Zai Wang

55 papers receiving 1.3k citations

Peers

Zai Wang
Comparison fields: 5 of 113
  • Infectious Diseases 387
  • Animal Science and Zoology 164
  • Agronomy and Crop Science 104
  • Cell Biology 123
  • Endocrinology, Diabetes and Metabolism 108
Replace Budi Utama with:
Budi Utama United States
Huijun Zhang China
Gudrun Totzke Germany
Matthieu Prot France
Tino Hochepied Belgium
Shannon Wing‐Ngor Au Hong Kong
Takashi Kanaya Japan
Mihiro Yano Japan
Alan J. Young United States
R. N. Hull United States
Zai Wang relative to Budi Utama United States Budi Utama's profile →
Citations per field
00.5×4.7×
Budi Utama · 1×
Citations per year

Countries citing papers authored by Zai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004120
2 2004114
3 200784
4 200484
5 201766
6 202150
7 201747
8 201347
9 201446
10 200445
11 201044
12 202138
13 202331
14 202028
15 202128
16 201828
17 201724
18 201922
19 202021
20 202421

About Zai Wang

Zai Wang is a scholar working on Infectious Diseases, Clinical Biochemistry, Animal Science and Zoology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Pancreatic function and diabetes (8 papers), Animal Virus Infections Studies (5 papers), Diabetes and associated disorders (5 papers), Autophagy in Disease and Therapy (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), COVID-19 Clinical Research Studies (5 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (387 citations), Animal Science and Zoology (164 citations), Agronomy and Crop Science (104 citations), Cell Biology (123 citations) and Endocrinology, Diabetes and Metabolism (108 citations). Zai Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peigang Wang, Hongkui Deng, Mingxiao Ding, Yuchun Nie, Liang Peng, Shiqing Xu, Qing Fang, Honglin Liu, Jian‐Dong Huang and Wenjian Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Stem Cell Research & Therapy, Frontiers in Cell and Developmental Biology, EBioMedicine and Frontiers in Medicine.

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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