Guang Wang

52 total papers · 561 total citations
27 papers, 424 citations indexed

About

Guang Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Guang Wang has authored 27 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Guang Wang's work include Liver Disease Diagnosis and Treatment (4 papers), Bone Metabolism and Diseases (3 papers) and Diabetes and associated disorders (3 papers). Guang Wang is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Bone Metabolism and Diseases (3 papers) and Diabetes and associated disorders (3 papers). Guang Wang collaborates with scholars based in China, United Kingdom and United States. Guang Wang's co-authors include Yin Ding, Liang Tang, Yan Cai, Li Liao, Songtao Shi, Yan Jin, Shu-Li Cheng, Yuanyuan Shi, Cheng‐Hu Hu and Xi Wang and has published in prestigious journals such as Scientific Reports, Journal of Bone and Mineral Research and Trends in Food Science & Technology.

In The Last Decade

Guang Wang

25 papers receiving 423 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guang Wang 237 143 61 61 49 27 424
Tiejian Jiang 281 1.2× 98 0.7× 43 0.7× 42 0.7× 67 1.4× 30 467
Tao Qin 221 0.9× 148 1.0× 42 0.7× 37 0.6× 18 0.4× 31 462
Adam J. Guess 192 0.8× 72 0.5× 148 2.4× 58 1.0× 32 0.7× 21 481
Zhuying Xia 352 1.5× 240 1.7× 54 0.9× 70 1.1× 15 0.3× 15 485
Zhengju Fu 157 0.7× 63 0.4× 57 0.9× 72 1.2× 76 1.6× 14 409
Sida Zhao 209 0.9× 102 0.7× 103 1.7× 62 1.0× 62 1.3× 32 428
W Zumkeller 202 0.9× 71 0.5× 38 0.6× 40 0.7× 155 3.2× 21 406
Edgar Maquigussa 217 0.9× 37 0.3× 66 1.1× 40 0.7× 45 0.9× 28 452
Chantal Humblet 149 0.6× 62 0.4× 51 0.8× 129 2.1× 16 0.3× 35 456
Atsuhiro Fujie 278 1.2× 96 0.7× 26 0.4× 124 2.0× 24 0.5× 16 492

Countries citing papers authored by Guang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Wang

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

All Works

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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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