Shukui Wang

35 total papers · 938 total citations
19 papers, 672 citations indexed

About

Shukui Wang is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Shukui Wang has authored 19 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Physiology. Recurrent topics in Shukui Wang's work include Helicobacter pylori-related gastroenterology studies (4 papers), Veterinary medicine and infectious diseases (3 papers) and COVID-19 Clinical Research Studies (2 papers). Shukui Wang is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (4 papers), Veterinary medicine and infectious diseases (3 papers) and COVID-19 Clinical Research Studies (2 papers). Shukui Wang collaborates with scholars based in China, United States and Nigeria. Shukui Wang's co-authors include Jindan Wu, Danqing Song, Jian‐Dong Jiang, Rong Xue, Hao Zhang, Yueming Wang, Zizheng Wang, Weijia Kong, Wei Zhao and Jing Wei and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Fertility and Sterility.

In The Last Decade

Shukui Wang

19 papers receiving 651 citations

Author Peers

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

Author Last Decade Papers Cites
Shukui Wang 274 186 156 117 109 19 672
Zhaoyi Huang 192 0.7× 274 1.5× 220 1.4× 118 1.0× 91 0.8× 19 775
Fen Yuan 91 0.3× 243 1.3× 85 0.5× 51 0.4× 92 0.8× 20 654
Feng Yu 100 0.4× 183 1.0× 48 0.3× 218 1.9× 68 0.6× 40 768
Ka Wu 63 0.2× 289 1.6× 58 0.4× 184 1.6× 57 0.5× 28 761
Nynke G L Jager 264 1.0× 124 0.7× 62 0.4× 91 0.8× 46 0.4× 36 713
Kayoko Ohura 208 0.8× 182 1.0× 49 0.3× 146 1.2× 53 0.5× 31 648
You Li 132 0.5× 234 1.3× 62 0.4× 87 0.7× 31 0.3× 27 665
Daniela Gentile 53 0.2× 201 1.1× 42 0.3× 78 0.7× 93 0.9× 27 679
Zhaojie Meng 172 0.6× 328 1.8× 30 0.2× 144 1.2× 159 1.5× 19 684
Anubha Singh 51 0.2× 176 0.9× 62 0.4× 104 0.9× 87 0.8× 27 677

Countries citing papers authored by Shukui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shukui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shukui Wang. A scholar is included among the top collaborators of Shukui 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 Shukui Wang. Shukui 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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