Wen Wang

101 total papers · 3.9k total citations
71 papers, 2.3k citations indexed

About

Wen Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Wen Wang has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Surgery. Recurrent topics in Wen Wang's work include Diabetes Treatment and Management (6 papers), Cancer-related molecular mechanisms research (6 papers) and Adrenal and Paraganglionic Tumors (5 papers). Wen Wang is often cited by papers focused on Diabetes Treatment and Management (6 papers), Cancer-related molecular mechanisms research (6 papers) and Adrenal and Paraganglionic Tumors (5 papers). Wen Wang collaborates with scholars based in China, United States and Sweden. Wen Wang's co-authors include Huan‐Zhong Shi, Peng Peng, Juan Du, Ming Hu, Ming Li, Qi Zhu, Wei Jia, Gang Li, Zheng Zhao and Haoyuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Wen Wang

68 papers receiving 2.2k citations

Hit Papers

Predictors of mortality f... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Wen Wang 990 579 460 367 292 71 2.3k
Mingyue Li 1.0k 1.0× 444 0.8× 461 1.0× 232 0.6× 261 0.9× 53 2.2k
Haizhou Wang 1.3k 1.3× 587 1.0× 368 0.8× 322 0.9× 295 1.0× 62 2.5k
Guang Li 922 0.9× 490 0.8× 898 2.0× 354 1.0× 202 0.7× 98 2.8k
Zili Zhang 968 1.0× 445 0.8× 445 1.0× 286 0.8× 332 1.1× 48 2.4k
Lianghong Yin 713 0.7× 409 0.7× 713 1.6× 188 0.5× 174 0.6× 102 2.4k
Lei Zhao 861 0.9× 494 0.9× 383 0.8× 185 0.5× 296 1.0× 107 2.3k
Meifang Wang 951 1.0× 571 1.0× 496 1.1× 383 1.0× 157 0.5× 76 2.4k
Chen Dong 1.1k 1.1× 486 0.8× 594 1.3× 230 0.6× 674 2.3× 76 2.6k
Dong Liu 1.5k 1.6× 860 1.5× 533 1.2× 652 1.8× 322 1.1× 71 3.2k
Yiming Li 1.0k 1.0× 502 0.9× 502 1.1× 265 0.7× 299 1.0× 74 2.8k

Countries citing papers authored by Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Wang

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