Guodao Wen

18 total papers · 543 total citations
16 papers, 411 citations indexed

About

Guodao Wen is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Guodao Wen has authored 16 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Guodao Wen's work include Pituitary Gland Disorders and Treatments (9 papers), Meningioma and schwannoma management (5 papers) and Head and Neck Surgical Oncology (4 papers). Guodao Wen is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Meningioma and schwannoma management (5 papers) and Head and Neck Surgical Oncology (4 papers). Guodao Wen collaborates with scholars based in China and Netherlands. Guodao Wen's co-authors include Chao Tang, Chiyuan Ma, Handong Wang, Yongyue Gao, Chunyu Zhong, Zixiang Cong, Meng‐Liang Zhou, Lei Mao, Youwu Fan and Xiang Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cell Death and Disease.

In The Last Decade

Guodao Wen

16 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
Guodao Wen	161	110	99	75	60	16	411
Stephanie M.Y. Kong	200 1.2×	79 0.7×	64 0.6×	67 0.9×	104 1.7×	14	460
K. Žarković	78 0.5×	69 0.6×	63 0.6×	69 0.9×	58 1.0×	18	413
Gang Yuan	107 0.7×	75 0.7×	102 1.0×	91 1.2×	31 0.5×	26	391
Mariarita Arlotta	115 0.7×	72 0.7×	65 0.7×	55 0.7×	14 0.2×	16	494
Micheline Boquillon	123 0.8×	104 0.9×	104 1.1×	47 0.6×	25 0.4×	17	394
Kai Wang	207 1.3×	60 0.5×	30 0.3×	39 0.5×	24 0.4×	17	479
Mohamed El‐Shafey	170 1.1×	45 0.4×	62 0.6×	60 0.8×	20 0.3×	27	491
H Saito	132 0.8×	56 0.5×	39 0.4×	117 1.6×	47 0.8×	19	465
Wei Wang	237 1.5×	69 0.6×	27 0.3×	43 0.6×	44 0.7×	27	493
M. Z. M. Ibrahim	162 1.0×	99 0.9×	36 0.4×	27 0.4×	24 0.4×	22	439

Countries citing papers authored by Guodao Wen

Since Specialization

Citations

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

Fields of papers citing papers by Guodao Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guodao Wen

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