Gen Wen

48 total papers · 479 total citations
32 papers, 347 citations indexed

About

Gen Wen is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Gen Wen has authored 32 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Gen Wen's work include Bone fractures and treatments (7 papers), Bioinformatics and Genomic Networks (7 papers) and Orthopedic Surgery and Rehabilitation (4 papers). Gen Wen is often cited by papers focused on Bone fractures and treatments (7 papers), Bioinformatics and Genomic Networks (7 papers) and Orthopedic Surgery and Rehabilitation (4 papers). Gen Wen collaborates with scholars based in China, France and United Kingdom. Gen Wen's co-authors include Yimin Chai, Jia Xu, Chunyang Wang, Pei Han, Yoshinori Ebihara, Kayoko Tamaki, Yaling Yu, Masato Tani, Jun Takeshita and Yachao Jia and has published in prestigious journals such as Journal of Bone and Joint Surgery, Frontiers in Immunology and Calcified Tissue International.

In The Last Decade

Gen Wen

29 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Gen Wen 125 114 105 42 38 32 347
Bin Liang 55 0.4× 73 0.6× 114 1.1× 57 1.4× 17 0.4× 18 347
Jihang Dai 122 1.0× 50 0.4× 115 1.1× 24 0.6× 77 2.0× 40 376
Yonghong Jiang 117 0.9× 71 0.6× 134 1.3× 56 1.3× 91 2.4× 32 348
Yue Liu 171 1.4× 41 0.4× 100 1.0× 58 1.4× 28 0.7× 56 365
Zhe Zhu 103 0.8× 51 0.4× 49 0.5× 25 0.6× 51 1.3× 35 342
Alicia Aliena‐Valero 69 0.6× 52 0.5× 87 0.8× 19 0.5× 32 0.8× 23 356
Jijie Hu 67 0.5× 55 0.5× 143 1.4× 29 0.7× 14 0.4× 29 334
Ke Jiang 98 0.8× 34 0.3× 73 0.7× 47 1.1× 60 1.6× 23 322
Katharina Sommer 102 0.8× 30 0.3× 159 1.5× 33 0.8× 29 0.8× 28 401
Yaoping Wu 108 0.9× 43 0.4× 94 0.9× 38 0.9× 18 0.5× 25 357

Countries citing papers authored by Gen Wen

Since Specialization
Citations

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

Fields of papers citing papers by Gen Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Wen

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026