Yankai Wen

40 total papers · 2.0k total citations
32 papers, 1.4k citations indexed

About

Yankai Wen is a scholar working on Hepatology, Epidemiology and Immunology. According to data from OpenAlex, Yankai Wen has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hepatology, 11 papers in Epidemiology and 11 papers in Immunology. Recurrent topics in Yankai Wen's work include Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (8 papers) and Immune Cell Function and Interaction (5 papers). Yankai Wen is often cited by papers focused on Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (8 papers) and Immune Cell Function and Interaction (5 papers). Yankai Wen collaborates with scholars based in China, United States and Japan. Yankai Wen's co-authors include Cynthia Ju, Frank Tacke, Joeri Lambrecht, Xiaoni Kong, Qiang Xia, Qiang Xia, Seogsong Jeong, Hailong Wu, Chang Yu and Wei‐Qiang Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Gut.

In The Last Decade

Yankai Wen

31 papers receiving 1.4k citations

Hit Papers

Hepatic macrophages in li... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yankai Wen 519 387 373 303 214 32 1.4k
Jana C. Mossanen 659 1.3× 552 1.4× 304 0.8× 441 1.5× 183 0.9× 22 1.5k
Carol A. Simmons 280 0.5× 257 0.7× 394 1.1× 299 1.0× 223 1.0× 23 1.3k
Xiaodong Ge 628 1.2× 428 1.1× 416 1.1× 156 0.5× 211 1.0× 39 1.5k
Ariel E. Feldstein 952 1.8× 539 1.4× 667 1.8× 271 0.9× 235 1.1× 23 1.7k
Tobias Puengel 1.0k 2.0× 632 1.6× 389 1.0× 342 1.1× 266 1.2× 28 1.6k
Thuy‐Anh Tran‐Thi 280 0.5× 381 1.0× 583 1.6× 298 1.0× 258 1.2× 32 1.5k
Anna Moles 474 0.9× 337 0.9× 485 1.3× 164 0.5× 165 0.8× 29 1.3k
María Eugenia Inzaugarat 878 1.7× 385 1.0× 624 1.7× 244 0.8× 171 0.8× 19 1.5k
Sanae Haga 495 1.0× 430 1.1× 646 1.7× 291 1.0× 371 1.7× 42 1.6k
So Yeon Kim 559 1.1× 279 0.7× 635 1.7× 302 1.0× 178 0.8× 34 1.5k

Countries citing papers authored by Yankai Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yankai Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yankai Wen

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