Ji Wen

76 total papers · 4.3k total citations
28 papers, 624 citations indexed

About

Ji Wen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ji Wen has authored 28 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Ji Wen's work include RNA modifications and cancer (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Cancer Genomics and Diagnostics (4 papers). Ji Wen is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Cancer Genomics and Diagnostics (4 papers). Ji Wen collaborates with scholars based in United States, China and Japan. Ji Wen's co-authors include Xiaodong Cai, Xiaohong Cao, Shobha Potluri, Euphemia Mutasa-Gottgens, Wenjing Yang, Melissa G. Mendez, Edgardo A. Ferrán, Wenqian He, Yong Wang and Mugdha Khaladkar and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Ji Wen

25 papers receiving 614 citations

Hit Papers

Applications of single-ce... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Ji Wen 351 180 154 150 79 28 624
Jianhua Chen 372 1.1× 130 0.7× 114 0.7× 81 0.5× 53 0.7× 32 622
Malcolm A. King 468 1.3× 148 0.8× 147 1.0× 90 0.6× 29 0.4× 21 755
James Monkman 288 0.8× 354 2.0× 177 1.1× 205 1.4× 106 1.3× 40 753
Yann Estornes 443 1.3× 164 0.9× 102 0.7× 363 2.4× 44 0.6× 18 790
M Feldman 239 0.7× 243 1.4× 121 0.8× 279 1.9× 50 0.6× 43 760
Krista M. Vincent 463 1.3× 204 1.1× 151 1.0× 80 0.5× 77 1.0× 28 724
J. Watson 302 0.9× 119 0.7× 91 0.6× 80 0.5× 52 0.7× 20 567
Valentina K. Todorova 226 0.6× 142 0.8× 147 1.0× 50 0.3× 65 0.8× 30 627
Wayne Miles 569 1.6× 150 0.8× 186 1.2× 86 0.6× 51 0.6× 33 752
Prerna Malaney 489 1.4× 156 0.9× 114 0.7× 69 0.5× 41 0.5× 18 713

Countries citing papers authored by Ji Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ji Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Wen

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