Ji Wen
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
-
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Xiaodong Cai (6 shared papers)Xiao Chen (1 shared paper)Edgardo A. Ferrán (1 shared paper)Xiaohong Cao (1 shared paper)Mugdha Khaladkar (1 shared paper)Bram Van de Sande (1 shared paper)Jon Hill (1 shared paper)Wendi Bacon (1 shared paper)
- Journals
- Cell Reports (2 papers)The Journal of Biochemistry (2 papers)Nature Communications (1 paper)Journal of Hepatology (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ji Wen
25 papers receiving 682 citations
Ji Wen's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 143
- Immunology 137
- Oncology 160
- Molecular Biology 345
- Biophysics 25
Countries citing papers authored by Ji Wen
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
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-authors
The 25 scholars most cited alongside Ji Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Applications of single-cell RNA sequencing in drug discovery and development Hit paper breakdown → | 2023 | 241 |
| 2 | 2020 | 60 | |
| 3 | 2018 | 60 | |
| 4 | 2020 | 51 | |
| 5 | 1996 | 37 | |
| 6 | 2016 | 33 | |
| 7 | 2021 | 28 | |
| 8 | 2015 | 26 | |
| 9 | 1997 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 1995 | 17 | |
| 12 | 2010 | 15 | |
| 13 | 2012 | 14 | |
| 14 | 2007 | 10 | |
| 15 | 2025 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2009 | 8 | |
| 20 | 2025 | 6 |
About Ji Wen
Ji Wen is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 694 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Diabetes and associated disorders (2 papers), Advanced Breast Cancer Therapies (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (143 citations), Immunology (137 citations), Oncology (160 citations), Molecular Biology (345 citations) and Biophysics (25 citations). Ji Wen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiaodong Cai, Xiao Chen, Edgardo A. Ferrán, Xiaohong Cao, Mugdha Khaladkar, Bram Van de Sande, Jon Hill, Wendi Bacon, Namit Kumar and Jack Pollard. Their work appears in journals such as Cell Reports, The Journal of Biochemistry, Nature Communications, Journal of Hepatology and Journal of Clinical Oncology.
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.