Liang Wen
- Cancer Research top 10%
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Immunology top 10%
- Immunotherapy and Immune Responses 3
- Molecular Biology top 10%
- Insect Resistance and Genetics 6
- RNA modifications and cancer 3
-
- Pancreatic and Hepatic Oncology Research 3
-
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
-
- Insect-Plant Interactions and Control 3
- Co-authors
- Tingbo LiangWeihua GongDavid A. JohnsonHsien‐Da HuangZhen ChenXueli BaiTzu‐Pin ShentuQiming Sun
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Circulation (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liang Wen
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 231
- Immunology 304
- Molecular Biology 752
- Biological Psychiatry 25
- Oncology 208
Countries citing papers authored by Liang Wen
This map shows the geographic impact of Liang 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 Liang Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Wen more than expected).
Fields of papers citing papers by Liang Wen
This network shows the impact of papers produced by Liang 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 Liang Wen. The network helps show where Liang Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 34 | |
| 7 | 2022 | 60 | |
| 8 | 2022 | 51 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 57 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 7 | |
| 17 | 2015 | 15 | |
| 18 | 2007 | 54 | |
| 19 | 2007 | 11 | |
| 20 | Study of immunoregulatory activity of rhizoma menipermi extracts on mouse and human lymphocytes and macrophages in vitro | 2005 | 2 |
About Liang Wen
Liang Wen is a scholar working on Cancer Research, Immunology and Developmental Neuroscience, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers), Insect-Plant Interactions and Control (3 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (231 citations), Immunology (304 citations) and Molecular Biology (752 citations). Liang Wen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tingbo Liang, Weihua Gong, David A. Johnson, Hsien‐Da Huang, Zhen Chen, Xueli Bai, Tzu‐Pin Shentu, Qiming Sun, Tao Wei and Xiaofeng Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.