Wei Wen
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine top 10%
- Co-authors
- Thanh H. DellingerMarsha A. MosesDmitri WiederschainJack L. ArbiserErnest HanChee‐Onn LeongJohn H. YimRichard Jove
- Topics
- Cancer Genomics and Diagnostics (9 papers)Cancer Mechanisms and Therapy (8 papers)Cytokine Signaling Pathways and Interactions (7 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wei Wen
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 991
- Oncology 551
- Cancer Research 469
- Pulmonary and Respiratory Medicine 193
- Pathology and Forensic Medicine 179
Countries citing papers authored by Wei Wen
This map shows the geographic impact of Wei 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 Wei Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wen more than expected).
Fields of papers citing papers by Wei Wen
This network shows the impact of papers produced by Wei 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 Wei Wen. The network helps show where Wei Wen may publish in the future.
Co-authorship network of co-authors of Wei Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wen. A scholar is included among the top collaborators of Wei 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 Wei Wen. Wei Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 34 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 77 | |
| 8 | 9 | |
| 9 | 16 | |
| 10 | Learning Intrinsic Sparse Structures within Long Short-Term Memory | 14 |
| 11 | Faster CNNs with Direct Sparse Convolutions and Guided Pruning | 18 |
| 12 | Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size | 11 |
| 13 | 67 | |
| 14 | 1 | |
| 15 | 16 | |
| 16 | 26 | |
| 17 | 69 | |
| 18 | 51 | |
| 19 | 90 | |
| 20 | The Src family kinase inhibitor, dasatinib, inhibits angiogenesis in vitro and in vivo | 3 |
About Wei Wen
Wei Wen is a scholar working on Cancer Research, Oncology and Reproductive Medicine, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Cancer Mechanisms and Therapy (8 papers) and Cytokine Signaling Pathways and Interactions (7 papers). The work is most often cited by research in Cancer Research (469 citations), Oncology (551 citations) and Molecular Biology (991 citations). Wei Wen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Thanh H. Dellinger, Marsha A. Moses, Dmitri Wiederschain, Jack L. Arbiser, Ernest Han, Chee‐Onn Leong, John H. Yim, Richard Jove, Yiran Chen and Carlotta A. Glackin. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology 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.