Jian Wu
- Molecular Biology top 10%
- Oncology top 5%
- Epidemiology top 10%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Michael R. MatternBenjamin NicholsonJoseph WeinstockJinke WangDanyang WangSuresh KumarWei DaiFeng Wang
- Topics
- Ubiquitin and proteasome pathways (13 papers)Multiple Myeloma Research and Treatments (11 papers)Protein Degradation and Inhibitors (10 papers)
- Cited by
- HepatologyOncologyCancer Research
- Journals
- SHILAP Revista de lepidopterologíaBloodGastroenterology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jian Wu
84 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 956
- Oncology 474
- Epidemiology 393
- Immunology 309
- Cancer Research 255
Countries citing papers authored by Jian Wu
This map shows the geographic impact of Jian Wu'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 Jian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Wu more than expected).
Fields of papers citing papers by Jian Wu
This network shows the impact of papers produced by Jian Wu. 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 Jian Wu. The network helps show where Jian Wu may publish in the future.
Co-authorship network of co-authors of Jian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wu. A scholar is included among the top collaborators of Jian Wu 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 Jian Wu. Jian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 26 | |
| 9 | 42 | |
| 10 | 38 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 91 | |
| 14 | 1 | |
| 15 | 56 | |
| 16 | 20 | |
| 17 | The Diagnostic and Therapeutic Advance of the Postoperative Gastroparesis Syndrome | 1 |
| 18 | [Relationship of IL-6 and IL-8 secretion in epithelial ovarian cancer cell lines with their sensitivity to tamoxifen as well as MAPK, Akt and estrogen receptor phosphorylation]. | 6 |
| 19 | Support vector machine for prediction of horizontal gene transfers in bacteria genomes | 3 |
| 20 | 31 |
About Jian Wu
Jian Wu is a scholar working on Cancer Research, Hematology and Immunology, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Multiple Myeloma Research and Treatments (11 papers) and Protein Degradation and Inhibitors (10 papers). The work is most often cited by research in Hepatology (245 citations), Oncology (474 citations) and Cancer Research (255 citations). Jian Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael R. Mattern, Benjamin Nicholson, Joseph Weinstock, Jinke Wang, Danyang Wang, Suresh Kumar, Wei Dai, Feng Wang, Xinhui Xu and Patrizia Farci. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.
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.