Jiang Zhu
- Molecular Biology top 10%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Surgery
- Co-authors
- Kenneth J. BarrDaniel A. ErlansonMin ZhongChristian WiesmannMike RandalStig K. HansenRobert S. McDowellLisa J. Taylor
- Topics
- Lung Cancer Treatments and Mutations (16 papers)Lung Cancer Diagnosis and Treatment (9 papers)Head and Neck Cancer Studies (9 papers)
- Cited by
- ToxicologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jiang Zhu
65 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 708
- Oncology 353
- Pulmonary and Respiratory Medicine 344
- Immunology 263
- Surgery 213
Countries citing papers authored by Jiang Zhu
This map shows the geographic impact of Jiang Zhu'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 Jiang Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Zhu more than expected).
Fields of papers citing papers by Jiang Zhu
This network shows the impact of papers produced by Jiang Zhu. 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 Jiang Zhu. The network helps show where Jiang Zhu may publish in the future.
Co-authorship network of co-authors of Jiang Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Zhu. A scholar is included among the top collaborators of Jiang Zhu 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 Jiang Zhu. Jiang Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The protein circPETH-147aa regulates metabolic reprogramming in hepatocellular carcinoma cells to remodel immunosuppressive microenvironmentbreakdown → | 24 |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 31 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 45 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | 49 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 439 |
About Jiang Zhu
Jiang Zhu is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Oncology, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Head and Neck Cancer Studies (9 papers). The work is most often cited by research in Toxicology (87 citations), Oncology (353 citations) and Cancer Research (188 citations). Jiang Zhu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kenneth J. Barr, Daniel A. Erlanson, Min Zhong, Christian Wiesmann, Mike Randal, Stig K. Hansen, Robert S. McDowell, Lisa J. Taylor, Shen Wang and Mei Hou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.