Yu Jiang
Impact in
- Health Informatics top 5%
- Oncology top 5%
- Cancer survivorship and care
- Viral-associated cancers and disorders
Papers in
-
- RNA Interference and Gene Delivery 6
- Angiogenesis and VEGF in Cancer 6
- Oncology 32
- Lung Cancer Research Studies 7
- Cancer survivorship and care 5
- Co-authors
- Liqun Zou (11 shared papers)Yaotiao Deng (18 shared papers)Feng Luo (5 shared papers)Ming Jiang (7 shared papers)Wuning Zhong (3 shared papers)Xuelei Ma (3 shared papers)Meijuan Huang (4 shared papers)Feng Peng (5 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Blood (5 papers)Journal of Cancer Research and Clinical Oncology (5 papers)Psycho-Oncology (4 papers)Annals of Oncology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Jiang
116 papers receiving 2.5k citations
Yu Jiang's Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 42
- Oncology 785
- Pathology and Forensic Medicine 378
- Hematology 202
- Immunology 283
Countries citing papers authored by Yu Jiang
This map shows the geographic impact of Yu Jiang'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 Yu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jiang more than expected).
Fields of papers citing papers by Yu Jiang
This network shows the impact of papers produced by Yu Jiang. 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 Yu Jiang. The network helps show where Yu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Jiang, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 166 | |
| 2 | 2014 | 149 | |
| 3 | 2007 | 115 | |
| 4 | Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study Hit paper breakdown → | 2022 | 112 |
| 5 | 2007 | 104 | |
| 6 | 2011 | 103 | |
| 7 | 2003 | 93 | |
| 8 | 2009 | 81 | |
| 9 | 2002 | 71 | |
| 10 | 2003 | 67 | |
| 11 | 2020 | 62 | |
| 12 | 2005 | 59 | |
| 13 | 2006 | 54 | |
| 14 | 2018 | 53 | |
| 15 | 2020 | 52 | |
| 16 | 2019 | 51 | |
| 17 | 2018 | 51 | |
| 18 | 2014 | 47 | |
| 19 | 2006 | 44 | |
| 20 | 2015 | 43 |
About Yu Jiang
Yu Jiang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cancer Research, having authored 122 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Immunotherapy and Immune Responses (7 papers), Lung Cancer Research Studies (7 papers), RNA Interference and Gene Delivery (6 papers), Colorectal and Anal Carcinomas (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Cancer survivorship and care (5 papers). The work is most often cited by research in Health Informatics (42 citations), Oncology (785 citations), Pathology and Forensic Medicine (378 citations), Hematology (202 citations) and Immunology (283 citations). Yu Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liqun Zou, Yaotiao Deng, Feng Luo, Ming Jiang, Wuning Zhong, Xuelei Ma, Meijuan Huang, Feng Peng, Weiping Liu and Chunhua Yu. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Cancer Research and Clinical Oncology, Psycho-Oncology and Annals of 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.