Di Jiang
Impact in
Papers in
- Co-authors
- Srikala S. Sridhar (29 shared papers)Nimira Alimohamed (7 shared papers)Bin Wu (3 shared papers)Wei Zhang (2 shared papers)Peter Chung (11 shared papers)Yi Lu (3 shared papers)Scott North (6 shared papers)Normand Blais (4 shared papers)
- Journals
- Journal of Clinical Oncology (20 papers)Annals of Oncology (4 papers)Clinical Genitourinary Cancer (4 papers)Science (4 papers)Clinical Colorectal Cancer (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Di Jiang
102 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 118
- Oncology 240
- Surgery 317
- Cancer Research 72
- Pulmonary and Respiratory Medicine 143
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Di Jiang
This map shows the geographic impact of Di 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 Di Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Jiang more than expected).
Fields of papers citing papers by Di Jiang
This network shows the impact of papers produced by Di 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 Di Jiang. The network helps show where Di Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Di 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 93 | |
| 2 | 2013 | 71 | |
| 3 | 2022 | 62 | |
| 4 | 2015 | 53 | |
| 5 | 2017 | 42 | |
| 6 | 2020 | 40 | |
| 7 | 2019 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 23 | |
| 11 | 2015 | 23 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2016 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2021 | 18 |
About Di Jiang
Di Jiang is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 117 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (16 papers), Bladder and Urothelial Cancer Treatments (15 papers), Testicular diseases and treatments (10 papers), Colorectal Cancer Surgical Treatments (9 papers), Colorectal Cancer Treatments and Studies (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Urinary and Genital Oncology Studies (6 papers) and Colorectal and Anal Carcinomas (5 papers). The work is most often cited by research in Oncology (240 citations), Surgery (317 citations), Cancer Research (72 citations), Pulmonary and Respiratory Medicine (143 citations) and Computer Vision and Pattern Recognition (86 citations). Di Jiang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Srikala S. Sridhar, Nimira Alimohamed, Bin Wu, Wei Zhang, Peter Chung, Yi Lu, Scott North, Normand Blais, Alejandro Meraz-Muñoz and Shilpa Gupta. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Genitourinary Cancer, Science and Clinical Colorectal Cancer.
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.