Can Jiang
Impact in
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- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
Papers in
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- Pluripotent Stem Cells Research 2
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- Cancer Genomics and Diagnostics 2
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Dalong Zhu (6 shared papers)Wenhuan Feng (6 shared papers)Yan Bi (6 shared papers)Xitai Sun (4 shared papers)Hongdong Wang (2 shared papers)Pengzi Zhang (2 shared papers)Wei-meng Zhao (1 shared paper)Paul W. Huber (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (2 papers)Frontiers in Immunology (2 papers)Carbohydrate Polymers (1 paper)American Journal Of Pathology (1 paper)Diabetes Therapy (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Can Jiang
31 papers receiving 659 citations
Peers
Comparison fields: 5 of 81
- Immunology 135
- Endocrinology, Diabetes and Metabolism 84
- Oncology 121
- Epidemiology 97
- Molecular Biology 207
Countries citing papers authored by Can Jiang
This map shows the geographic impact of Can 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 Can Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Jiang more than expected).
Fields of papers citing papers by Can Jiang
This network shows the impact of papers produced by Can 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 Can Jiang. The network helps show where Can Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2018 | 99 | |
| 3 | 2019 | 81 | |
| 4 | 2001 | 80 | |
| 5 | 2002 | 60 | |
| 6 | 2021 | 31 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2008 | 16 | |
| 12 | 2024 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2025 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 5 |
About Can Jiang
Can Jiang is a scholar working on Molecular Biology, Cancer Research, Oncology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 31 papers that have together received 662 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (2 papers), Diet, Metabolism, and Disease (2 papers), Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Diabetes Treatment and Management (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (135 citations), Endocrinology, Diabetes and Metabolism (84 citations), Oncology (121 citations), Epidemiology (97 citations) and Molecular Biology (207 citations). Can Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dalong Zhu, Wenhuan Feng, Yan Bi, Xitai Sun, Hongdong Wang, Pengzi Zhang, Wei-meng Zhao, Paul W. Huber, Todd T. Kroll and Soumitra Kumar Saha. Their work appears in journals such as International Journal of Biological Macromolecules, Frontiers in Immunology, Carbohydrate Polymers, American Journal Of Pathology and Diabetes Therapy.
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.