Jiangbo Wan
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
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- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 5
- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 2
- Cell death mechanisms and regulation 2
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- Immunotherapy and Immune Responses 5
- Co-authors
- Siguo Hao (8 shared papers)Fang Huang (7 shared papers)Weiwei Hu (1 shared paper)Qian Cai (2 shared papers)Yi Liu (1 shared paper)Liyuan Ma (3 shared papers)Linjun Chen (2 shared papers)Xiaohui Deng (2 shared papers)
In The Last Decade
Jiangbo Wan
21 papers receiving 421 citations
Peers
Comparison fields: 5 of 66
- Rehabilitation 43
- Cancer Research 96
- Genetics 62
- Immunology 123
- Physiology 23
Countries citing papers authored by Jiangbo Wan
This map shows the geographic impact of Jiangbo Wan'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 Jiangbo Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangbo Wan more than expected).
Fields of papers citing papers by Jiangbo Wan
This network shows the impact of papers produced by Jiangbo Wan. 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 Jiangbo Wan. The network helps show where Jiangbo Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangbo Wan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2013 | 57 | |
| 3 | 2017 | 51 | |
| 4 | 2020 | 49 | |
| 5 | 2021 | 33 | |
| 6 | 2019 | 30 | |
| 7 | 2020 | 27 | |
| 8 | 2016 | 23 | |
| 9 | 2021 | 17 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | [Effect of intramuscular bone marrow-derived mesenchymal stem cell transplantation in the leg for treatment of diabetic foot ulcers in rats]. | 2012 | 4 |
| 17 | 2013 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2018 | 2 |
About Jiangbo Wan
Jiangbo Wan is a scholar working on Molecular Biology, Immunology, Hematology, Oncology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 423 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Extracellular vesicles in disease (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Epigenetics and DNA Methylation (2 papers), Acute Myeloid Leukemia Research (2 papers), Adenosine and Purinergic Signaling (2 papers), Protein Degradation and Inhibitors (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Rehabilitation (43 citations), Cancer Research (96 citations), Genetics (62 citations), Immunology (123 citations) and Physiology (23 citations). Jiangbo Wan has collaborated with scholars based in China, Thailand and Canada. Frequent co-authors include Siguo Hao, Fang Huang, Weiwei Hu, Qian Cai, Yi Liu, Liyuan Ma, Linjun Chen, Xiaohui Deng, Бо Лю and Wenhao Zhang. Their work appears in journals such as Cellular Physiology and Biochemistry, Cellular Oncology, Frontiers in Immunology, Biochemical and Biophysical Research Communications and Journal of Hematology & 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.