Ji Bao
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Hepatology top 5%
- Liver physiology and pathology
Papers in
- Surgery 31
- Tissue Engineering and Regenerative Medicine 25
- Organ Transplantation Techniques and Outcomes 5
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- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 7
- Co-authors
- Shenglin Zhao (2 shared papers)Fang Wang (1 shared paper)B. Liu (1 shared paper)Tingting Zhou (1 shared paper)Zhihong Shi (1 shared paper)Hong Bu (37 shared papers)Yi Li (26 shared papers)Qiong Wu (16 shared papers)
- Journals
- Cell Proliferation (7 papers)Xenotransplantation (6 papers)ACS Omega (3 papers)International Journal of Molecular Medicine (2 papers)Nephrology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ji Bao
85 papers receiving 3.4k citations
Ji Bao's Hit Papers
Peers
Comparison fields: 5 of 128
- Biomaterials 521
- Hepatology 246
- Genetics 254
- Physiology 117
- Epidemiology 740
Countries citing papers authored by Ji Bao
This map shows the geographic impact of Ji Bao'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 Ji Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Bao more than expected).
Fields of papers citing papers by Ji Bao
This network shows the impact of papers produced by Ji Bao. 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 Ji Bao. The network helps show where Ji Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Bao, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Programmed cell death pathways in cancer: a review of apoptosis, autophagy and programmed necrosis Hit paper breakdown → | 2012 | 1153 |
| 2 | Microautophagy: lesser-known self-eating Hit paper breakdown → | 2011 | 556 |
| 3 | 2017 | 217 | |
| 4 | 2010 | 108 | |
| 5 | 2014 | 105 | |
| 6 | 2016 | 86 | |
| 7 | 2015 | 81 | |
| 8 | 2015 | 63 | |
| 9 | 2015 | 56 | |
| 10 | 2008 | 47 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 40 | |
| 13 | 2013 | 36 | |
| 14 | 2023 | 35 | |
| 15 | 2018 | 35 | |
| 16 | 2020 | 34 | |
| 17 | 2019 | 34 | |
| 18 | 2011 | 34 | |
| 19 | 2016 | 29 | |
| 20 | 2018 | 28 |
About Ji Bao
Ji Bao is a scholar working on Surgery, Molecular Biology, Biomaterials, Hepatology and Biomedical Engineering, having authored 90 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (25 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Liver physiology and pathology (13 papers), CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (7 papers), 3D Printing in Biomedical Research (7 papers), Bone Tissue Engineering Materials (6 papers) and Organ Transplantation Techniques and Outcomes (5 papers). The work is most often cited by research in Biomaterials (521 citations), Hepatology (246 citations), Genetics (254 citations), Physiology (117 citations) and Epidemiology (740 citations). Ji Bao has collaborated with scholars based in China, United States and France. Frequent co-authors include Shenglin Zhao, Fang Wang, B. Liu, Tingting Zhou, Zhihong Shi, Hong Bu, Yi Li, Qiong Wu, Yujun Shi and Yujia Wang. Their work appears in journals such as Cell Proliferation, Xenotransplantation, ACS Omega, International Journal of Molecular Medicine and Nephrology.
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.