Bai Ji
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 13
- Pancreatic and Hepatic Oncology Research 9
- HER2/EGFR in Cancer Research 3
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- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- Co-authors
- Hongqiao Cai (9 shared papers)Fei Yan (5 shared papers)Yahui Liu (7 shared papers)Meiyu Song (4 shared papers)Kai Liu (1 shared paper)Jianhua Liu (1 shared paper)Lingyu Meng (3 shared papers)Yang Yang (1 shared paper)
- Journals
- International Journal of Medical Sciences (2 papers)Oncology Reports (2 papers)Acta Biomaterialia (2 papers)Frontiers in Oncology (2 papers)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bai Ji
33 papers receiving 635 citations
Peers
Comparison fields: 5 of 72
- Biomaterials 155
- Hepatology 70
- Cancer Research 89
- Oncology 149
- Biomedical Engineering 219
Countries citing papers authored by Bai Ji
This map shows the geographic impact of Bai Ji'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 Bai Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai Ji more than expected).
Fields of papers citing papers by Bai Ji
This network shows the impact of papers produced by Bai Ji. 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 Bai Ji. The network helps show where Bai Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai Ji, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2017 | 78 | |
| 3 | 2019 | 73 | |
| 4 | 2021 | 60 | |
| 5 | 2021 | 59 | |
| 6 | 2019 | 36 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2014 | 26 | |
| 10 | 2014 | 19 | |
| 11 | 2014 | 17 | |
| 12 | 2023 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 5 |
About Bai Ji
Bai Ji is a scholar working on Oncology, Molecular Biology, Hepatology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 37 papers that have together received 643 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), HER2/EGFR in Cancer Research (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Nanoplatforms for cancer theranostics (3 papers), Ferroptosis and cancer prognosis (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biomaterials (155 citations), Hepatology (70 citations), Cancer Research (89 citations), Oncology (149 citations) and Biomedical Engineering (219 citations). Bai Ji has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongqiao Cai, Fei Yan, Yahui Liu, Meiyu Song, Kai Liu, Jianhua Liu, Lingyu Meng, Yang Yang, Songyang Liu and Yahui Liu. Their work appears in journals such as International Journal of Medical Sciences, Oncology Reports, Acta Biomaterialia, Frontiers in Oncology and Archives of Biochemistry and Biophysics.
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.