Xiaobin Bai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Circular RNAs in diseases 3
- DNA Repair Mechanisms 3
- Genetics 13
- Glioma Diagnosis and Treatment 13
- Co-authors
- Maode Wang (14 shared papers)Wanfu Xie (16 shared papers)Jia Wang (7 shared papers)Hao Liu (2 shared papers)Gaofeng Xu (7 shared papers)Yong‐Xiao Cao (1 shared paper)Alafate Wahafu (7 shared papers)Wei Wu (8 shared papers)
- Journals
- Journal of Pharmacy and Pharmacology (2 papers)Journal of Molecular Neuroscience (2 papers)Oncology Reports (1 paper)Cell Death and Disease (1 paper)Tumor Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaobin Bai
23 papers receiving 421 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 182
- Genetics 86
- Biochemistry 58
- Molecular Biology 240
- Oncology 78
Countries citing papers authored by Xiaobin Bai
This map shows the geographic impact of Xiaobin Bai'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 Xiaobin Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Bai more than expected).
Fields of papers citing papers by Xiaobin Bai
This network shows the impact of papers produced by Xiaobin Bai. 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 Xiaobin Bai. The network helps show where Xiaobin Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Bai, 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 | 2009 | 55 | |
| 2 | 2020 | 50 | |
| 3 | 2020 | 33 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 28 | |
| 6 | 2018 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2011 | 16 | |
| 13 | 2013 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2014 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2022 | 7 | |
| 19 | [Characterization of glycolytic phenotype of SHG44 human glioma cells under hypoxic conditions and its association with cell proliferation and apoptosis]. | 2013 | 5 |
| 20 | 2024 | 3 |
About Xiaobin Bai
Xiaobin Bai is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 25 papers that have together received 424 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Microtubule and mitosis dynamics (4 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), interferon and immune responses (3 papers), DNA Repair Mechanisms (3 papers), Sulfur Compounds in Biology (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Cancer Research (182 citations), Genetics (86 citations), Biochemistry (58 citations), Molecular Biology (240 citations) and Oncology (78 citations). Xiaobin Bai has collaborated with scholars based in China and United States. Frequent co-authors include Maode Wang, Wanfu Xie, Jia Wang, Hao Liu, Gaofeng Xu, Yong‐Xiao Cao, Alafate Wahafu, Wei Wu, Jianyang Xiang and Maode Wang. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Molecular Neuroscience, Oncology Reports, Cell Death and Disease and Tumor Biology.
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.