Xing Bian
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- RNA modifications and cancer
- DNA Repair Mechanisms
- Histone Deacetylase Inhibitors Research
Papers in
-
- Cancer therapeutics and mechanisms 5
- Histone Deacetylase Inhibitors Research 3
- DNA Repair Mechanisms 3
- Oncology 9
- Lung Cancer Research Studies 5
- PARP inhibition in cancer therapy 4
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Wenchu Lin (7 shared papers)Hong Li (3 shared papers)Liying Ma (2 shared papers)Pixu Liu (2 shared papers)Hailing Cheng (2 shared papers)Shanshan Hu (1 shared paper)Yongxiang Li (1 shared paper)Xiaolin Wang (2 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (2 papers)Clinical Epigenetics (1 paper)Frontiers in Oncology (1 paper)Cancers (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xing Bian
12 papers receiving 347 citations
Peers
Comparison fields: 5 of 53
- Cancer Research 134
- Molecular Biology 272
- Oncology 104
- Energy Engineering and Power Technology 11
- Reproductive Medicine 23
Countries citing papers authored by Xing Bian
This map shows the geographic impact of Xing Bian'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 Xing Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Bian more than expected).
Fields of papers citing papers by Xing Bian
This network shows the impact of papers produced by Xing Bian. 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 Xing Bian. The network helps show where Xing Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2016 | 72 | |
| 3 | 2021 | 34 | |
| 4 | 2019 | 32 | |
| 5 | 2018 | 31 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2020 | 5 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 |
About Xing Bian
Xing Bian is a scholar working on Molecular Biology, Oncology, Immunology, Aerospace Engineering and Reproductive Medicine, having authored 12 papers that have together received 350 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), Lung Cancer Research Studies (5 papers), PARP inhibition in cancer therapy (4 papers), Histone Deacetylase Inhibitors Research (3 papers), DNA Repair Mechanisms (3 papers), MicroRNA in disease regulation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Radio Frequency Integrated Circuit Design (1 paper). The work is most often cited by research in Cancer Research (134 citations), Molecular Biology (272 citations), Oncology (104 citations), Energy Engineering and Power Technology (11 citations) and Reproductive Medicine (23 citations). Xing Bian has collaborated with scholars based in China and United States. Frequent co-authors include Wenchu Lin, Hong Li, Liying Ma, Pixu Liu, Hailing Cheng, Shanshan Hu, Yongxiang Li, Xiaolin Wang, Cheng Wu and Tianyi Yu. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Clinical Epigenetics, Frontiers in Oncology, Cancers and Cell Death and Disease.
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.