Xiaobin Wang
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- Circular RNAs in diseases 3
- Surgery 7
- Co-authors
- Tianhua Niu (2 shared papers)Qingwu Shen (3 shared papers)Ye Chen (3 shared papers)Jun Zhou (3 shared papers)Ming Wang (1 shared paper)Changzhong Chen (1 shared paper)Ke‐Xuan Liu (2 shared papers)Bo Yang (2 shared papers)
- Journals
- Shock (3 papers)The Analyst (2 papers)Stem Cell Research (1 paper)Cell and Tissue Research (1 paper)Systems Biology in Reproductive Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaobin Wang
39 papers receiving 594 citations
Peers
Comparison fields: 5 of 108
- Developmental Neuroscience 63
- Critical Care and Intensive Care Medicine 33
- Cancer Research 70
- Molecular Biology 300
- Electrochemistry 22
Countries citing papers authored by Xiaobin Wang
This map shows the geographic impact of Xiaobin Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Wang more than expected).
Fields of papers citing papers by Xiaobin Wang
This network shows the impact of papers produced by Xiaobin Wang. 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 Wang. The network helps show where Xiaobin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Wang, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 69 | |
| 2 | 2001 | 37 | |
| 3 | 1998 | 37 | |
| 4 | 2009 | 35 | |
| 5 | 2018 | 35 | |
| 6 | 2014 | 33 | |
| 7 | 2017 | 31 | |
| 8 | 2016 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2003 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2013 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2012 | 15 | |
| 18 | 2023 | 15 | |
| 19 | The proteasome inhibitor bortezomib reverses P-glycoprotein-mediated leukemia multi-drug resistance through the NF-kappaB pathway. | 2012 | 13 |
| 20 | 2022 | 12 |
About Xiaobin Wang
Xiaobin Wang is a scholar working on Molecular Biology, Surgery, Physiology, Cancer Research and Biomedical Engineering, having authored 41 papers that have together received 605 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), MicroRNA in disease regulation (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Circular RNAs in diseases (3 papers), Immune Response and Inflammation (3 papers), Electrochemical Analysis and Applications (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Developmental Neuroscience (63 citations), Critical Care and Intensive Care Medicine (33 citations), Cancer Research (70 citations), Molecular Biology (300 citations) and Electrochemistry (22 citations). Xiaobin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tianhua Niu, Qingwu Shen, Ye Chen, Jun Zhou, Ming Wang, Changzhong Chen, Ke‐Xuan Liu, Bo Yang, Xiping Xu and Jiän Zhang. Their work appears in journals such as Shock, The Analyst, Stem Cell Research, Cell and Tissue Research and Systems Biology in Reproductive Medicine.
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.