Huaibin Chen
Impact in
-
- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Fibroblast Growth Factor Research 10
- Protein Kinase Regulation and GTPase Signaling 5
- Protein Tyrosine Phosphatases 4
- Epigenetics and DNA Methylation 2
- Kruppel-like factors research 2
- Co-authors
- Moosa Mohammadi (12 shared papers)Thomas A. Neubert (8 shared papers)Jinghong Ma (5 shared papers)Anna V. Eliseenkova (3 shared papers)Wanqing Li (2 shared papers)Chong‐Feng Xu (2 shared papers)Steven P. Blais (5 shared papers)W. Todd Miller (1 shared paper)
- Journals
- Molecular Cell (2 papers)Bioconjugate Chemistry (1 paper)eLife (1 paper)Cell Reports (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Huaibin Chen
14 papers receiving 756 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 620
- Cell Biology 110
- Reproductive Medicine 52
- Cancer Research 70
- Oncology 84
Countries citing papers authored by Huaibin Chen
This map shows the geographic impact of Huaibin Chen'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 Huaibin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaibin Chen more than expected).
Fields of papers citing papers by Huaibin Chen
This network shows the impact of papers produced by Huaibin Chen. 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 Huaibin Chen. The network helps show where Huaibin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Huaibin Chen, 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 | 2007 | 204 | |
| 2 | 2013 | 109 | |
| 3 | 2009 | 102 | |
| 4 | 2009 | 74 | |
| 5 | 2008 | 54 | |
| 6 | 2015 | 42 | |
| 7 | 2017 | 40 | |
| 8 | 2013 | 39 | |
| 9 | 2020 | 36 | |
| 10 | 2012 | 34 | |
| 11 | 2013 | 31 | |
| 12 | 2009 | 2 | |
| 13 | 2011 | 1 | |
| 14 | Characterization of growth defects in piezoelectric single crystals by synchrotron white beam X-ray topography | 2005 | 1 |
About Huaibin Chen
Huaibin Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Epidemiology, having authored 14 papers that have together received 769 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protein Tyrosine Phosphatases (4 papers), Epigenetics and DNA Methylation (2 papers), Kruppel-like factors research (2 papers), Hypothalamic control of reproductive hormones (1 paper), Cancer Genomics and Diagnostics (1 paper) and Solidification and crystal growth phenomena (1 paper). The work is most often cited by research in Molecular Biology (620 citations), Cell Biology (110 citations), Reproductive Medicine (52 citations), Cancer Research (70 citations) and Oncology (84 citations). Huaibin Chen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Moosa Mohammadi, Thomas A. Neubert, Jinghong Ma, Anna V. Eliseenkova, Wanqing Li, Chong‐Feng Xu, Steven P. Blais, W. Todd Miller, Pamela M. Pollock and Zhifeng Huang. Their work appears in journals such as Molecular Cell, Bioconjugate Chemistry, eLife, Cell Reports and Nature Chemical 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.