Xingbin Ai
Impact in
- Cell Biology top 1%
- Proteoglycans and glycosaminoglycans research
- Developmental Neuroscience top 5%
Papers in
-
- Neonatal Respiratory Health Research 26
- Tracheal and airway disorders 5
- Co-authors
- Charles P. Emerson (10 shared papers)Marion Kusche‐Gullberg (4 shared papers)Anh-Tri Do (4 shared papers)Ke Lu (2 shared papers)Ulf Lindahl (2 shared papers)Natalia A. Riobo‐Del Galdo (1 shared paper)David M. Standiford (1 shared paper)Gurtej K. Dhoot (1 shared paper)
- Journals
- American Journal of Respiratory Cell and Molecular Biology (10 papers)Journal of Biological Chemistry (5 papers)Journal of Neuroscience (4 papers)The FASEB Journal (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Xingbin Ai
68 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 114
- Cell Biology 1.0k
- Developmental Neuroscience 112
- Molecular Biology 1.8k
- Pulmonary and Respiratory Medicine 510
- Cancer Research 236
Countries citing papers authored by Xingbin Ai
This map shows the geographic impact of Xingbin Ai'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 Xingbin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingbin Ai more than expected).
Fields of papers citing papers by Xingbin Ai
This network shows the impact of papers produced by Xingbin Ai. 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 Xingbin Ai. The network helps show where Xingbin Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingbin Ai, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 387 | |
| 2 | 2006 | 381 | |
| 3 | 2003 | 356 | |
| 4 | 2004 | 159 | |
| 5 | 2007 | 142 | |
| 6 | 2005 | 127 | |
| 7 | 2006 | 102 | |
| 8 | 2015 | 85 | |
| 9 | 2013 | 79 | |
| 10 | 1997 | 72 | |
| 11 | 2011 | 72 | |
| 12 | 1999 | 63 | |
| 13 | 2019 | 59 | |
| 14 | 2017 | 59 | |
| 15 | 2007 | 57 | |
| 16 | 2011 | 57 | |
| 17 | 2015 | 52 | |
| 18 | 2018 | 51 | |
| 19 | 2019 | 47 | |
| 20 | 2014 | 46 |
About Xingbin Ai
Xingbin Ai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Physiology and Immunology, having authored 70 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (26 papers), Congenital Diaphragmatic Hernia Studies (14 papers), Asthma and respiratory diseases (10 papers), Proteoglycans and glycosaminoglycans research (7 papers), Connective tissue disorders research (6 papers), Neuropeptides and Animal Physiology (6 papers), Nerve injury and regeneration (5 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Cell Biology (1.0k citations), Developmental Neuroscience (112 citations), Molecular Biology (1.8k citations), Pulmonary and Respiratory Medicine (510 citations) and Cancer Research (236 citations). Xingbin Ai has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Charles P. Emerson, Marion Kusche‐Gullberg, Anh-Tri Do, Ke Lu, Ulf Lindahl, Natalia A. Riobo‐Del Galdo, David M. Standiford, Gurtej K. Dhoot, Weitao Sun and Alan Fine. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Journal of Biological Chemistry, Journal of Neuroscience, The FASEB Journal and Proceedings of the National Academy of Sciences.
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.