Xingbin Ai

4.3k citations
69 papers · 3.2k · h-index 29

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Glycosylation and Glycoproteins Research
    • Hedgehog Signaling Pathway Studies
    • Fibroblast Growth Factor Research
    • Epigenetics and DNA Methylation

Papers in

Xingbin Ai

68 papers receiving 3.2k citations

Peers

Xingbin Ai
Comparison fields: 5 of 114
  • Cell Biology 1.0k
  • Molecular Biology 1.9k
  • Developmental Neuroscience 105
  • Pulmonary and Respiratory Medicine 554
  • Cancer Research 244
Replace Jean Charron with:
Jean Charron Canada
Eek‐hoon Jho South Korea
Maarja Andaloussi Mäe Sweden
Mathias Mericskay France
Yoshinobu Sugitani Japan
Jennifer Robertson Canada
Laura A. Hansen United States
Tiziana Crepaldi Italy
Li‐Yuan Yu‐Lee United States
Rajan Jain United States
Xingbin Ai relative to Jean Charron Canada Jean Charron's profile →
Citations per field
00.5×2.9×
Jean Charron · 1×
Citations per year

Countries citing papers authored by Xingbin Ai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xingbin Ai Line = papers co-authored together Xingbin Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001383
2 2006380
3 2003354
4 2004157
5 2007138
6 2005124
7 2006101
8 201583
9 201378
10 199772
11 201170
12 199963
13 201759
14 201157
15 201955
16 200755
17 201551
18 201851
19 201445
20 201245

About Xingbin Ai

Xingbin Ai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Physiology and Immunology, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (27 papers), Congenital Diaphragmatic Hernia Studies (14 papers), Asthma and respiratory diseases (11 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), Molecular Biology (1.9k citations), Developmental Neuroscience (105 citations), Pulmonary and Respiratory Medicine (554 citations) and Cancer Research (244 citations). Xingbin Ai has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Charles P. Emerson, Marion Kusche‐Gullberg, Ke Lu, Anh-Tri Do, Ulf Lindahl, Natalia A. Riobo‐Del Galdo, David M. Standiford, Weitao Sun, Gurtej K. Dhoot and Olga Lozynska. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Journal of Biological Chemistry, Journal of Neuroscience, Scientific Reports and Journal of Allergy and Clinical Immunology.

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.

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