Xiaotao Chen

16 papers receiving 1.2k citations

Hit Papers

A G Protein-Biased Ligand at the μ-Opioid Receptor Is Pot...20132026201720212013100200300400500

Peers

Xiaotao Chen
Comparison fields: 5 of 101
  • Molecular Biology 835
  • Cellular and Molecular Neuroscience 519
  • Organic Chemistry 290
  • Renewable Energy, Sustainability and the Environment 139
  • Physiology 125
Replace Carlo Farina with:
Carlo Farina Italy
Serge Turcaud France
Stefania Gagliardi Italy
Andrea Aramini Italy
Norio Yasui Japan
Hailong An China
Daniel G. Marquess United States
Takahiro Ueno Japan
Vikas Tyagi India
Shu Jie Li China
Xiaotao Chen relative to Carlo Farina Italy Carlo Farina's profile →
Citations per field
00.5×6.6×
Carlo Farina · 1×
Citations per year

Countries citing papers authored by Xiaotao Chen

Since Specialization
Citations

This map shows the geographic impact of Xiaotao 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 Xiaotao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotao Chen more than expected).

Fields of papers citing papers by Xiaotao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaotao 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 Xiaotao Chen. The network helps show where Xiaotao Chen may publish in the future.

Co-authorship network of co-authors of Xiaotao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotao Chen. A scholar is included among the top collaborators of Xiaotao Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaotao Chen. Xiaotao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 12
3 12
4 137
5 10
6 9
7 7
8 31
9
Cytokine levels in plasma and gingival crevicular fluid in chronic periodontitis.
23
10
[Effectiveness of tranexamic acid in total knee arthroplasty].
2
11
A G Protein-Biased Ligand at the μ-Opioid Receptor Is Potently Analgesic with Reduced Gastrointestinal and Respiratory Dysfunction Compared with Morphinebreakdown →
502
12 172
13 0
14 23
15 25
16 95
17 174

About Xiaotao Chen

Xiaotao Chen is a scholar working on Developmental Neuroscience, Ophthalmology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (519 citations), Molecular Biology (835 citations) and Anesthesiology and Pain Medicine (62 citations). Xiaotao Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Scott M. DeWire, Michael Koblish, Dennis S. Yamashita, Jonathan D. Violin, Philip Pitis, David H. Rominger, Conrad L. Cowan, Catherine Yuan, Dimitar B. Gotchev and Jacob B. Schwarz. Their work appears in journals such as Journal of the American Chemical Society, Applied Catalysis B: Environmental and Scientific Reports.

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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