Xiaofei Yang

731 citations
22 papers · 537 · h-index 11

Impact in

Papers in

Xiaofei Yang

19 papers receiving 531 citations

Peers

Xiaofei Yang
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 229
  • Cell Biology 135
  • Urology 47
  • Rheumatology 74
  • Developmental Neuroscience 18
Replace Shabnam Ghazi‐Noori with:
Shabnam Ghazi‐Noori United Kingdom
Dusan Matusica Australia
Xavier Miró Spain
Shiho Honma Japan
Yin Wu China
Krisztina Holló Hungary
Emma Humphrey United Kingdom
P Castano Italy
Ichiro Matsuoka Japan
Alice Braga United Kingdom
Xiaofei Yang relative to Shabnam Ghazi‐Noori United Kingdom Shabnam Ghazi‐Noori's profile →
Citations per field
00.5×2.6×
Shabnam Ghazi‐Noori · 1×
Citations per year

Countries citing papers authored by Xiaofei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofei Yang, 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 Xiaofei Yang Line = papers co-authored together Xiaofei Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010142
2 2011123
3 202142
4 201642
5 201340
6 201432
7 201725
8 201321
9 202015
10 201814
11 202313
12 202210
13 20215
14 20195
15 20222
16 20192
17 20222
18 20251
19 20131
20 20250

About Xiaofei Yang

Xiaofei Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 22 papers that have together received 537 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Cellular transport and secretion (6 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Neonatal and fetal brain pathology (3 papers), Pain Mechanisms and Treatments (3 papers), Lipid Membrane Structure and Behavior (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (229 citations), Cell Biology (135 citations), Urology (47 citations), Rheumatology (74 citations) and Developmental Neuroscience (18 citations). Xiaofei Yang has collaborated with scholars based in China and United States. Frequent co-authors include Chen Zhang, Wei Xu, Thomas C. Südhof, Peng Zhou, Taulant Bacaj, Zhiping P. Pang, Demet Araç, Alfred J. Robison, Thomas C. Südhof and Axel T. Brünger. Their work appears in journals such as Frontiers in Pharmacology, Neuron, Protein & Cell, Cellular and Molecular Neurobiology and Journal of Neuroscience.

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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