Xiaojing Ye

2.7k citations
48 papers · 1.9k · 1 hit paper · h-index 20

Impact in

Papers in

Xiaojing Ye

46 papers receiving 1.9k citations

Xiaojing Ye's Hit Papers

The integrins 2007 · 957 citations
9570+6+12Years since publication250500750

Peers

Xiaojing Ye
Comparison fields: 5 of 115
  • Immunology and Allergy 451
  • Cellular and Molecular Neuroscience 376
  • Neurology 132
  • Cell Biology 241
  • Developmental Neuroscience 57
Replace Marcela V. Karpuj with:
Marcela V. Karpuj United States
Carol Peebles United States
Isabel Lorenzo United States
Osamu Miyaishi Japan
Fabrizio Mainiero Italy
A. Sue Menko United States
Hiroshi Ohnishi Japan
Miki Tanaka Japan
Chang Y. Chung United States
S M Hsu United States
Xiaojing Ye relative to Marcela V. Karpuj United States Marcela V. Karpuj's profile →
Citations per field
00.5×3.5×
Marcela V. Karpuj · 1×
Citations per year

Countries citing papers authored by Xiaojing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The integrins
Hit paper breakdown →
2007957
2 201699
3 201092
4 202189
5 200578
6 201353
7 201841
8 201735
9 201731
10 200631
11 201529
12 202229
13 200928
14 201328
15 201527
16 201125
17 200823
18 201623
19 200921
20 202120

About Xiaojing Ye

Xiaojing Ye is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Surgery, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Memory and Neural Mechanisms (5 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Neurobiology and Insect Physiology Research (3 papers), Oral Health Pathology and Treatment (3 papers), Photoreceptor and optogenetics research (3 papers) and Synthesis and Catalytic Reactions (2 papers). The work is most often cited by research in Immunology and Allergy (451 citations), Cellular and Molecular Neuroscience (376 citations), Neurology (132 citations), Cell Biology (241 citations) and Developmental Neuroscience (57 citations). Xiaojing Ye has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yoshikazu Takada, Scott I. Simon, Thomas Carew, Cristina M. Alberini, Gang Zhou, Alessio Travaglia, Wei‐Jye Lin, Jing Zhang, Rui Lü and Gary T. Philips. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, Acta Neuropathologica Communications, Nature Communications and Neuron.

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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