Ye Cui

2.0k citations
71 papers · 1.4k · 1 hit paper · h-index 19

Impact in

Papers in

Ye Cui

65 papers receiving 1.4k citations

Ye Cui's Hit Papers

Structure of MERS-CoV spike receptor-binding domain complexed with human receptor DPP4 2013 · 543 citations
5430+4+8Years since publication100200300400500

Peers

Ye Cui
Comparison fields: 5 of 117
  • Infectious Diseases 531
  • Animal Science and Zoology 240
  • Pulmonary and Respiratory Medicine 205
  • Modeling and Simulation 29
  • Oncology 144
Replace Luca Braga with:
Luca Braga Italy
Andrew Hale United States
Xiaohu Wang China
Xing Cheng China
Caitlin E. Edwards United States
Naomi Sonnek United States
Jeanne M. Sisk United States
Tho D. Pham United States
Soeren Lukassen Germany
Patrick Schreiner United States
Ye Cui relative to Luca Braga Italy Luca Braga's profile →
Citations per field
00.5×10×15×21.7×
Luca Braga · 1×
Citations per year

Countries citing papers authored by Ye Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ye Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structure of MERS-CoV spike receptor-binding domain complexed with human receptor DPP4
Hit paper breakdown →
2013543
2 201580
3 201173
4 201556
5 200745
6 202340
7 202040
8 201838
9 200838
10 201436
11 201436
12 201730
13 201830
14 201828
15 201726
16 201820
17 202020
18 200919
19 202118
20 201415

About Ye Cui

Ye Cui is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Physiology and Immunology, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), IL-33, ST2, and ILC Pathways (6 papers), Pulmonary Hypertension Research and Treatments (6 papers), Neonatal Respiratory Health Research (6 papers), Lymphatic System and Diseases (5 papers), Asthma and respiratory diseases (4 papers), Extracellular vesicles in disease (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Infectious Diseases (531 citations), Animal Science and Zoology (240 citations), Pulmonary and Respiratory Medicine (205 citations), Modeling and Simulation (29 citations) and Oncology (144 citations). Ye Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nianshuang Wang, Xinquan Wang, Lili Fu, Dongli Wang, Liwei Jiang, Senyan Zhang, Linqi Zhang, Dongxing Guo, Xuanling Shi and Xi Liu. Their work appears in journals such as Cellular Immunology, American Journal of Physiology-Cell Physiology, Journal of Craniofacial Surgery, American Journal of Respiratory Cell and Molecular Biology and Journal of Colloid and Interface Science.

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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