Xin Ye

2.9k citations
64 papers · 2.4k indexed · 1 hit paper · h-index 24
Topics
Biosensors and Analytical Detection (13 papers)Plant Stress Responses and Tolerance (13 papers)Plant Micronutrient Interactions and Effects (12 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xin Ye

62 papers receiving 2.3k citations

Hit Papers

Phosphorylation-Dependent Ubiquitination of Cyclin E by t...20012026200920172001200400600

Peers

Xin Ye
Comparison fields: 5 of 114
  • Molecular Biology 1.6k
  • Oncology 475
  • Biomedical Engineering 378
  • Plant Science 366
  • Cell Biology 294
Replace Shingo Nishikori with:
Shingo Nishikori Japan
Adam C. Wilkinson United Kingdom
Satyendra Kumar Singh India
Bingwen Lu United States
Fangwei Wang China
Yeon‐Soo Seo South Korea
Afshin Ahmadian Sweden
Philip M. Sass United States
Audrey Brenot United States
Yasuhisa Nogi Japan
Xin Ye relative to Shingo Nishikori Japan Shingo Nishikori's profile →
Citations per field
00.5×2.6×
Shingo Nishikori · 1×
Citations per year

Countries citing papers authored by Xin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Ye. A scholar is included among the top collaborators of Xin Ye 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 Xin Ye. Xin Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 0
4 119
5 23
6 17
7 13
8 22
9 58
10 12
11
Distinct EMT programs control normal mammary stem cells and tumour-initiating cells
1
12 21
13 40
14 41
15 29
16 9
17 22
18 7
19 8
20 130

About Xin Ye

Xin Ye is a scholar working on Molecular Biology, Plant Science and Infectious Diseases, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (13 papers), Plant Stress Responses and Tolerance (13 papers) and Plant Micronutrient Interactions and Effects (12 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cell Biology (294 citations) and Oncology (475 citations). Xin Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include J. Wade Harper, Stephen J. Elledge, Jilie Kong, Deanna M. Koepp, Khandan Keyomarsi, Laura Schaefer, Claire Chu, Xueen Fang, Li‐Song Chen and Lin-Tong Yang. Their work appears in journals such as Science, Journal of Biological Chemistry and PLoS ONE.

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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