Xiaolei Ye

2.0k citations
55 papers · 1.6k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Aging top 10%

Papers in

    • RNA Interference and Gene Delivery 3
    • Cell death mechanisms and regulation 3
    • Advanced biosensing and bioanalysis techniques 3

Xiaolei Ye

53 papers receiving 1.5k citations

Peers

Xiaolei Ye
Comparison fields: 5 of 130
  • Cancer Research 246
  • Aging 26
  • Health, Toxicology and Mutagenesis 190
  • Biochemistry 76
  • Molecular Biology 728
Replace Kamaleshwar P. Singh with:
Kamaleshwar P. Singh United States
Xiaoqing He China
Alexandra Barbouti Greece
Luis E. Gómez-Quiroz Mexico
Jingqi Fu China
Ajit Vikram India
Huihui Wang China
Katarzyna Woźniak Poland
Mohammad Hossein Asghari Iran
Chun Pan Taiwan
Xiaolei Ye relative to Kamaleshwar P. Singh United States Kamaleshwar P. Singh's profile →
Citations per field
00.5×1.5×
Kamaleshwar P. Singh · 1×
Citations per year

Countries citing papers authored by Xiaolei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007308
2 201093
3 201185
4 201385
5 200572
6 201161
7 201752
8 201450
9 201540
10 201840
11 201039
12 200939
13 201038
14 201636
15 201334
16 202034
17 201433
18 201831
19 201631
20 201229

About Xiaolei Ye

Xiaolei Ye is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Genetics and Plant Science, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (5 papers), Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers), RNA Interference and Gene Delivery (3 papers), Estrogen and related hormone effects (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cell death mechanisms and regulation (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Cancer Research (246 citations), Aging (26 citations), Health, Toxicology and Mutagenesis (190 citations), Biochemistry (76 citations) and Molecular Biology (728 citations). Xiaolei Ye has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chenjiang Ying, Chong Tian, Yang Xiang, Yi Yu, Hanqing Lin, Ziqi Zhu, Gang Han, Bo Xu, Yuanjun Ma and Charlie Degui Chen. Their work appears in journals such as PLoS ONE, DNA and Cell Biology, Chemosphere, BMC Geriatrics and Biochemical and Biophysical Research Communications.

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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