Ying Xie

803 citations
34 papers · 465 · h-index 15

Impact in

Papers in

    • Fungal and yeast genetics research 5
    • RNA Research and Splicing 3
    • Chronic Disease Management Strategies 5
    • Influenza Virus Research Studies 2

Ying Xie

33 papers receiving 460 citations

Peers

Ying Xie
Comparison fields: 5 of 93
  • Cell Biology 80
  • Aging 8
  • Epidemiology 110
  • Family Practice 5
  • Molecular Biology 183
Replace Eva Nývltová with:
Eva Nývltová Czechia
María Luisa Peleato Spain
Christopher Watters United States
Ashley Garrill New Zealand
Christina McGuire United States
Stephen V. Angeloni United States
Harald A. Lange Germany
Micol Falabella Italy
Ahmad Galaleldeen United States
Jonathan Paz Montoya Switzerland
Ying Xie relative to Eva Nývltová Czechia Eva Nývltová's profile →
Citations per field
00.5×3.3×
Eva Nývltová · 1×
Citations per year

Countries citing papers authored by Ying Xie

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 202137
3 201934
4 201630
5 202124
6 202021
7 201821
8 202120
9 201819
10 202118
11 202318
12 202417
13 202117
14 201916
15 201916
16 201913
17 202011
18 20179
19 20227
20 20216

About Ying Xie

Ying Xie is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Plant Science and Hepatology, having authored 34 papers that have together received 465 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Cellular Mechanics and Interactions (5 papers), Chronic Disease Management Strategies (5 papers), RNA Research and Splicing (3 papers), Ferroptosis and cancer prognosis (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Influenza Virus Research Studies (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Cell Biology (80 citations), Aging (8 citations), Epidemiology (110 citations), Family Practice (5 citations) and Molecular Biology (183 citations). Ying Xie has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yansong Miao, Eng Sing Lee, Sabrina Lee, Xiao Han, Hongye Li, Dawei Li, Wei‐Dong Yang, Jiesheng Liu, S. Murugan and Jian-Wei Zheng. Their work appears in journals such as Nature Communications, Molecular Cell, PLoS ONE, Neurourology and Urodynamics and BMJ Open.

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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