Zhen‐Yu She

937 citations
33 papers · 668 · h-index 14

Impact in

    • Microtubule and mitosis dynamics
  • Physiology top 10%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Microtubule and mitosis dynamics 25
    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 6
    • Protist diversity and phylogeny 5

Zhen‐Yu She

33 papers receiving 662 citations

Peers

Zhen‐Yu She
Comparison fields: 5 of 83
  • Cell Biology 243
  • Physiology 45
  • Reproductive Medicine 78
  • Genetics 218
  • Molecular Biology 421
Replace Gordon Polevoy with:
Gordon Polevoy Canada
Harma Feitsma Netherlands
Ufuk Günesdogan United Kingdom
Jizhou Yan China
Esther Camp Australia
Shino Hirahara Japan
Laura L. Gillespie Canada
Hyung Chul Lee South Korea
Elliott W. Abrams United States
Patricia Culp United States
Zhen‐Yu She relative to Gordon Polevoy Canada Gordon Polevoy's profile →
Citations per field
00.5×3.9×
Gordon Polevoy · 1×
Citations per year

Countries citing papers authored by Zhen‐Yu She

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐Yu She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Yu She. 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 Zhen‐Yu She. The network helps show where Zhen‐Yu She may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015128
2 201787
3 201676
4 201275
5 201435
6 201827
7 201927
8 201723
9 201721
10 202220
11 201918
12 202017
13 202015
14 202013
15 201712
16 20228
17 20147
18 20197
19 20206
20 20206

About Zhen‐Yu She

Zhen‐Yu She is a scholar working on Cell Biology, Molecular Biology, Genetics, Plant Science and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 668 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (25 papers), Genetic and Kidney Cyst Diseases (6 papers), Genomics and Chromatin Dynamics (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Epigenetics and DNA Methylation (6 papers), Chromosomal and Genetic Variations (6 papers), Protist diversity and phylogeny (5 papers) and Sperm and Testicular Function (5 papers). The work is most often cited by research in Cell Biology (243 citations), Physiology (45 citations), Reproductive Medicine (78 citations), Genetics (218 citations) and Molecular Biology (421 citations). Zhen‐Yu She has collaborated with scholars based in China. Frequent co-authors include Wan‐Xi Yang, Wan-Xi Yang, Cong-Cong Hou, Ting Jiang, Lin Yang, Kai‐Wei Yu, Fu-Qing Tan, Minghui Lu, Haoqing Shen and Yueling Li. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Chromosoma, Experimental Cell Research, Oncotarget and European Journal of Cell Biology.

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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