Enhui Shen

2.4k citations
47 papers · 1.5k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance

Papers in

    • Plant Molecular Biology Research 10
    • Chromosomal and Genetic Variations 5
    • Plant Virus Research Studies 4
    • Genomics and Phylogenetic Studies 4
    • Plant Gene Expression Analysis 3

Enhui Shen

43 papers receiving 1.5k citations

Peers

Enhui Shen
Comparison fields: 5 of 106
  • Cancer Research 179
  • Plant Science 428
  • Endocrinology 47
  • Molecular Biology 626
  • Cardiology and Cardiovascular Medicine 143
Replace Akio Ishida with:
Akio Ishida Japan
Ludmiła Węglarz Poland
Mei Deng China
Qinghua Ma China
Daniel Mihálik Slovakia
Yinghong Liu China
Jaspreet Sandhu United States
Fan Deng China
Lu Gao China
Enhui Shen relative to Akio Ishida Japan Akio Ishida's profile →
Citations per field
00.5×3.8×
Akio Ishida · 1×
Citations per year

Countries citing papers authored by Enhui Shen

Since Specialization
Citations

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

Fields of papers citing papers by Enhui Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009164
2 2010147
3 2017137
4 201790
5 201186
6 201572
7 201668
8 202061
9 201259
10 201250
11 201544
12 200042
13 202042
14 201840
15 201440
16 202135
17 202331
18 201929
19 200727
20 202225

About Enhui Shen

Enhui Shen is a scholar working on Plant Science, Molecular Biology, Cancer Research, Genetics and Biomedical Engineering, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Chromosomal and Genetic Variations (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Ultrasound and Hyperthermia Applications (5 papers), Genomics and Phylogenetic Studies (4 papers), Plant Virus Research Studies (4 papers), Plant Gene Expression Analysis (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Cancer Research (179 citations), Plant Science (428 citations), Endocrinology (47 citations), Molecular Biology (626 citations) and Cardiology and Cardiovascular Medicine (143 citations). Enhui Shen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tianqing Peng, J. Malcolm O. Arnold, Huaqing Zhu, Qian‐Hao Zhu, Chuyu Ye, Wenkun Bai, Longjiang Fan, Bing Hu, Qingping Feng and Li Wan. Their work appears in journals such as BMC Genomics, Frontiers in Plant Science, The Plant Journal, Diabetes and PLANT PHYSIOLOGY.

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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