Suhui Ye

528 citations
22 papers · 335 · h-index 12

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • Plant Gene Expression Analysis 2
    • Microbial Natural Products and Biosynthesis 12
    • Fungal Biology and Applications 3

Suhui Ye

20 papers receiving 331 citations

Peers

Suhui Ye
Comparison fields: 5 of 69
  • Pharmacology 109
  • Biotechnology 36
  • Neurology 24
  • Molecular Biology 182
  • Aging 3
Replace Sisi Liu with:
Sisi Liu China
Fang-Yu Yuan China
Ken-ichi Nakajima Japan
Anna Sadowska Poland
Chu‐I Lee Taiwan
Eun-Ah Cho South Korea
Olga Burmistrova Spain
Yanna Jiao China
Mai Sasaki Japan
Suhui Ye relative to Sisi Liu China Sisi Liu's profile →
Citations per field
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Sisi Liu · 1×
Citations per year

Countries citing papers authored by Suhui Ye

Since Specialization
Citations

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

Fields of papers citing papers by Suhui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202250
2 202039
3 201732
4 202025
5 201824
6 202223
7 202118
8 202416
9 202115
10 202015
11 202312
12 202411
13 202311
14 202510
15 20248
16 20238
17 20237
18 20227
19 20253
20 20241

About Suhui Ye

Suhui Ye is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Pharmacology and Pathology and Forensic Medicine, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (12 papers), RNA and protein synthesis mechanisms (3 papers), Fungal Biology and Applications (3 papers), Synthetic Organic Chemistry Methods (3 papers), Plant Gene Expression Analysis (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Spinal Cord Injury Research (2 papers). The work is most often cited by research in Pharmacology (109 citations), Biotechnology (36 citations), Neurology (24 citations), Molecular Biology (182 citations) and Aging (3 citations). Suhui Ye has collaborated with scholars based in Spain, China and Poland. Frequent co-authors include José A. Salas, Alfredo F. Braña, Cármen Méndez, Álvaro Pérez‐Valero, Felipe Lombó, Claudio J. Villar, Eriko Takano, Patricia Magadán‐Corpas, Huimin Zhao and Behnam Enghiad. Their work appears in journals such as Microbial Cell Factories, Frontiers in Microbiology, International Journal of Molecular Sciences, Experimental Eye Research and Cell Reports.

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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