Linying Ye

418 citations
13 papers · 278 · 1 hit paper · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

    • Natural product bioactivities and synthesis 1
    • Immune cells in cancer 2
    • Phagocytosis and Immune Regulation 1

Linying Ye

12 papers receiving 276 citations

Linying Ye's Hit Papers

Intratumoral Fusobacterium nucleatum Recruits Tumor-Associated Neutrophils to Promote Gastric Cancer Progression and Immune Evasion 2025 · 26 citations
260Years since publication510152025

Peers

Linying Ye
Comparison fields: 5 of 60
  • Cancer Research 125
  • Molecular Biology 179
  • Cell Biology 39
  • Geriatrics and Gerontology 7
  • Epidemiology 55
Replace Erica Ullman with:
Erica Ullman United States
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Yanyun Du China
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Catarina R. Vieira Spain
Jamie Z. Roberts United Kingdom
Ziyi Wang China
Laura C. Cobbold United Kingdom
Linying Ye relative to Erica Ullman United States Erica Ullman's profile →
Citations per field
00.5×10×14.3×
Erica Ullman · 1×
Citations per year

Countries citing papers authored by Linying Ye

Since Specialization
Citations

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

Fields of papers citing papers by Linying Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201194
2 201573
3 201355
4
Intratumoral Fusobacterium nucleatum Recruits Tumor-Associated Neutrophils to Promote Gastric Cancer Progression and Immune Evasion
Hit paper breakdown →
202526
5 202413
6 20244
7 20254
8 20254
9 20242
10 20251
11 20251
12 20251
13 20240

About Linying Ye

Linying Ye is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Cell Biology, having authored 13 papers that have together received 278 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (2 papers), Cancer Research and Treatments (2 papers), Immune cells in cancer (2 papers), MicroRNA in disease regulation (1 paper), Lymphatic System and Diseases (1 paper), Phagocytosis and Immune Regulation (1 paper), Molecular Sensors and Ion Detection (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Cancer Research (125 citations), Molecular Biology (179 citations), Cell Biology (39 citations), Geriatrics and Gerontology (7 citations) and Epidemiology (55 citations). Linying Ye has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Yumei Du, Changliang Shan, Guangyao Kong, Runping Fang, Hui Shi, Xiaona You, Na Lv, Tianyu Wang, Shirong Cai and Risheng Zhao. Their work appears in journals such as Oncogene, Journal of the American Chemical Society, Cell Death and Disease, Cancer Letters and Cellular Oncology.

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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