Linlin Ye

911 citations
52 papers · 592 · h-index 12

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Linlin Ye

44 papers receiving 588 citations

Peers

Linlin Ye
Comparison fields: 5 of 112
  • Immunology 232
  • Cancer Research 97
  • Oncology 154
  • Neurology 23
  • Modeling and Simulation 12
Replace Fabiola Blengio with:
Fabiola Blengio Italy
Nadim Aizarani Germany
Rihao Qu United States
Maryam Moradi Binabaj Iran
Alessandro Palma Italy
Qi Yu China
Hongjuan Zhang China
Shun Wang China
Caitlin Marie Reid United States
Dionne Davis United States
Linlin Ye relative to Fabiola Blengio Italy Fabiola Blengio's profile →
Citations per field
00.5×3.4×
Fabiola Blengio · 1×
Citations per year

Countries citing papers authored by Linlin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201875
3 202263
4 202246
5 202340
6 202128
7 202025
8 202418
9 202116
10 202114
11 202312
12 201911
13 202011
14 201910
15 20229
16 20189
17 20238
18 20238
19 20178
20 20237

About Linlin Ye

Linlin Ye is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Immunology, having authored 52 papers that have together received 592 indexed citations. Recurring topics across this work include Spatial Neglect and Hemispheric Dysfunction (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Pleural and Pulmonary Diseases (5 papers), Immune Cell Function and Interaction (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Immune cells in cancer (4 papers), MicroRNA in disease regulation (4 papers) and Vestibular and auditory disorders (4 papers). The work is most often cited by research in Immunology (232 citations), Cancer Research (97 citations), Oncology (154 citations), Neurology (23 citations) and Modeling and Simulation (12 citations). Linlin Ye has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Xiao‐Shan Wei, Yiran Niu, Siyu Zhang, Qiong Zhou, Qiong Zhou, Wenbei Peng, Xuan Xiang, Xinyu Song, Li Yang and Zi-Hao Wang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Neuroscience, Journal for ImmunoTherapy of Cancer, Alexandria Engineering Journal and Journal of Leukocyte 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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