Linlin Ye

984 citations
54 papers · 646 · 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

Papers in

Linlin Ye

49 papers receiving 644 citations

Peers

Linlin Ye
Comparison fields: 5 of 113
  • Immunology 217
  • Cancer Research 94
  • Oncology 127
  • Modeling and Simulation 12
  • Molecular Biology 159
Replace Anshika Srivastava with:
Anshika Srivastava India
Sónia Frasquilho Luxembourg
Alessandro Palma Italy
Nadim Aizarani Germany
Kenneth Yan United States
Rihao Qu United States
Dongyao Wang China
Qingquan Hua China
Siyang Feng China
Linlin Ye relative to Anshika Srivastava India Anshika Srivastava's profile →
Citations per field
00.5×5×11×
Anshika Srivastava · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020102
2 201879
3 202269
4 202252
5 202346
6 202129
7 202426
8 202026
9 202117
10 202114
11 202312
12 202012
13 201911
14 201910
15 201810
16 20229
17 20239
18 20239
19 20238
20 20238

About Linlin Ye

Linlin Ye is a scholar working on Molecular Biology, Cognitive Neuroscience, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 54 papers that have together received 646 indexed citations. Recurring topics across this work include Spatial Neglect and Hemispheric Dysfunction (8 papers), Quantum Computing Algorithms and Architecture (4 papers), Immune cells in cancer (4 papers), Quantum Information and Cryptography (4 papers), Vestibular and auditory disorders (4 papers), Circular RNAs in diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (217 citations), Cancer Research (94 citations), Oncology (127 citations), Modeling and Simulation (12 citations) and Molecular Biology (159 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, Wenbei Peng, Qiong Zhou, Xuan Xiang, Zi-Hao Wang, Xinyu Song and Li Yang. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Frontiers in Neuroscience, Frontiers in Immunology, Molecular Imaging and Biology 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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