Xinyu Shan

488 total citations · 1 hit paper
26 papers, 343 citations indexed

About

Xinyu Shan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Xinyu Shan has authored 26 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Xinyu Shan's work include Immunotherapy and Immune Responses (5 papers), Plasmonic and Surface Plasmon Research (3 papers) and Extracellular vesicles in disease (2 papers). Xinyu Shan is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Plasmonic and Surface Plasmon Research (3 papers) and Extracellular vesicles in disease (2 papers). Xinyu Shan collaborates with scholars based in China, Australia and Canada. Xinyu Shan's co-authors include Lihua Luo, Jian You, Yingying Shi, Yichao Lu, Mengshi Jiang, Junlei Zhang, Xuemeng Guo, Zhenyu Luo, Bing Qin and Jiaxin Huang and has published in prestigious journals such as Nature Communications, ACS Nano and Nature Nanotechnology.

In The Last Decade

Xinyu Shan

23 papers receiving 338 citations

Hit Papers

Neutrophil hitchhiking for drug delivery to the bone marrow 2023 2026 2024 2025 2023 25 50 75 100

Peers

Xinyu Shan
Comparison fields: 5 of 82
  • Molecular Biology 145
  • Biomedical Engineering 92
  • Immunology 83
  • Biomaterials 54
  • Oncology 48
Replace Karina Kinghorn with:
Karina Kinghorn United States
Rowshan Ara Islam Malaysia
Neelesh Soman United States
Jaesung Lim South Korea
Alicia Landeira‐Viñuela Spain
Seong Dong Jeong South Korea
Pranjali Kanvinde United States
Pablo Juanes‐Velasco Spain
Susanne Melzer Germany
Karina Kinghorn United States View profile →
Citations per field, relative to Xinyu Shan
Xinyu Shan · 1×
Citations per year, relative to Xinyu Shan
Xinyu Shan · 1×

Countries citing papers authored by Xinyu Shan

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Shan. A scholar is included among the top collaborators of Xinyu Shan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinyu Shan. Xinyu Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 1
4 0
5 0
6 2
7 3
8 4
9 13
10 6
11
Neutrophil hitchhiking for drug delivery to the bone marrow breakdown →
118
12 6
13 12
14 1
15 17
16 16
17 6
18 27
19 13
20 14

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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