Weijing Yang

4.9k citations
69 papers · 4.1k indexed · 1 hit paper · h-index 37

Impact in

Papers in

    • Nanoparticle-Based Drug Delivery 23
    • Immune cells in cancer 9
    • Immunotherapy and Immune Responses 8

Weijing Yang

67 papers receiving 4.1k citations

Hit Papers

Endoplasmic Reticulum Targeting to Amplify Immunogenic Cell Death for Cancer Immunotherapy 2020 · 313 citations
3132020202620222024100200300

Peers

Weijing Yang
Comparison fields: 5 of 115
  • Biomaterials 1.3k
  • Biomedical Engineering 2.5k
  • Immunology 792
  • Materials Chemistry 995
  • Molecular Biology 1.4k
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Weijing Yang relative to Sejin Son South Korea Sejin Son's profile →
Citations per field
00.5×1.6×
Sejin Son · 1×
Citations per year

Countries citing papers authored by Weijing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weijing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Endoplasmic Reticulum Targeting to Amplify Immunogenic Cell Death for Cancer Immunotherapy
Hit paper breakdown →
2020313
2 2019249
3 2020244
4 2020225
5 2019219
6 2020202
7 2019202
8 2019160
9 2017142
10 2018137
11 2022120
12 2021105
13 2013101
14 202080
15 201479
16 201479
17 202077
18 201476
19 201568
20 201567

About Weijing Yang

Weijing Yang is a scholar working on Biomaterials, Immunology, Biomedical Engineering, Virology and Oncology, having authored 69 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (32 papers), Nanoparticle-Based Drug Delivery (23 papers), RNA Interference and Gene Delivery (14 papers), Immune cells in cancer (9 papers), Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Photodynamic Therapy Research Studies (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Biomaterials (1.3k citations), Biomedical Engineering (2.5k citations), Immunology (792 citations), Materials Chemistry (995 citations) and Molecular Biology (1.4k citations). Weijing Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongzhang Deng, Lisen Lin, Zhiyuan Zhong, Fenghua Meng, Sheng Wang, Xiaohong Chen, Zijian Zhou, Xiaoyuan Chen, Guocan Yu and Zhantong Wang. Their work appears in journals such as Journal of Controlled Release, Nature Communications, Advanced Materials, ACS Nano and Organic Chemistry Frontiers.

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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