Long Ren

1.7k citations
28 papers · 1.4k · 1 hit paper · h-index 11

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Nanoparticle-Based Drug Delivery

Papers in

Long Ren

26 papers receiving 1.4k citations

Long Ren's Hit Papers

Immunogenic Cell Death Activates the Tumor Immune Microenvironment to Boost the Immunotherapy Efficiency 2022 · 524 citations
5240+1+2Years since publication100200300400500

Peers

Long Ren
Comparison fields: 5 of 93
  • Immunology 496
  • Biomaterials 255
  • Biomedical Engineering 742
  • Oncology 260
  • Cancer Research 110
Replace Fan Tong with:
Fan Tong China
Sara Musetti United States
Mian Yu China
Kuo‐Ching Mei United States
Huan Min China
Cao Dai Phung South Korea
Suxin Li China
Yinying Pu China
Dengshuai Wei China
Long Ren relative to Fan Tong China Fan Tong's profile →
Citations per field
00.5×11×
Fan Tong · 1×
Citations per year

Countries citing papers authored by Long Ren

Since Specialization
Citations

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

Fields of papers citing papers by Long Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immunogenic Cell Death Activates the Tumor Immune Microenvironment to Boost the Immunotherapy Efficiency
Hit paper breakdown →
2022524
2 2019254
3 2022136
4 2017102
5 202173
6 202258
7 202452
8 201843
9 201533
10 202230
11 202125
12 202310
13 201110
14 20117
15 20106
16 20164
17 20104
18 20113
19 20113
20 20253

About Long Ren

Long Ren is a scholar working on Biomaterials, Polymers and Plastics, Biomedical Engineering, Organic Chemistry and Immunology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Photopolymerization techniques and applications (6 papers), Collagen: Extraction and Characterization (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Dendrimers and Hyperbranched Polymers (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Immunology (496 citations), Biomaterials (255 citations), Biomedical Engineering (742 citations), Oncology (260 citations) and Cancer Research (110 citations). Long Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kui Luo, Zhongwei Gu, Yong Taik Lim, Hu Zhang, Hao Cai, Zhilin Li, Xuelei Ma, Hathaichanok Phuengkham, Il-Woo Shin and Xiaoqin Lai. Their work appears in journals such as Advanced Materials, Advanced Science, Advanced Functional Materials, Advanced materials research and Bioactive Materials.

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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