Chaojun Song

1.8k total citations
81 papers, 1.4k citations indexed

About

Chaojun Song is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Chaojun Song has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 27 papers in Immunology and 14 papers in Biomedical Engineering. Recurrent topics in Chaojun Song's work include RNA Interference and Gene Delivery (10 papers), Immunotherapy and Immune Responses (10 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Chaojun Song is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Immunotherapy and Immune Responses (10 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Chaojun Song collaborates with scholars based in China, United States and Hong Kong. Chaojun Song's co-authors include Boquan Jin, Kun Yang, Lihua Chen, Angang Yang, Zengshan Li, Li Fan, Yuanjie Sun, Chunmei Zhang, Jiuyu Gong and Zhuwei Xu and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Analytical Chemistry.

In The Last Decade

Chaojun Song

78 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaojun Song China 22 637 448 258 201 161 81 1.4k
Meir Goldsmith Israel 22 1.4k 2.1× 462 1.0× 391 1.5× 170 0.8× 114 0.7× 35 2.0k
Tracie Delgado United States 8 660 1.0× 233 0.5× 235 0.9× 278 1.4× 81 0.5× 11 1.5k
Luise Erpenbeck Germany 25 638 1.0× 1.1k 2.6× 274 1.1× 364 1.8× 129 0.8× 47 2.3k
Mee Rie Sheen United States 21 760 1.2× 454 1.0× 344 1.3× 302 1.5× 98 0.6× 31 1.7k
Lei Wei China 21 785 1.2× 465 1.0× 328 1.3× 274 1.4× 137 0.9× 67 2.0k
Anna Brown Australia 27 686 1.1× 217 0.5× 168 0.7× 130 0.6× 134 0.8× 70 1.7k
Yangzhe Wu China 19 473 0.7× 403 0.9× 162 0.6× 286 1.4× 44 0.3× 53 1.5k
Suet‐Mien Tan Singapore 23 806 1.3× 622 1.4× 238 0.9× 129 0.6× 67 0.4× 66 2.1k
Jianwei Zhu China 28 1.3k 2.1× 490 1.1× 204 0.8× 497 2.5× 68 0.4× 120 2.4k
Ji Qiu United States 26 1.2k 2.0× 389 0.9× 205 0.8× 214 1.1× 74 0.5× 72 2.0k

Countries citing papers authored by Chaojun Song

Since Specialization
Citations

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

Fields of papers citing papers by Chaojun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaojun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chaojun Song. A scholar is included among the top collaborators of Chaojun Song 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 Chaojun Song. Chaojun Song 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
1.
Shi, Zhenwei, Zhuo Wan, Nan Sun, et al.. (2025). Synergistic nano-vaccine strategy for comprehensive activation of adaptive and innate immunity against Staphylococcus aureus infection. Frontiers in Immunology. 16. 1665710–1665710.
3.
Song, Chaojun, Yize Li, Qiaofeng Wang, et al.. (2020). The Establishment and Application Studies on Precise Lysosome pH Indicator Based on Self-Decomposable Nanoparticles. Nanoscale Research Letters. 15(1). 143–143. 4 indexed citations
4.
Zhang, Wenli, Xiaofeng Zhang, Yingli Shen, et al.. (2018). Ultra-high FRET efficiency NaGdF4: Tb3+-Rose Bengal biocompatible nanocomposite for X-ray excited photodynamic therapy application. Biomaterials. 184. 31–40. 69 indexed citations
5.
Fan, Li, Yongsheng Zhang, Fuli Wang, et al.. (2015). Multifunctional all-in-one drug delivery systems for tumor targeting and sequential release of three different anti-tumor drugs. Biomaterials. 76. 399–407. 52 indexed citations
6.
Jiang, Dongbo, Yuanjie Sun, Linfeng Cheng, et al.. (2015). Construction and evaluation of DNA vaccine encoding Hantavirus glycoprotein N-terminal fused with lysosome-associated membrane protein. Vaccine. 33(29). 3367–3376. 25 indexed citations
7.
Zhang, Chunmei, Rende Li, Yongming Li, et al.. (2012). Establishment of Reverse Direct ELISA and Its Application in Screening High-Affinity Monoclonal Antibodies. Hybridoma. 31(4). 284–288. 3 indexed citations
8.
Liu, Zhijia, Chunmei Zhang, Yongming Li, et al.. (2012). High Sensitivity ELISA for Detection of Botulinum Neurotoxin Serotype F. Hybridoma. 31(4). 233–239. 3 indexed citations
9.
Gong, Jiuyu, Rongrong Liu, Ran Zhuang, et al.. (2012). miR‐30c‐1* promotes natural killer cell cytotoxicity against human hepatoma cells by targeting the transcription factor HMBOX1. Cancer Science. 103(4). 645–652. 46 indexed citations
10.
Zhang, Xiaoming, Chaojun Song, Lili Chen, et al.. (2011). A novel immunoassay for residual bovine serum albumin (BSA) in vaccines using laser-induced fluorescence millimeter sensor array detection platform. Biosensors and Bioelectronics. 26(9). 3958–3961. 16 indexed citations
12.
Ma, Ying, Qi Li, Jiuping Wang, et al.. (2010). Cystatin C, a novel urinary biomarker for sensitive detection of acute kidney injury during haemorrhagic fever with renal syndrome. Biomarkers. 15(5). 410–417. 15 indexed citations
13.
Jin, Liang, Boquan Jin, Chaojun Song, & Yu Zhang. (2009). Murine Monoclonal Antibodies Generated Against Mouse/Rat Hemokinin-1. Hybridoma. 28(4). 259–267. 2 indexed citations
14.
Song, Chaojun, Binyuan Yan, Lihua Chen, et al.. (2009). Novel Immunohistochemical Monoclonal Antibody Against Rat B Cell Receptor Associated Protein 31 (BAP31). Hybridoma. 28(5). 363–367. 5 indexed citations
15.
Song, Chaojun, Fuli Wang, Liang Jin, et al.. (2009). Ultrahigh spacing tissue arrays for screening hybridoma by immunohistochemistry. Journal of Immunological Methods. 343(2). 130–133. 1 indexed citations
16.
Wu, Gang, et al.. (2008). Enzyme-linked immunosorbent assay of changes in serum levels of growth hormone (cGH) in common carps (Cyprinus carpio). Science in China Series C Life Sciences. 51(2). 157–163. 14 indexed citations
17.
Wang, Chunyan, Yuan Zhang, Donglin Wang, et al.. (2007). Generation of Rat Monoclonal Antibodies Against Murine LAIR-1. Hybridoma. 26(5). 316–321. 3 indexed citations
18.
Thorne, Rick F., Xinhai Zhang, Chaojun Song, Boquan Jin, & Gordon F. Burns. (2006). Novel Immunoblotting Monoclonal Antibodies Against Human and Rat CD36/Fat Used to Identify an Isoform of CD36 in Rat Muscle. DNA and Cell Biology. 25(5). 302–311. 8 indexed citations
19.
Song, Chaojun, Yi‐Chun Zhu, Wei Jia, et al.. (2004). Expression of TRAIL, DR4, and DR5 in kidney and serum from patients receiving renal transplantation. Transplantation Proceedings. 36(5). 1340–1343. 16 indexed citations
20.
Liu, Xuesong, Yong Zhu, Yingna Li, et al.. (2003). Preparation and Characterization of a Set of Monoclonal Antibodies to TRAIL and TRAIL Receptors DR4, DR5, DcR1, and DcR2. PubMed. 22(2). 121–125. 5 indexed citations

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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