Cheng Jin

1.8k total citations · 1 hit paper
47 papers, 1.4k citations indexed

About

Cheng Jin is a scholar working on Molecular Biology, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Cheng Jin has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Biomedical Engineering and 7 papers in Organic Chemistry. Recurrent topics in Cheng Jin's work include Advanced biosensing and bioanalysis techniques (23 papers), RNA Interference and Gene Delivery (16 papers) and DNA and Nucleic Acid Chemistry (12 papers). Cheng Jin is often cited by papers focused on Advanced biosensing and bioanalysis techniques (23 papers), RNA Interference and Gene Delivery (16 papers) and DNA and Nucleic Acid Chemistry (12 papers). Cheng Jin collaborates with scholars based in China, United States and United Kingdom. Cheng Jin's co-authors include Weihong Tan, Ruowen Wang, Liping Qiu, Jianmei Zou, Xiaobing Zhang, Wenjing Xuan, Qiaoling Liu, Ting Fu, Muling Shi and Xiaojing Liu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Cheng Jin

46 papers receiving 1.4k citations

Hit Papers

Learning with limited annotations: A survey on deep semi-... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Jin China 21 964 446 255 139 132 47 1.4k
Carlo Morasso Italy 24 746 0.8× 467 1.0× 148 0.6× 202 1.5× 148 1.1× 69 1.5k
Changjiang You Germany 24 1.1k 1.1× 330 0.7× 282 1.1× 84 0.6× 53 0.4× 91 1.7k
Fei Jia China 25 1.2k 1.2× 378 0.8× 179 0.7× 363 2.6× 68 0.5× 63 1.8k
Bingqian Lin China 22 1.7k 1.8× 1.1k 2.4× 267 1.0× 110 0.8× 232 1.8× 39 2.3k
Qiao Jiang China 13 1.9k 2.0× 875 2.0× 194 0.8× 257 1.8× 62 0.5× 18 2.3k
Alexander M. Xu United States 19 844 0.9× 883 2.0× 158 0.6× 176 1.3× 114 0.9× 34 2.0k
Jialü Zhang China 21 1.1k 1.2× 775 1.7× 339 1.3× 61 0.4× 161 1.2× 85 2.2k
Le Liang China 17 1.9k 2.0× 867 1.9× 476 1.9× 210 1.5× 84 0.6× 37 2.6k
Umberto Capasso Palmiero Switzerland 23 855 0.9× 368 0.8× 196 0.8× 430 3.1× 68 0.5× 48 1.6k
Gerard G. M. D’Souza United States 25 1.5k 1.6× 398 0.9× 190 0.7× 407 2.9× 123 0.9× 46 2.1k

Countries citing papers authored by Cheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Jin. A scholar is included among the top collaborators of Cheng Jin 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 Cheng Jin. Cheng Jin 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
2.
Zhou, Yuan, Jingjing Zhou, Han Qi, et al.. (2025). Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers. npj Digital Medicine. 8(1). 515–515. 2 indexed citations
3.
Wang, Youpeng, Ziyin Zhao, Tingting Guo, et al.. (2024). SOCS5-RBMX stimulates SREBP1-mediated lipogenesis to promote metastasis in steatotic HCC with HBV-related cirrhosis. npj Precision Oncology. 8(1). 58–58. 2 indexed citations
4.
Jin, Cheng, et al.. (2024). Modular and automated synthesis of oligonucleotide-small molecule conjugates for cathepsin B mediated traceless release of payloads. RSC Chemical Biology. 5(8). 738–744. 1 indexed citations
5.
Zhou, Jingjing, Xuequan Zhu, Shaoting Zhang, et al.. (2024). An objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural network. Patterns. 5(12). 101081–101081. 4 indexed citations
6.
Jin, Cheng, et al.. (2023). Crucial role of the transcription factors family activator protein 2 in cancer: current clue and views. Journal of Translational Medicine. 21(1). 371–371. 25 indexed citations
7.
Jiao, Rushi, Yichi Zhang, Le Ding, et al.. (2023). Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation. Computers in Biology and Medicine. 169. 107840–107840. 142 indexed citations breakdown →
8.
Wang, Youpeng, Mao Zhang, Haoran Li, et al.. (2022). SOCS5 knockdown suppresses metastasis of hepatocellular carcinoma by ameliorating HIF-1α-dependent mitochondrial damage. Cell Death and Disease. 13(11). 918–918. 6 indexed citations
9.
Zou, Jianmei, et al.. (2021). Enzymatic dephosphorylation-triggered self-assembly of DNA amphiphiles. RSC Advances. 11(30). 18322–18325. 4 indexed citations
10.
Jin, Cheng, Jiaxuan He, Jianmei Zou, et al.. (2019). Phosphorylated lipid-conjugated oligonucleotide selectively anchors on cell membranes with high alkaline phosphatase expression. Nature Communications. 10(1). 2704–2704. 88 indexed citations
11.
Xuan, Wenjing, Yongbo Peng, Zhengyu Deng, et al.. (2018). A basic insight into aptamer-drug conjugates (ApDCs). Biomaterials. 182. 216–226. 93 indexed citations
12.
Jin, Cheng, Hui Zhang, Jianmei Zou, et al.. (2018). Floxuridine Homomeric Oligonucleotides “Hitchhike” with Albumin In Situ for Cancer Chemotherapy. Angewandte Chemie. 130(29). 9132–9135. 9 indexed citations
13.
Peng, Yong, Teng Liu, Cheng Jin, et al.. (2017). A Multi‐Mitochondrial Anticancer Agent that Selectively Kills Cancer Cells and Overcomes Drug Resistance. ChemMedChem. 12(3). 250–256. 23 indexed citations
14.
Jin, Cheng, Jing Zheng, Chunmei Li, et al.. (2015). Aptamers Selected by Cell-SELEX for Molecular Imaging. Journal of Molecular Evolution. 81(5-6). 162–171. 12 indexed citations
15.
Zhang, Yi, Keyong Li, Cheng Jin, et al.. (2015). Electrical stimulation characteristics of denervated orbicularis oculi muscle. Neurological Sciences. 36(8). 1379–1386. 2 indexed citations
16.
Jin, Cheng, et al.. (2014). Comparative studies on the implantation of nano platinum black and pure platinum electrodes in the rabbit orbicularis oculi muscle. The Journal of Laryngology & Otology. 128(8). 679–689. 5 indexed citations
17.
Ge, Yushu, et al.. (2014). Multi-spectroscopic analysis and molecular modeling on the interaction of curcumin and its derivatives with human serum albumin: A comparative study. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 124. 265–276. 56 indexed citations
18.
Liu, Qiaoling, Cheng Jin, Yanyue Wang, et al.. (2014). Aptamer-conjugated nanomaterials for specific cancer cell recognition and targeted cancer therapy. NPG Asia Materials. 6(4). e95–e95. 119 indexed citations
20.
Jin, Cheng, et al.. (2007). Nanoscale surface topography enhances cell adhesion and gene expression of madine darby canine kidney cells. Journal of Materials Science Materials in Medicine. 19(5). 2215–2222. 21 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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