Jiacheng Chu

567 total citations
9 papers, 480 citations indexed

About

Jiacheng Chu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jiacheng Chu has authored 9 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Jiacheng Chu's work include Immunotherapy and Immune Responses (4 papers), Extracellular vesicles in disease (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Jiacheng Chu is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Extracellular vesicles in disease (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Jiacheng Chu collaborates with scholars based in China and United States. Jiacheng Chu's co-authors include Zhuang Liu, Chao Wang, Qin Fan, Qingle Ma, Jun Xu, Xiao Han, Jiawen Chen, Chao Liang, Ziying Fei and Huaxing Dai and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Jiacheng Chu

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiacheng Chu China	8	247	192	153	98	85	9	480
Peter Abdou United States	7	313 1.3×	227 1.2×	175 1.1×	122 1.2×	166 2.0×	7	690
Xiuxiu Cong China	9	183 0.7×	171 0.9×	113 0.7×	67 0.7×	119 1.4×	19	411
Sandra Torregrosa‐Allen United States	14	217 0.9×	205 1.1×	190 1.2×	181 1.8×	140 1.6×	26	657
Cassidy Blundell United States	7	465 1.9×	151 0.8×	107 0.7×	128 1.3×	102 1.2×	10	835
Seok Ho Song South Korea	12	209 0.8×	324 1.7×	160 1.0×	69 0.7×	90 1.1×	15	549
Hyunjoon Kim United States	14	214 0.9×	210 1.1×	272 1.8×	133 1.4×	141 1.7×	22	616
Chen Qiu China	11	268 1.1×	88 0.5×	118 0.8×	71 0.7×	81 1.0×	24	474
Minliang Wu China	10	173 0.7×	228 1.2×	69 0.5×	76 0.8×	118 1.4×	27	512
Hyunjun Choi United States	11	191 0.8×	94 0.5×	110 0.7×	82 0.8×	84 1.0×	17	359
Xinhe Yu China	9	300 1.2×	195 1.0×	213 1.4×	153 1.6×	65 0.8×	12	586

Countries citing papers authored by Jiacheng Chu

Since Specialization

Citations

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

Fields of papers citing papers by Jiacheng Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiacheng Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiacheng Chu. A scholar is included among the top collaborators of Jiacheng Chu 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 Jiacheng Chu. Jiacheng Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Ma, Qingle, Jinyu Bai, Jialu Xu, et al.. (2021). Reshaping the Inflammatory Environment in Rheumatoid Arthritis Joints by Targeting Delivery of Berberine with Platelet‐Derived Extracellular Vesicles. SHILAP Revista de lepidopterología. 1(11). 13 indexed citations

2.

Dai, Huaxing, Qin Fan, Ziying Fei, et al.. (2021). Systemically administered silica nanoparticles result in diminished T cell response in lung. Nano Today. 42. 101332–101332. 10 indexed citations

3.

Ma, Qingle, Jinyu Bai, Jialu Xu, et al.. (2021). Reshaping the Inflammatory Environment in Rheumatoid Arthritis Joints by Targeting Delivery of Berberine with Platelet‐Derived Extracellular Vesicles. SHILAP Revista de lepidopterología. 1(11). 17 indexed citations

4.

Xu, Fang, Ziying Fei, Huaxing Dai, et al.. (2021). Mesenchymal Stem Cell‐Derived Extracellular Vesicles with High PD‐L1 Expression for Autoimmune Diseases Treatment. Advanced Materials. 34(1). e2106265–e2106265. 127 indexed citations

5.

Chu, Jiacheng, Chenya Wang, Qingle Ma, et al.. (2021). Coupling programmed cell death 1-positive tumor-infiltrating T cells with anti-programmed cell death 1 antibody improves the efficacy of adoptive T-cell therapy. Cytotherapy. 24(3). 291–301. 3 indexed citations

6.

Zhu, Li‐Juan, Jiacheng Chu, Yan Gu, et al.. (2020). Promoting the activation of T cells with glycopolymer-modified dendritic cells by enhancing cell interactions. Science Advances. 6(47). 45 indexed citations

7.

Wang, Chenya, Wenwen Zhu, Jiacheng Chu, et al.. (2020). Photosensitizer‐Modified MnO₂ Nanoparticles to Enhance Photodynamic Treatment of Abscesses and Boost Immune Protection for Treated Mice. Small. 16(28). e2000589–e2000589. 104 indexed citations

8.

Han, Xiao, Rui Wang, Jun Xu, et al.. (2019). In situ thermal ablation of tumors in combination with nano-adjuvant and immune checkpoint blockade to inhibit cancer metastasis and recurrence. Biomaterials. 224. 119490–119490. 80 indexed citations

9.

Han, Xiao, Jiawen Chen, Jiacheng Chu, et al.. (2019). Platelets as platforms for inhibition of tumor recurrence post-physical therapy by delivery of anti-PD-L1 checkpoint antibody. Journal of Controlled Release. 304. 233–241. 81 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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