Yuzhang Jiang

554 total citations
23 papers, 147 citations indexed

About

Yuzhang Jiang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Yuzhang Jiang has authored 23 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Yuzhang Jiang's work include CAR-T cell therapy research (4 papers), Reproductive System and Pregnancy (2 papers) and Peptidase Inhibition and Analysis (2 papers). Yuzhang Jiang is often cited by papers focused on CAR-T cell therapy research (4 papers), Reproductive System and Pregnancy (2 papers) and Peptidase Inhibition and Analysis (2 papers). Yuzhang Jiang collaborates with scholars based in China, United States and Netherlands. Yuzhang Jiang's co-authors include Lufeng Zheng, Xiaoman Li, Hai Liu, Shijia Liu, Haiwei Ni, Lanlan Gao, Ting Wang, Chenxi Xiang, Yingying Xing and Yaohui Wang and has published in prestigious journals such as Nature Communications, Annals of Oncology and European Journal of Immunology.

In The Last Decade

Yuzhang Jiang

21 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzhang Jiang China 6 81 43 33 17 16 23 147
Sebastian Brachtendorf Germany 7 178 2.2× 26 0.6× 32 1.0× 18 1.1× 19 1.2× 8 210
Kimiyoshi Sakaguchi Japan 6 68 0.8× 26 0.6× 12 0.4× 21 1.2× 8 0.5× 16 141
Thanigaivelan Kanagasabai United States 7 130 1.6× 48 1.1× 41 1.2× 8 0.5× 18 1.1× 21 184
Juan L López-Cánovas Spain 9 182 2.2× 81 1.9× 24 0.7× 36 2.1× 16 1.0× 13 250
Pavana Anur United States 6 123 1.5× 56 1.3× 38 1.2× 14 0.8× 18 1.1× 11 194
Isabell Hultman Sweden 6 71 0.9× 39 0.9× 32 1.0× 8 0.5× 4 0.3× 7 154
Jacquelyn Sousa United States 8 151 1.9× 48 1.1× 14 0.4× 19 1.1× 10 0.6× 14 211
Sobia Zaidi United States 7 83 1.0× 26 0.6× 53 1.6× 22 1.3× 13 0.8× 11 140
Yunhan Ma China 8 82 1.0× 46 1.1× 30 0.9× 10 0.6× 13 0.8× 32 179
Yong Kim United States 6 130 1.6× 52 1.2× 29 0.9× 17 1.0× 13 0.8× 12 182

Countries citing papers authored by Yuzhang Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yuzhang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhang Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhang Jiang. A scholar is included among the top collaborators of Yuzhang Jiang 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 Yuzhang Jiang. Yuzhang Jiang 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.
Zeng, Bin, et al.. (2025). Characterization and analysis of MicroRNA during leg muscle development in embryonic stage of daozhou grey goose. Poultry Science. 104(9). 105354–105354. 1 indexed citations
3.
Li, Chang, et al.. (2024). Establishment and Validation of a Risk Prediction Model for Sepsis-Associated Liver Injury in ICU Patients: A Retrospective Cohort Study. Infection and Drug Resistance. Volume 18. 1–13. 1 indexed citations
4.
Xu, Guoying, Mengdan Yan, Ling Zhu, et al.. (2023). Evaluating the effectiveness of a new student-centred laboratory training strategy in clinical biochemistry teaching. BMC Medical Education. 23(1). 391–391. 2 indexed citations
5.
Chen, Changying, Fangyuan Liu, Congyong Sun, et al.. (2023). SNP rs3803264 polymorphisms in THSD1 and abnormally expressed mRNA are associated with hemorrhagic stroke. Frontiers in Aging Neuroscience. 15. 1144364–1144364.
6.
Zhang, X, et al.. (2023). A2ML1 Inhibits Esophageal Squamous Cell Carcinoma Progression and Serves as a Novel Prognostic Biomarker. Canadian Journal of Gastroenterology and Hepatology. 2023. 1–9. 1 indexed citations
7.
Yuan, Kai, Wenbin Kuang, Xiao Wang, et al.. (2022). Targeting dual-specificity tyrosine phosphorylation-regulated kinase 2 with a highly selective inhibitor for the treatment of prostate cancer. Nature Communications. 13(1). 2903–2903. 13 indexed citations
8.
Chen, Xuemei, Siyuan Yang, Lu Wang, et al.. (2022). Association of THBS1 genetic variants and mRNA expression with the risks of ischemic stroke and long-term death after stroke. Frontiers in Aging Neuroscience. 14. 1006473–1006473. 6 indexed citations
9.
Li, Hui, Linyu Geng, Ziyi Jin, et al.. (2022). CD56brightCD16- to CD57+CD56dimCD16+ NK cell ratio discriminates disease activity and renal involvement in patients with systemic lupus erythematosus. Clinical and Experimental Rheumatology. 41(9). 1768–1776. 5 indexed citations
10.
Xu, Jing, Haoyi Zhang, Chan Wang, et al.. (2021). Increased sensitivity of gp210 autoantibody detection using a newly designed gp210 antigen. Journal of Immunological Methods. 501. 113211–113211. 1 indexed citations
11.
Yang, Baowei, Mengyuan Zhang, Huiling Tang, et al.. (2021). Repurposing Celecoxib Analogues as Leads for Antibiotics. Future Medicinal Chemistry. 13(11). 959–974. 3 indexed citations
12.
Zheng, Lufeng, Qianqian Guo, Chenxi Xiang, et al.. (2019). Transcriptional factor six2 promotes the competitive endogenous RNA network between CYP4Z1 and pseudogene CYP4Z2P responsible for maintaining the stemness of breast cancer cells. Journal of Hematology & Oncology. 12(1). 23–23. 56 indexed citations
13.
Jiang, Yuzhang, et al.. (2019). NID2 can serve as a potential prognosis prediction biomarker and promotes the invasion and migration of gastric cancer. Pathology - Research and Practice. 215(10). 152553–152553. 16 indexed citations
14.
Topp, Max S., Tom van Meerten, Martin Wermke, et al.. (2019). PS1067 AXICABTAGENE CILOLEUCEL (AXI‐CEL) IN PATIENTS WITH RELAPSED/REFRACTORY LARGE B CELL LYMPHOMA: PRELIMINARY RESULTS OF EARLIER STEROID USE. HemaSphere. 3(S1). 483–483. 1 indexed citations
15.
Yao, Di, et al.. (2018). Clinical Characterization of Serum Docosahexaenoic Acid and Its Relationship With Inflammation Factors in Patients With Diabetic Nephropathy.. PubMed. 12(2). 91–98. 4 indexed citations
16.
Hu, Wei, Jun Wang, Guanliang Cheng, et al.. (2016). Impact of serum uric acid, albumin and their interaction on Parkinson’s disease. Neurological Sciences. 38(2). 331–336. 20 indexed citations
18.
Jiang, Yuzhang, et al.. (2014). Identification of a Novel Fusion Gene (HLA-E and HLA-B) by RNA-seq Analysis in Esophageal Squamous Cell Carcinoma. Asian Pacific Journal of Cancer Prevention. 15(5). 2309–2312. 7 indexed citations
19.
Jiang, Yuzhang, et al.. (2012). Association of the C-reactive protein gene polymorphisms and plasma hs-CRP level in ischemic stroke. Zhonghua jianyan yixue zazhi. 35(10). 916–920. 1 indexed citations
20.
Jiang, Yuzhang. (2005). The abnormal expression of IL-10, IFN-γ, IP-10 and IL-12 in patients with systemic lupus erythematosus and the effects of cyclosporine A and cyclophosphamide on it. 1 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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