Jiaqi Su

637 total citations
29 papers, 353 citations indexed

About

Jiaqi Su is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Jiaqi Su has authored 29 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Jiaqi Su's work include Ferroptosis and cancer prognosis (15 papers), Renal cell carcinoma treatment (13 papers) and Epigenetics and DNA Methylation (7 papers). Jiaqi Su is often cited by papers focused on Ferroptosis and cancer prognosis (15 papers), Renal cell carcinoma treatment (13 papers) and Epigenetics and DNA Methylation (7 papers). Jiaqi Su collaborates with scholars based in China, Switzerland and United Kingdom. Jiaqi Su's co-authors include Xi Tian, Wenhao Xu, Aihetaimujiang Anwaier, Wangrui Liu, Yuanyuan Qu, Dingwei Ye, Hailiang Zhang, Guohai Shi, Wenkai Zhu and Yuanyuan Qu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Jiaqi Su

26 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaqi Su China 9 194 135 124 113 90 29 353
Xiaofang Xing China 9 188 1.0× 102 0.8× 191 1.5× 140 1.2× 101 1.1× 15 386
Teming Zhang China 6 135 0.7× 114 0.8× 160 1.3× 89 0.8× 110 1.2× 10 324
Fangshi Xu China 13 232 1.2× 206 1.5× 123 1.0× 210 1.9× 36 0.4× 27 396
Zhanwang Wang China 12 247 1.3× 137 1.0× 97 0.8× 158 1.4× 50 0.6× 21 381
Zhengchun Kang China 6 133 0.7× 109 0.8× 176 1.4× 95 0.8× 163 1.8× 11 358
Haifa Guo China 7 159 0.8× 86 0.6× 71 0.6× 130 1.2× 44 0.5× 13 291
Juju Miao China 5 146 0.8× 104 0.8× 66 0.5× 77 0.7× 51 0.6× 6 262
Haoran Xia China 8 121 0.6× 156 1.2× 163 1.3× 81 0.7× 105 1.2× 30 337
Lukas Vlahos United States 5 127 0.7× 68 0.5× 71 0.6× 49 0.4× 94 1.0× 13 263
Dorothee Franziska Strohmer China 5 174 0.9× 100 0.7× 98 0.8× 110 1.0× 106 1.2× 6 309

Countries citing papers authored by Jiaqi Su

Since Specialization
Citations

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

Fields of papers citing papers by Jiaqi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaqi Su. A scholar is included among the top collaborators of Jiaqi Su 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 Jiaqi Su. Jiaqi Su 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.
Yu, J., Jiaqi Su, Wen Zhang, et al.. (2025). Mitigating effects of plasmalogens on age-related cognitive impairment. Journal of Functional Foods. 128. 106790–106790.
2.
Su, Jiaqi, et al.. (2025). Identifying key palmitoylation-associated genes in endometriosis through genomic data analysis. BMC Women s Health. 25(1). 161–161.
3.
4.
Lin, Fabin, Jiaqi Su, Li‐Jun Wan, et al.. (2024). Cortical thickness and white matter microstructure predict freezing of gait development in Parkinson’s disease. npj Parkinson s Disease. 10(1). 16–16. 5 indexed citations
5.
Huang, Haitao, et al.. (2024). Identification of shared immune infiltration characteristic molecules in dermatomyositis and nasopharyngeal carcinoma using bioinformatics. Skin Research and Technology. 30(8). e13871–e13871. 1 indexed citations
6.
Feng, Tao, Yue Wang, Wei Zhang, et al.. (2024). Machine Learning-based Framework Develops a Tumor Thrombus Coagulation Signature in Multicenter Cohorts for Renal Cancer. International Journal of Biological Sciences. 20(9). 3590–3620. 2 indexed citations
7.
Zhang, Zi-Hao, Yue Wang, Ya Zhang, et al.. (2023). The function and mechanisms of action of circular RNAs in Urologic Cancer. Molecular Cancer. 22(1). 61–61. 56 indexed citations
8.
Su, Jiaqi, et al.. (2023). Effects of acupuncture at Houxi (SI3) and Huantiao (GB30) on NF-κB/iNOS/NO pathway in lumbar disc herniation model rats. Journal of Acupuncture and Tuina Science. 21(4). 254–264.
9.
Ye, Shiqi, Aihetaimujiang Anwaier, Shiyin Wei, et al.. (2023). Protein Arginine Methyltransferases Refine the Classification of Clear Cell Renal Cell Carcinoma with Distinct Prognosis and Tumor Microenvironment Characteristics. International Journal of Biological Sciences. 19(14). 4552–4570. 8 indexed citations
10.
Wang, Yue, Xi Tian, Wenhao Xu, et al.. (2023). Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma. World Journal of Surgical Oncology. 21(1). 98–98. 2 indexed citations
11.
Chang, Kun, Jiaqi Su, Chuanyu Li, et al.. (2022). Multi-omics profiles refine L-dopa decarboxylase (DDC) as a reliable biomarker for prognosis and immune microenvironment of clear cell renal cell carcinoma. Frontiers in Oncology. 12. 1079446–1079446. 2 indexed citations
12.
Xu, Wenhao, Aihetaimujiang Anwaier, Wangrui Liu, et al.. (2022). The unique genomic landscape and prognostic mutational signature of Chinese clear cell renal cell carcinoma. SHILAP Revista de lepidopterología. 2(3). 162–170. 10 indexed citations
13.
Xu, Wenhao, Aihetaimujiang Anwaier, Wangrui Liu, et al.. (2022). Genomic alteration of MTAP/CDKN2A predicts sarcomatoid differentiation and poor prognosis and modulates response to immune checkpoint blockade in renal cell carcinoma. Frontiers in Immunology. 13. 953721–953721. 13 indexed citations
14.
15.
Anwaier, Aihetaimujiang, Wenhao Xu, Xi Tian, et al.. (2022). ♣Evaluation of clinicopathological profiles and development of a risk model in renal epithelioid angiomyolipoma patients: a large-scale retrospective cohort study. BMC Urology. 22(1). 148–148. 4 indexed citations
16.
Su, Jiaqi, Xi Tian, Zihao Zhang, et al.. (2022). A novel amino acid metabolism-related gene risk signature for predicting prognosis in clear cell renal cell carcinoma. Frontiers in Oncology. 12. 1019949–1019949. 3 indexed citations
17.
Xu, Wenhao, Aihetaimujiang Anwaier, Wangrui Liu, et al.. (2022). Immunogenomic Characteristics of Cell-Death-Associated Genes with Prognostic Implications in Bladder Cancer. Frontiers in Immunology. 13. 909324–909324. 8 indexed citations
18.
Xu, Wenhao, Wenkai Zhu, Xi Tian, et al.. (2021). Integrative 5-Methylcytosine Modification Immunologically Reprograms Tumor Microenvironment Characterizations and Phenotypes of Clear Cell Renal Cell Carcinoma. Frontiers in Cell and Developmental Biology. 9. 772436–772436. 8 indexed citations
19.
Xu, Wenhao, Wenkai Zhu, Wangrui Liu, et al.. (2021). Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carcinoma. Frontiers in Immunology. 12. 734646–734646. 18 indexed citations
20.
Xu, Wenhao, Aihetaimujiang Anwaier, Chunguang Ma, et al.. (2021). Prognostic Immunophenotyping Clusters of Clear Cell Renal Cell Carcinoma Defined by the Unique Tumor Immune Microenvironment. Frontiers in Cell and Developmental Biology. 9. 785410–785410. 17 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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