Jiaqiang Ma

2.9k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Jiaqiang Ma is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Jiaqiang Ma has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Jiaqiang Ma's work include Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immunotherapy and Immune Responses (4 papers). Jiaqiang Ma is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immunotherapy and Immune Responses (4 papers). Jiaqiang Ma collaborates with scholars based in China, United States and Ethiopia. Jiaqiang Ma's co-authors include Qiang Gao, Xiaoming Zhang, Xiaoying Wang, Jia Fan, Shyamal Goswami, Jian Zhou, Lijie Ma, Meng Duan, Bohao Zheng and Cong Yan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Jiaqiang Ma

17 papers receiving 1.2k citations

Hit Papers

Lactylome analysis suggests lactylation-dependent mechani... 2023 2026 2024 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaqiang Ma China 13 494 447 431 294 208 18 1.2k
Yutaka Kurebayashi Japan 16 588 1.2× 401 0.9× 356 0.8× 249 0.8× 259 1.2× 42 1.3k
Lucy Ireland United Kingdom 10 408 0.8× 516 1.2× 353 0.8× 206 0.7× 138 0.7× 15 993
Jie-Yi Shi China 20 620 1.3× 725 1.6× 471 1.1× 306 1.0× 257 1.2× 31 1.6k
Yu Lou China 15 285 0.6× 416 0.9× 525 1.2× 403 1.4× 150 0.7× 28 1.1k
Hongyong He China 22 685 1.4× 784 1.8× 546 1.3× 262 0.9× 490 2.4× 63 1.7k
Jing-Jing Zhao China 25 786 1.6× 813 1.8× 448 1.0× 244 0.8× 154 0.7× 37 1.5k
Susumu Inamoto Japan 15 338 0.7× 601 1.3× 371 0.9× 253 0.9× 109 0.5× 32 1.1k
Qi‐Man Sun China 18 203 0.4× 298 0.7× 470 1.1× 397 1.4× 151 0.7× 37 1.0k
Tingguo Zhang China 26 178 0.4× 451 1.0× 626 1.5× 276 0.9× 361 1.7× 67 1.5k
Liu‐Xiao Yang China 25 148 0.3× 496 1.1× 538 1.2× 443 1.5× 186 0.9× 44 1.3k

Countries citing papers authored by Jiaqiang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jiaqiang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqiang Ma

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

All Works

18 of 18 papers shown
1.
Pan, Jiaomeng, Mao Zhang, Dongning Rao, et al.. (2025). CAD manipulates tumor intrinsic DHO/UBE4B/NF-κB pathway and fuels macrophage cross-talk, promoting HCC metastasis. Hepatology. 83(3). 451–465.
2.
Li, Jiaxin, Mao Zhang, Siyuan Huang, et al.. (2024). Multi-model analysis of gallbladder cancer reveals the role of OxLDL-absorbing neutrophils in promoting liver invasion. Experimental Hematology and Oncology. 13(1). 58–58. 6 indexed citations
3.
Ma, Jiaqiang, et al.. (2024). Unleashing the power of antigen-presenting neutrophils. Journal of Molecular Cell Biology. 16(6). 1 indexed citations
4.
Ma, Jiaqiang, Kai Zhu, Lei Yu, et al.. (2023). Spatial immunophenotypes predict clinical outcome in intrahepatic cholangiocarcinoma. JHEP Reports. 5(8). 100762–100762. 11 indexed citations
5.
Zhao, Yue, Jiaqiang Ma, Han Han, et al.. (2023). Elevated Mast Cell Abundance Is Associated with Enrichment of CCR2+ Cytotoxic T Cells and Favorable Prognosis in Lung Adenocarcinoma. Cancer Research. 83(16). 2690–2703. 20 indexed citations
6.
Yang, Zijian, Cong Yan, Jiaqiang Ma, et al.. (2023). Lactylome analysis suggests lactylation-dependent mechanisms of metabolic adaptation in hepatocellular carcinoma. Nature Metabolism. 5(1). 61–79. 354 indexed citations breakdown →
7.
Ye, Yan, Zechuan Chen, Shan Jiang, et al.. (2022). Single-cell profiling reveals distinct adaptive immune hallmarks in MDA5+ dermatomyositis with therapeutic implications. Nature Communications. 13(1). 6458–6458. 60 indexed citations
8.
Liu, Yuming, Zhuo Wang, Jiaqiang Ma, et al.. (2022). Multi-omics characterization reveals the pathogenesis of liver focal nodular hyperplasia. iScience. 25(9). 104921–104921. 2 indexed citations
9.
Chen, Zechuan, Huihui Xu, Ruixiu Zhang, et al.. (2022). Single-cell profiling reveals mechanisms of uncontrolled inflammation and glycolysis in decidual stromal cell subtypes in recurrent miscarriage. Human Reproduction. 38(1). 57–74. 23 indexed citations
10.
Ye, Yan, Xueliang Zhang, Teng Li, et al.. (2022). Two Distinct Immune Cell Signatures Predict the Clinical Outcomes in Patients With Amyopathic Dermatomyositis With Interstitial Lung Disease. Arthritis & Rheumatology. 74(11). 1822–1832. 25 indexed citations
11.
Ding, Guangyu, Jiaqiang Ma, Jing‐Ping Yun, et al.. (2021). Distribution and density of tertiary lymphoid structures predict clinical outcome in intrahepatic cholangiocarcinoma. Journal of Hepatology. 76(3). 608–618. 144 indexed citations
12.
Tian, Lingyu, Jiaqiang Ma, Lijie Ma, et al.. (2020). PD-1/PD-L1 expression profiles within intrahepatic cholangiocarcinoma predict clinical outcome. World Journal of Surgical Oncology. 18(1). 303–303. 36 indexed citations
13.
Zheng, Bohao, Jiaqiang Ma, Lingyu Tian, et al.. (2020). The distribution of immune cells within combined hepatocellular carcinoma and cholangiocarcinoma predicts clinical outcome. SHILAP Revista de lepidopterología. 10(1). 45–56. 28 indexed citations
14.
Duan, Meng, Shyamal Goswami, Jie-Yi Shi, et al.. (2019). Activated and Exhausted MAIT Cells Foster Disease Progression and Indicate Poor Outcome in Hepatocellular Carcinoma. Clinical Cancer Research. 25(11). 3304–3316. 114 indexed citations
15.
Zhang, Shuhao, Shyamal Goswami, Jiaqiang Ma, et al.. (2019). CD4+T Cell Subset Profiling in Biliary Atresia Reveals ICOS− Regulatory T Cells as a Favorable Prognostic Factor. Frontiers in Pediatrics. 7. 279–279. 13 indexed citations
16.
Yang, Huijuan, Shuang Ye, Shyamal Goswami, et al.. (2019). Highly immunosuppressive HLADRhi regulatory T cells are associated with unfavorable outcomes in cervical squamous cell carcinoma. International Journal of Cancer. 146(7). 1993–2006. 20 indexed citations
17.
Ma, Jiaqiang, Bohao Zheng, Shyamal Goswami, et al.. (2019). PD1Hi CD8+ T cells correlate with exhausted signature and poor clinical outcome in hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. 7(1). 331–331. 234 indexed citations
18.
Ma, Lijie, Shyamal Goswami, Jiaqiang Ma, et al.. (2019). Landscape of infiltrating B cells and their clinical significance in human hepatocellular carcinoma. OncoImmunology. 8(4). e1571388–e1571388. 115 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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