Jianghua Wu

1.3k total citations
68 papers, 854 citations indexed

About

Jianghua Wu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Jianghua Wu has authored 68 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 19 papers in Pulmonary and Respiratory Medicine and 18 papers in Molecular Biology. Recurrent topics in Jianghua Wu's work include Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (9 papers) and Lung Cancer Treatments and Mutations (7 papers). Jianghua Wu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (9 papers) and Lung Cancer Treatments and Mutations (7 papers). Jianghua Wu collaborates with scholars based in China, United States and Ethiopia. Jianghua Wu's co-authors include Peter B. Corr, Heng Mei, Yu Hu, Dongmei Lin, Stephen L. Lipsius, Johan Vereecke, Edward Carmeliet, Jeffrey E. Saffitz, Jane McHowat and Kathryn A. Yamada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Circulation Research.

In The Last Decade

Jianghua Wu

65 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianghua Wu China 16 317 257 188 167 127 68 854
Huihua Li Singapore 20 285 0.9× 409 1.6× 255 1.4× 184 1.1× 39 0.3× 50 1.2k
Jiandong Zhang China 17 424 1.3× 258 1.0× 132 0.7× 343 2.1× 90 0.7× 79 1.1k
Bang-li Hu China 17 262 0.8× 252 1.0× 173 0.9× 171 1.0× 59 0.5× 63 866
Lei Nie China 16 225 0.7× 114 0.4× 104 0.6× 182 1.1× 108 0.9× 40 681
Dirk M. Wuttge Sweden 20 320 1.0× 167 0.6× 485 2.6× 238 1.4× 65 0.5× 37 1.2k
Liang Hong China 19 409 1.3× 157 0.6× 86 0.5× 214 1.3× 73 0.6× 61 979
John Hyngstrom United States 19 332 1.0× 811 3.2× 219 1.2× 181 1.1× 115 0.9× 68 1.3k
Parker C. Wilson United States 17 919 2.9× 125 0.5× 271 1.4× 202 1.2× 51 0.4× 35 1.7k

Countries citing papers authored by Jianghua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jianghua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianghua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianghua Wu. A scholar is included among the top collaborators of Jianghua Wu 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 Jianghua Wu. Jianghua Wu 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.
Chen, Zhaozhao, Yingying Li, Jianghua Wu, et al.. (2025). mRNA‐laden lipid nanoparticle‐enabled humanized CD19 CAR‐T‐cell engineering for the eradication of leukaemic cells. British Journal of Haematology. 206(2). 628–643. 13 indexed citations
2.
Zuo, Liping, Guangqi Wang, Qun Li, et al.. (2025). T Cells Dysfunction in Multiple Myeloma. ImmunoTargets and Therapy. Volume 14. 997–1014.
3.
Wang, Xindi, Wenjing Luo, Zhaozhao Chen, et al.. (2025). Co-expression of IL-15 and CCL21 strengthens CAR-NK cells to eliminate tumors in concert with T cells and equips them with PI3K/AKT/mTOR signal signature. Journal for ImmunoTherapy of Cancer. 13(6). e010822–e010822. 2 indexed citations
4.
Liu, Lanlan, Mei Zhou, Long Chen, et al.. (2025). Developmental immune network of airway lymphocytes and innate immune cells in patients with stable COPD. Frontiers in Immunology. 16. 1614655–1614655. 1 indexed citations
5.
Zhang, Yanhui, Baohui Ju, Run-Fen Cheng, Tingting Ding, & Jianghua Wu. (2024). PD-L1 expression and immune infiltration across molecular subtypes of endometrial cancer: An integrative-analysis of molecular classification and immune subtypes. Human Pathology. 154. 105704–105704. 1 indexed citations
6.
7.
Mei, Liye, Mengping Long, Jin Huang, et al.. (2024). Accurately matching serial whole slide images for tumor heterogeneity analysis. Biomedical Signal Processing and Control. 100. 106825–106825.
8.
Ju, Baohui, Jianghua Wu, Chunrui Yang, et al.. (2023). Molecular Classification of Endometrial Endometrioid Carcinoma With Microcystic Elongated and Fragmented Pattern. International Journal of Gynecological Pathology. 43(3). 233–241. 4 indexed citations
9.
Zhu, Yanli, Sheng Li, Haiyue Wang, et al.. (2023). Molecular subtypes, predictive markers and prognosis in small-cell lung carcinoma. Journal of Clinical Pathology. 78(1). 42–50. 7 indexed citations
10.
Wu, Jianghua, Wenjing Luo, Lu Tang, et al.. (2023). Dual Co-Stimulation with CD28 and ICOS Enhances T Cell Activation and Optimizes CAR-T Cell Antitumor Activity. Blood. 142(Supplement 1). 2061–2061. 1 indexed citations
11.
Wu, Jianghua, Jingpeng Zhang, Lu Tang, et al.. (2022). A multicompartment mathematical model based on host immunity for dissecting COVID-19 heterogeneity. Heliyon. 8(5). e09488–e09488. 8 indexed citations
12.
Wu, Jianghua, Wei Sun, Xiaodan Yang, et al.. (2021). FP07.03 Landscape Heterogeneity of PD-L1 Expression and Immune Cells Predicts Prognosis of Metastatic Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 16(3). S203–S204. 1 indexed citations
13.
Du, Mengyi, Heng Mei, Chenggong Li, et al.. (2021). Single-Cell Analyses Identify Transcriptional Characterizations of Subsets Associated with Efficacy and Toxicity for CAR-T Immunotherapy in B-ALL Patients. Blood. 138(Supplement 1). 4815–4815. 1 indexed citations
14.
Liu, Xinying, Wei Sun, Jianghua Wu, et al.. (2021). Major pathologic response assessment and clinical significance of metastatic lymph nodes after neoadjuvant therapy for non-small cell lung cancer. Modern Pathology. 34(11). 1990–1998. 18 indexed citations
15.
Tang, Lu, Jianghua Wu, Huiwen Jiang, et al.. (2020). Characterization of Immune Dysfunction and Identification of Prognostic Immune-Related Risk Factors in Acute Myeloid Leukemia. Clinical Cancer Research. 26(7). 1763–1772. 88 indexed citations
16.
Zhao, Jing, Fan Yang, Xi Wei, et al.. (2020). Ultrasound features value in the diagnosis and prognosis of medullary thyroid carcinoma. Endocrine. 72(3). 727–734. 10 indexed citations
17.
Lin, Dongmei, et al.. (2019). MA15.02 Deep Learning Approach for Automated Tumor Cells Detection and Estimation of PD-L1 22C3 Assay Expression in Lung Adenocarcinoma. Journal of Thoracic Oncology. 14(10). S309–S309. 1 indexed citations
18.
Ju, Baohui, Jianmei Wang, Bo Yang, et al.. (2017). Morphologic and Immunohistochemical Study of Clear Cell Carcinoma of the Uterine Endometrium and Cervix in Comparison to Ovarian Clear Cell Carcinoma. International Journal of Gynecological Pathology. 37(4). 388–396. 26 indexed citations
19.
Chen, Long, Gang Chen, Xian‐Zhi Xiong, et al.. (2016). Imbalance between subsets of CD8 + peripheral blood T cells in patients with chronic obstructive pulmonary disease. PeerJ. 4. e2301–e2301. 12 indexed citations
20.
Wang, Chong, et al.. (2014). Clinical characteristics and prognosis of primary pancreatic carcinoid tumors: A report of 13 cases from a single institution. Oncology Letters. 9(2). 780–784. 5 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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