Wenna Jiang

722 total citations
23 papers, 400 citations indexed

About

Wenna Jiang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Wenna Jiang has authored 23 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Wenna Jiang's work include Pancreatic and Hepatic Oncology Research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Phagocytosis and Immune Regulation (4 papers). Wenna Jiang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Phagocytosis and Immune Regulation (4 papers). Wenna Jiang collaborates with scholars based in China, United States and Australia. Wenna Jiang's co-authors include Chongbiao Huang, Weiwei Bai, Tiansuo Zhao, Jihui Hao, Kaili Zhao, Xiuchao Wang, He Ren, Zengxun Li, Yu Xu and Jie Dong and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Wenna Jiang

22 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenna Jiang China 12 201 169 124 124 56 23 400
Agnes Csiszar Austria 8 205 1.0× 227 1.3× 108 0.9× 92 0.7× 44 0.8× 12 428
Jian Yuan Goh Singapore 8 164 0.8× 118 0.7× 120 1.0× 117 0.9× 56 1.0× 14 340
Xiaohua Jie China 12 300 1.5× 168 1.0× 128 1.0× 110 0.9× 64 1.1× 17 474
Camilla Avivi Israel 5 242 1.2× 218 1.3× 68 0.5× 138 1.1× 41 0.7× 6 409
Jaebeom Cho South Korea 11 172 0.9× 153 0.9× 155 1.3× 74 0.6× 43 0.8× 15 387
Ruiqing Peng China 12 293 1.5× 160 0.9× 99 0.8× 183 1.5× 79 1.4× 27 503
Lingqiang Min China 10 227 1.1× 112 0.7× 63 0.5× 116 0.9× 61 1.1× 16 354
Funmilayo O. Adeshakin China 8 212 1.1× 138 0.8× 130 1.0× 122 1.0× 72 1.3× 18 387
Haley L. Peters United States 10 174 0.9× 175 1.0× 112 0.9× 81 0.7× 49 0.9× 11 381
Zhengbiao Zhu China 3 203 1.0× 109 0.6× 101 0.8× 177 1.4× 48 0.9× 3 367

Countries citing papers authored by Wenna Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Wenna Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenna Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenna Jiang. A scholar is included among the top collaborators of Wenna 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 Wenna Jiang. Wenna 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.
Jiang, Wenna, Meng Wang, Jiayi Wang, et al.. (2025). β-Hydroxybutyrate promotes cancer metastasis through β-hydroxybutyrylation-dependent stabilization of Snail. Nature Communications. 16(1). 6592–6592. 3 indexed citations
3.
Jiang, Wenna, Lin Liu, Meng Wang, et al.. (2024). KLF15 suppresses stemness of pancreatic cancer by decreasing USP21-mediated Nanog stability. Cellular and Molecular Life Sciences. 81(1). 417–417. 2 indexed citations
4.
Bai, Changsen, et al.. (2024). Relative contribution of hepatitis B and C viruses in primary liver cancer in China: A systematic review and meta-analysis. Journal of Infection. 89(6). 106298–106298. 6 indexed citations
5.
Sun, Hongxia, Ranran Sun, Dawei Yang, et al.. (2024). A Cyanine Dye for Highly Specific Recognition of Parallel G-Quadruplex Topology and Its Application in Clinical RNA Detection for Cancer Diagnosis. Journal of the American Chemical Society. 146(32). 22736–22746. 11 indexed citations
6.
Xie, Yongjie, Tianxing Zhou, Xueyang Li, et al.. (2024). Targeting ESE3/EHF With Nifurtimox Inhibits CXCR2+ Neutrophil Infiltration and Overcomes Pancreatic Cancer Resistance to Chemotherapy and Immunotherapy. Gastroenterology. 167(2). 281–297. 18 indexed citations
7.
Song, Jiayin, Yue Wei, Dong Dong, et al.. (2024). CDH3 Is an Effective Serum Biomarker of Colorectal Cancer Distant Metastasis Patients. Journal of Cancer. 15(16). 5218–5229. 2 indexed citations
8.
Jiang, Wenna, et al.. (2023). Loss of BCAA catabolism enhances Rab1A-mTORC1 signaling activity and promotes tumor proliferation in NSCLC. Translational Oncology. 34. 101696–101696. 11 indexed citations
9.
Li, Zengxun, Lei Zhu, Zheng Han, et al.. (2022). Serum IL‐35 levels is a new candidate biomarker of cancer‐related cachexia in stage IV non‐small cell lung cancer. Thoracic Cancer. 13(5). 716–723. 9 indexed citations
10.
Han, Yawei, et al.. (2022). Serum long non-coding RNA SCARNA10 serves as a potential diagnostic biomarker for hepatocellular carcinoma. BMC Cancer. 22(1). 431–431. 17 indexed citations
11.
Yu, Jin, et al.. (2022). Two effective models based on comprehensive lipidomics and metabolomics can distinguish BC versus HCs, and TNBC versus non‐TNBC. PROTEOMICS - CLINICAL APPLICATIONS. 17(3). e2200042–e2200042. 4 indexed citations
12.
Zhou, Tianxing, Jing Liu, Yongjie Xie, et al.. (2021). ESE3/EHF, a promising target of rosiglitazone, suppresses pancreatic cancer stemness by downregulating CXCR4. Gut. 71(2). 357–371. 33 indexed citations
13.
Zuo, Duo, Yongzi Chen, Xinwei Zhang, et al.. (2021). Identification of hub genes and their novel diagnostic and prognostic significance in pancreatic adenocarcinoma. Cancer Biology and Medicine. 19(7). 1029–1046. 8 indexed citations
14.
Wang, Yanhui, Wenna Jiang, Duo Zuo, et al.. (2021). BCKDK alters the metabolism of non-small cell lung cancer. Translational Lung Cancer Research. 10(12). 4459–4476. 28 indexed citations
15.
Jiang, Wenna, et al.. (2021). Pancreatic stellate cells regulate branched-chain amino acid metabolism in pancreatic cancer. Annals of Translational Medicine. 9(5). 417–417. 12 indexed citations
16.
Jiang, Wenna, Lu Qiao, Duo Zuo, et al.. (2021). Aberrant lactate dehydrogenase A signaling contributes metabolic signatures in pancreatic cancer. Annals of Translational Medicine. 9(4). 358–358. 9 indexed citations
17.
Jiang, Wenna, Weiwei Bai, Jianhua Li, et al.. (2020). Leukemia inhibitory factor is a novel biomarker to predict lymph node and distant metastasis in pancreatic cancer. International Journal of Cancer. 148(4). 1006–1013. 17 indexed citations
18.
Liu, Jing, Wenna Jiang, Kaili Zhao, et al.. (2019). Tumoral EHF predicts the efficacy of anti-PD1 therapy in pancreatic ductal adenocarcinoma. The Journal of Experimental Medicine. 216(3). 656–673. 34 indexed citations
19.
Yang, Yanfang, Hongwei Wang, Bin Wang, et al.. (2018). Syntenin1/MDA-9 (SDCBP) induces immune evasion in triple-negative breast cancer by upregulating PD-L1. Breast Cancer Research and Treatment. 171(2). 345–357. 31 indexed citations
20.
Zhao, Tiansuo, Wenna Jiang, Xiuchao Wang, et al.. (2016). ESE3 Inhibits Pancreatic Cancer Metastasis by Upregulating E-Cadherin. Cancer Research. 77(4). 874–885. 45 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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