Wanli Jiang

1.8k total citations
63 papers, 1.1k citations indexed

About

Wanli Jiang is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wanli Jiang has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Surgery and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wanli Jiang's work include COVID-19 Clinical Research Studies (7 papers), Aortic Disease and Treatment Approaches (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Wanli Jiang is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), Aortic Disease and Treatment Approaches (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Wanli Jiang collaborates with scholars based in China, United States and Belarus. Wanli Jiang's co-authors include Xiao Hu, Hongbing Wu, Zheng Tang, Jiakuan Chen, Ming Mao, Jinping Zhao, Zhiwei Wang, Ganjun Kang, Songping Xie and Zhipeng Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Wanli Jiang

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanli Jiang China 18 502 321 258 146 139 63 1.1k
Haiqing Li China 21 389 0.8× 276 0.9× 166 0.6× 176 1.2× 73 0.5× 81 1.2k
Ni Zeng China 19 451 0.9× 295 0.9× 262 1.0× 109 0.7× 104 0.7× 59 1.0k
Xiaogang Li China 19 499 1.0× 117 0.4× 298 1.2× 204 1.4× 217 1.6× 73 1.2k
Guannan Wu China 19 521 1.0× 209 0.7× 339 1.3× 142 1.0× 119 0.9× 52 1.1k
Jianhua Xu China 21 389 0.8× 222 0.7× 175 0.7× 189 1.3× 117 0.8× 94 1.2k
Rui Zhu China 22 484 1.0× 121 0.4× 156 0.6× 143 1.0× 181 1.3× 63 1.2k
Shariq Abid France 19 448 0.9× 819 2.6× 173 0.7× 131 0.9× 109 0.8× 33 1.4k
Xiaoqiong Gu China 16 522 1.0× 270 0.8× 301 1.2× 221 1.5× 83 0.6× 72 1.2k
Chandra C. Ghosh United States 18 557 1.1× 167 0.5× 182 0.7× 172 1.2× 207 1.5× 47 1.3k
Yanling Lv China 18 590 1.2× 197 0.6× 306 1.2× 64 0.4× 107 0.8× 62 1.2k

Countries citing papers authored by Wanli Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Wanli Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanli Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Wanli Jiang. A scholar is included among the top collaborators of Wanli 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 Wanli Jiang. Wanli 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.
Liu, Huixia, Tao He, Wanli Jiang, et al.. (2024). MEGF9 prevents lipopolysaccharide-induced cardiac dysfunction through activating AMPK pathway. Redox Report. 30(1). 2435252–2435252. 2 indexed citations
2.
Wang, Jinchao, Guangchuan Wang, Wanli Jiang, et al.. (2023). Hepatocyte-derived exosomes deliver H2AFJ to hepatic stellate cells and promote liver fibrosis via the MAPK/STMN1 axis activation. International Immunopharmacology. 115. 109605–109605. 9 indexed citations
3.
Jiang, Wanli, et al.. (2023). Apelin-13: A Protective Role in Vascular Diseases. Current Problems in Cardiology. 49(1). 102088–102088. 10 indexed citations
4.
Jiang, Wanli, et al.. (2023). The Potential Relationship Between Cardiovascular Diseases and Monkeypox. Current Problems in Cardiology. 49(1). 102116–102116.
5.
Jiang, Wanli, et al.. (2023). A new perspective on the current and future development potential of ABCG1. Current Problems in Cardiology. 49(1). 102161–102161. 4 indexed citations
6.
Peng, Wei, et al.. (2021). Ultradense Erythrocyte Bionic Layer Used to Capture Circulating Tumor Cells and Plasma-Assisted High-Purity Release. ACS Applied Materials & Interfaces. 13(21). 24543–24552. 14 indexed citations
7.
Wang, Yuhong, Wanli Jiang, Zhihao Liu, et al.. (2021). Sympathetic Nervous System Mediates Cardiac Remodeling After Myocardial Infarction in a Circadian Disruption Model. Frontiers in Cardiovascular Medicine. 8. 668387–668387. 26 indexed citations
8.
Zeng, Zhi, Li Xu, Xiaoyu Xie, et al.. (2020). Pulmonary pathology of early‐phase COVID‐19 pneumonia in a patient with a benign lung lesion. Histopathology. 77(5). 823–831. 62 indexed citations
9.
Jiang, Wanli, et al.. (2020). CTRP1 prevents sepsis-induced cardiomyopathy via Sirt1-dependent pathways. Free Radical Biology and Medicine. 152. 810–820. 17 indexed citations
10.
Wang, Limei, Jin Li, Garrett Kinnebrew, et al.. (2019). Identification of Alternatively-Activated Pathways between Primary Breast Cancer and Liver Metastatic Cancer Using Microarray Data. Genes. 10(10). 753–753. 11 indexed citations
11.
Cao, Yu, et al.. (2019). Knockdown of Sfrp4 attenuates apoptosis to protect against myocardial ischemia/reperfusion injury. Journal of Pharmacological Sciences. 140(1). 14–19. 29 indexed citations
12.
Jiang, Wanli, Zhiwei Wang, Zhipeng Hu, et al.. (2017). Blocking the ERK1/2 signal pathway can inhibit S100A12 induced human aortic smooth muscle cells damage. Cell Biology International. 41(12). 1307–1315. 6 indexed citations
13.
Huang, Jizhen, Zhiwei Wang, Zhipeng Hu, Wanli Jiang, & Bowen Li. (2017). Association between blood vitamin D and myocardial infarction: A meta-analysis including observational studies. Clinica Chimica Acta. 471. 270–275. 27 indexed citations
14.
Liu, Bin, Bo Pang, Pengbo Guo, et al.. (2017). Overexpression of NIMA-related kinase 2 is associated with poor prognoses in malignant glioma. Journal of Neuro-Oncology. 132(3). 409–417. 23 indexed citations
15.
Jiang, Wanli, et al.. (2014). Clinical value of early serum procalcitonin, C-reactive protein and brain natriuretic peptide on prognosis of patients with sepsis. Jiefangjun yixue zazhi. 39(7). 542–545. 1 indexed citations
16.
Ren, Zong-Li, Zhiwei Wang, Rui Hu, et al.. (2014). Which cannulation (axillary cannulation or femoral cannulation) is better for acute type A aortic dissection repair? A meta-analysis of nine clinical studies. European Journal of Cardio-Thoracic Surgery. 47(3). 408–415. 50 indexed citations
17.
Jiang, Wanli, Zhiwei Wang, Zhipeng Hu, et al.. (2014). Highly Expressed S100A12 in Aortic Wall of Patients with DeBakey Type I Aortic Dissection Could be a Promising Marker to Predict Perioperative Complications. Annals of Vascular Surgery. 28(6). 1556–1562. 6 indexed citations
18.
19.
Liang, Changhu, et al.. (2013). CT imaging with fistulography for perianal fistula: does it really help the surgeon?. Clinical Imaging. 37(6). 1069–1076. 17 indexed citations
20.
Yan, Jun, Yanlin Yu, Nan Wang, et al.. (2004). LFIRE-1/HFREP-1, a liver-specific gene, is frequently downregulated and has growth suppressor activity in hepatocellular carcinoma. Oncogene. 23(10). 1939–1949. 52 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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