Yingjie Wu

579 total citations
13 papers, 214 citations indexed

About

Yingjie Wu is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Yingjie Wu has authored 13 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Yingjie Wu's work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Bat Biology and Ecology Studies (2 papers). Yingjie Wu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Bat Biology and Ecology Studies (2 papers). Yingjie Wu collaborates with scholars based in China, United States and Hong Kong. Yingjie Wu's co-authors include Muhammad Jamal, Qiuping Zhang, Jiaxing Sun, Tian Xie, Xingruo Zeng, Xinran Li, Jingyuan Li, Shu‐Yuan Xiao, Zhiyong Peng and Huan Liu and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Medicine.

In The Last Decade

Yingjie Wu

12 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjie Wu China 7 93 60 57 40 33 13 214
Aiping Le China 9 134 1.4× 76 1.3× 85 1.5× 42 1.1× 39 1.2× 26 285
Zixi Hong China 6 137 1.5× 94 1.6× 88 1.5× 79 2.0× 59 1.8× 7 336
Guifen Shen China 8 131 1.4× 62 1.0× 65 1.1× 24 0.6× 15 0.5× 15 280
Xiaokai Feng China 7 65 0.7× 66 1.1× 36 0.6× 29 0.7× 65 2.0× 23 214
Gizem Alkurt Türkiye 8 90 1.0× 59 1.0× 23 0.4× 72 1.8× 18 0.5× 12 289
Cosmin Andrei Cismaru Romania 9 64 0.7× 88 1.5× 18 0.3× 32 0.8× 41 1.2× 37 251
Claire Tonry Ireland 9 66 0.7× 55 0.9× 12 0.2× 29 0.7× 36 1.1× 23 231
Gianmarco Lugli Italy 7 54 0.6× 87 1.4× 26 0.5× 20 0.5× 71 2.2× 13 211
Arun C. Habermann United States 3 66 0.7× 68 1.1× 25 0.4× 53 1.3× 12 0.4× 3 261
Yang Dongliang China 7 38 0.4× 72 1.2× 18 0.3× 24 0.6× 50 1.5× 11 157

Countries citing papers authored by Yingjie Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingjie Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjie Wu

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

All Works

13 of 13 papers shown
1.
Wu, Yingjie, et al.. (2024). The reverse TRBV30 gene of mammals: a defect or superiority in evolution?. BMC Genomics. 25(1). 705–705. 2 indexed citations
3.
Liu, Yunyun, et al.. (2024). Acupuncture therapies for relieving pain in pelvic inflammatory disease: A systematic review and meta-analysis. PLoS ONE. 19(1). e0292166–e0292166. 1 indexed citations
4.
Li, Jun, et al.. (2023). New insights into the germline genes and CDR3 repertoire of the TCRβ chain in Chiroptera. Frontiers in Immunology. 14. 1147859–1147859. 7 indexed citations
5.
Wu, Yingjie, et al.. (2021). Autologous Fat Transplantation for Aesthetic Breast Augmentation: A Systematic Review and Meta-Analysis. Aesthetic Surgery Journal. 41(6). NP402–NP429. 9 indexed citations
6.
Sun, Jiaxing, Tian Xie, Muhammad Jamal, et al.. (2020). CLEC3B as a potential diagnostic and prognostic biomarker in lung cancer and association with the immune microenvironment. Cancer Cell International. 20(1). 106–106. 38 indexed citations
7.
Tian, Sufang, Huan Liu, Meiyan Liao, et al.. (2020). Analysis of Mortality in Patients With COVID-19: Clinical and Laboratory Parameters. Open Forum Infectious Diseases. 7(5). ofaa152–ofaa152. 24 indexed citations
8.
Wu, Yingjie, Wei Guo, Huan Liu, et al.. (2020). Clinical outcomes of 402 patients with COVID‐2019 from a single center in Wuhan, China. Journal of Medical Virology. 92(11). 2751–2757. 25 indexed citations
9.
Hu, Feng, et al.. (2020). Prior knee arthroscopy effects on subsequent total knee arthroplasty. Medicine. 99(17). e19844–e19844. 2 indexed citations
10.
Wu, Yingjie, Jiaxing Sun, Tian Xie, et al.. (2020). Clinical Characteristics and Immune Injury Mechanisms in 71 Patients with COVID-19. mSphere. 5(4). 61 indexed citations
11.
Wu, Yingjie, Muhammad Jamal, Tian Xie, et al.. (2019). Uridine‐cytidine kinase 2 (UCK2): A potential diagnostic and prognostic biomarker for lung cancer. Cancer Science. 110(9). 2734–2747. 40 indexed citations
12.
13.
Wang, Haiyan, Xiao‐Feng Zhu, Limin Wang, et al.. (2008). [Brain-derived neurotrophic factor and neural stem cells transplantation in treatment of hypoxic-ischemic brain injury in rats].. PubMed. 46(7). 544–9. 2 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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