Jianyong Wu

1.5k total citations
90 papers, 1.0k citations indexed

About

Jianyong Wu is a scholar working on Transplantation, Surgery and Epidemiology. According to data from OpenAlex, Jianyong Wu has authored 90 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Transplantation, 29 papers in Surgery and 16 papers in Epidemiology. Recurrent topics in Jianyong Wu's work include Renal Transplantation Outcomes and Treatments (39 papers), Organ Transplantation Techniques and Outcomes (15 papers) and Organ Donation and Transplantation (10 papers). Jianyong Wu is often cited by papers focused on Renal Transplantation Outcomes and Treatments (39 papers), Organ Transplantation Techniques and Outcomes (15 papers) and Organ Donation and Transplantation (10 papers). Jianyong Wu collaborates with scholars based in China, United States and Madagascar. Jianyong Wu's co-authors include Jianghua Chen, Yan Song, Zhangfei Shou, Hongfeng Huang, Jianghua Chen, Heng Li, Guangjun Liu, Rending Wang, Huiping Wang and Qiang He and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Scientific Reports.

In The Last Decade

Jianyong Wu

84 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianyong Wu China 17 286 279 250 153 148 90 1.0k
Ana Konvalinka Canada 20 261 0.9× 383 1.4× 149 0.6× 250 1.6× 228 1.5× 43 1.2k
Jacques Sennesael Belgium 13 296 1.0× 189 0.7× 153 0.6× 112 0.7× 172 1.2× 43 836
Juan Manuel Díaz Spain 19 257 0.9× 246 0.9× 146 0.6× 75 0.5× 97 0.7× 50 744
A. Barrientos Spain 18 296 1.0× 247 0.9× 133 0.5× 83 0.5× 177 1.2× 73 863
In O Sun South Korea 19 186 0.7× 183 0.7× 105 0.4× 228 1.5× 331 2.2× 75 969
Hessel Peters‐Sengers Netherlands 16 197 0.7× 200 0.7× 121 0.5× 141 0.9× 112 0.8× 54 735
Minoru Ando Japan 25 101 0.4× 265 0.9× 219 0.9× 283 1.8× 387 2.6× 99 1.6k
Andreas Kahl Germany 18 792 2.8× 770 2.8× 245 1.0× 112 0.7× 178 1.2× 62 1.6k
Andrew K. Trull United Kingdom 23 401 1.4× 379 1.4× 323 1.3× 240 1.6× 32 0.2× 53 1.4k
Ming‐Che Lee Taiwan 21 49 0.2× 479 1.7× 245 1.0× 281 1.8× 96 0.6× 104 1.4k

Countries citing papers authored by Jianyong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jianyong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyong Wu. A scholar is included among the top collaborators of Jianyong 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 Jianyong Wu. Jianyong 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.
Cheng, Yamei, Xingxia Wang, Xue Ren, et al.. (2023). Clinical phenotypes and prognosis of IgG4-related diseases accompanied by deteriorated kidney function: a retrospective study. Clinical Rheumatology. 43(1). 315–324.
2.
Wang, Meifang, et al.. (2023). Postreperfusion Renal Allograft Biopsy Predicts Outcome of Single-Kidney Transplantation: A 10-Year Observational Study in China. Kidney International Reports. 9(1). 96–107. 1 indexed citations
3.
Wu, Jianyong, et al.. (2022). Poor Compliance Causes Acute Rejection in Kidney Transplant Recipients During COVID-19 Pandemic: 2 Cases Report. SHILAP Revista de lepidopterología.
4.
Zhu, Zhiqiang, Jianyong Wu, Wenzi Bi, et al.. (2021). Evolutionary Analysis of Pre-S/S Mutations in HBeAg-Negative Chronic Hepatitis B With HBsAg < 100 IU/ml. Frontiers in Public Health. 9. 633792–633792. 5 indexed citations
5.
Zhang, Xing, et al.. (2021). Early perioperative fluid overload is associated with adverse outcomes in deceased donor kidney transplantation. Transplant International. 34(10). 1862–1874. 7 indexed citations
6.
Shen, Jia, Jingyi Zhou, Qin Zhou, et al.. (2020). Prognostic value of the donor‐derived cell‐free DNA assay in acute renal rejection therapy: A prospective cohort study. Clinical Transplantation. 34(10). e14053–e14053. 23 indexed citations
7.
Ruan, Zhi, Jianyong Wu, Hangfei Chen, et al.. (2020). <p>Hybrid Genome Assembly and Annotation of a Pandrug-Resistant <em>Klebsiella pneumoniae</em> Strain Using Nanopore and Illumina Sequencing</p>. Infection and Drug Resistance. Volume 13. 199–206. 27 indexed citations
8.
9.
Song, Yan, Li Zhang, Guangjun Liu, et al.. (2018). Nontuberculous mycobacteriuminfection in renal transplant recipients: a systematic review. Infectious Diseases. 50(6). 409–416. 16 indexed citations
10.
Liu, Guangjun, et al.. (2017). Statin-induced rhabdomyolysis in renal transplant recipients: two cases reports. 38(1). 15–17. 1 indexed citations
11.
Jiang, Hong, et al.. (2017). Noninvasive detection of acute renal allograft rejection by measurement of soluble Tim-3 in urine. Molecular Medicine Reports. 16(1). 915–921. 9 indexed citations
12.
Cheng, Jianhui, et al.. (2015). Effect of light quality selective plastic films on anthocyanin biosynthesis in Vitis vinifera L. cv. Yatomi Rosa.. Journal of Agricultural Science and Technology. 17(1). 157–166. 15 indexed citations
13.
Wang, Aihua, et al.. (2015). Business and biodiversity: a review of the negotiation progress of a new issue under the Convention on Biological Diversity. Biodiversity Science. 23(5). 689–694. 1 indexed citations
14.
Jiang, Hong, Rongjun Chen, Shi Feng, et al.. (2014). Protective effect of indomethacin in renal ischemia-reperfusion injury in mice. Journal of Zhejiang University SCIENCE B. 15(8). 735–742. 12 indexed citations
15.
Huang, Hongfeng, et al.. (2014). [Early conversion from calcineurin inhibitor to sirolimusto after renal transplantation:a prospective, open-label and non-randomized control study].. PubMed. 94(42). 3293–7. 1 indexed citations
16.
Han, Fei, Jianyong Wu, Hongfeng Huang, et al.. (2011). Conversion from cyclosporine to sirolimus in chronic renal allograft dysfunction: a 4-year prospective study.. PubMed. 9(1). 42–9. 6 indexed citations
17.
Wang, Minmin, Jin Qiu, Hai‐Yan Tu, et al.. (2011). Detection of renal allograft dysfunction with characteristic protein fingerprint by serum proteomic analysis. International Urology and Nephrology. 43(4). 1009–1017. 5 indexed citations
18.
19.
Chen, Jianghua, et al.. (2006). Clinical significance of protocol biopsy at one month posttransplantation in deceased-donor renal transplantation. Transplant Immunology. 17(3). 211–214. 14 indexed citations
20.
Wu, Jianyong, et al.. (1993). Rapamycin reverses acute heart, kidney, and pancreas allograft rejection and prevents accelerated heart allograft rejection in the rat.. PubMed. 25(1 Pt 1). 719–20. 4 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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