Jingkui Wu

18 total papers · 968 total citations
16 papers, 704 citations indexed

About

Jingkui Wu is a scholar working on Molecular Biology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Jingkui Wu has authored 16 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Nephrology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jingkui Wu's work include Acute Kidney Injury Research (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Jingkui Wu is often cited by papers focused on Acute Kidney Injury Research (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Jingkui Wu collaborates with scholars based in China. Jingkui Wu's co-authors include Zhaohui Ni, Xinghua Shao, Qisheng Lin, Xuying Zhu, Wenyan Zhou, Minfang Zhang, Jianxiao Shen, Haijiao Jin, S. Li and Leyi Gu and has published in prestigious journals such as Free Radical Biology and Medicine, Cellular and Molecular Life Sciences and Autophagy.

In The Last Decade

Jingkui Wu

16 papers receiving 699 citations

Hit Papers

Inhibiting NLRP3 inflamma... 2020 2026 2022 2024 2020 2023 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jingkui Wu 388 184 174 147 117 16 704
Xuying Zhu 359 0.9× 189 1.0× 168 1.0× 144 1.0× 114 1.0× 13 658
Pablo Cannata 370 1.0× 179 1.0× 93 0.5× 216 1.5× 138 1.2× 14 865
Tomohito Doke 415 1.1× 320 1.7× 138 0.8× 123 0.8× 107 0.9× 24 901
Zhengwei Ma 345 0.9× 182 1.0× 118 0.7× 68 0.5× 116 1.0× 17 691
Danyi Yang 256 0.7× 327 1.8× 161 0.9× 76 0.5× 110 0.9× 28 708
Dhanunjay Mukhi 363 0.9× 291 1.6× 135 0.8× 94 0.6× 96 0.8× 27 825
Xiuchen Xuan 470 1.2× 84 0.5× 106 0.6× 112 0.8× 94 0.8× 11 759
H. Wu 333 0.9× 226 1.2× 242 1.4× 73 0.5× 55 0.5× 24 809
Shanliang Li 549 1.4× 86 0.5× 117 0.7× 116 0.8× 75 0.6× 19 893
Diana Zepeda‐Orozco 407 1.0× 259 1.4× 107 0.6× 121 0.8× 80 0.7× 30 891

Countries citing papers authored by Jingkui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingkui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingkui Wu

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

All Works

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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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