Hongwei Wu

65 total papers · 633 total citations
42 papers, 399 citations indexed

About

Hongwei Wu is a scholar working on Molecular Biology, Nephrology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hongwei Wu has authored 42 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Nephrology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hongwei Wu's work include Renal and related cancers (5 papers), Traditional Chinese Medicine Analysis (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Hongwei Wu is often cited by papers focused on Renal and related cancers (5 papers), Traditional Chinese Medicine Analysis (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Hongwei Wu collaborates with scholars based in China, Germany and United States. Hongwei Wu's co-authors include Lianghong Yin, Yong Dai, Donge Tang, Fanna Liu, Berthold Hocher, Yong-Ping Lu, Zeyu Zhang, Xinzhou Zhang, Zhihua Zheng and Yiqing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Hongwei Wu

38 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Hongwei Wu 147 75 73 67 52 42 399
Yasemin Usul Soyoral 76 0.5× 56 0.7× 134 1.8× 33 0.5× 63 1.2× 38 419
Hüseyin Beğenik 99 0.7× 50 0.7× 49 0.7× 44 0.7× 63 1.2× 30 371
Bing Wang 107 0.7× 38 0.5× 78 1.1× 52 0.8× 77 1.5× 42 372
Denisha Spires 144 1.0× 55 0.7× 135 1.8× 29 0.4× 43 0.8× 23 400
Yasser Mostafa Hafez 159 1.1× 85 1.1× 41 0.6× 39 0.6× 44 0.8× 28 415
J Martínek 123 0.8× 48 0.6× 23 0.3× 45 0.7× 44 0.8× 54 435
Türker Kutluay 88 0.6× 78 1.0× 32 0.4× 35 0.5× 86 1.7× 25 382
Ruhan Jia 146 1.0× 83 1.1× 116 1.6× 43 0.6× 37 0.7× 31 425
Jingjing Da 103 0.7× 30 0.4× 156 2.1× 31 0.5× 43 0.8× 47 419
Beata Marie Redublo Quinto 83 0.6× 78 1.0× 107 1.5× 29 0.4× 55 1.1× 33 357

Countries citing papers authored by Hongwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Wu. A scholar is included among the top collaborators of Hongwei 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 Hongwei Wu. Hongwei 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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