Linhua Wu

66 total papers · 844 total citations
36 papers, 697 citations indexed

About

Linhua Wu is a scholar working on Pharmaceutical Science, Pharmacology and Oncology. According to data from OpenAlex, Linhua Wu has authored 36 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmaceutical Science, 6 papers in Pharmacology and 5 papers in Oncology. Recurrent topics in Linhua Wu's work include Advanced Drug Delivery Systems (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Linhua Wu is often cited by papers focused on Advanced Drug Delivery Systems (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Linhua Wu collaborates with scholars based in China, Singapore and Ivory Coast. Linhua Wu's co-authors include Jingling Tang, Hongyu Ji, Nannan Zheng, Mengting Li, Hong Yu, Di Dong, Hongmei, Bing Shao, Yi-Ming Hu and Na Na and has published in prestigious journals such as PLANT PHYSIOLOGY, International Journal of Pharmaceutics and International Journal of Nanomedicine.

In The Last Decade

Linhua Wu

34 papers receiving 679 citations

Author Peers

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

Author Last Decade Papers Cites
Linhua Wu 194 186 129 112 109 36 697
Emmanuel Omari‐Siaw 203 1.0× 179 1.0× 143 1.1× 76 0.7× 82 0.8× 24 696
Darshan R. Telange 171 0.9× 177 1.0× 75 0.6× 122 1.1× 59 0.5× 37 705
Ehab M. Elzayat 133 0.7× 317 1.7× 119 0.9× 91 0.8× 49 0.4× 40 764
Fhataheya Buang 169 0.9× 137 0.7× 68 0.5× 84 0.8× 79 0.7× 26 696
Li Liu 218 1.1× 166 0.9× 86 0.7× 46 0.4× 75 0.7× 29 723
Mingfang Wu 150 0.8× 111 0.6× 67 0.5× 82 0.7× 46 0.4× 27 565
Suresh G. Killedar 135 0.7× 119 0.6× 55 0.4× 110 1.0× 66 0.6× 52 566
Waleed S. Alharbi 153 0.8× 214 1.2× 41 0.3× 80 0.7× 70 0.6× 35 595
NA Aleykutty 177 0.9× 244 1.3× 47 0.4× 94 0.8× 62 0.6× 28 663
Т. Г. Толстикова 193 1.0× 106 0.6× 178 1.4× 51 0.5× 61 0.6× 66 618

Countries citing papers authored by Linhua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Linhua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linhua Wu

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