Suhua Jiang

62 total papers · 584 total citations
31 papers, 470 citations indexed

About

Suhua Jiang is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Suhua Jiang has authored 31 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Biomedical Engineering and 6 papers in Plant Science. Recurrent topics in Suhua Jiang's work include Nanoplatforms for cancer theranostics (10 papers), Plant Reproductive Biology (6 papers) and Nanoparticle-Based Drug Delivery (4 papers). Suhua Jiang is often cited by papers focused on Nanoplatforms for cancer theranostics (10 papers), Plant Reproductive Biology (6 papers) and Nanoparticle-Based Drug Delivery (4 papers). Suhua Jiang collaborates with scholars based in China, United States and Philippines. Suhua Jiang's co-authors include Peiyuan Wang, Qiang Luo, Jinyan Lin, Xiaolong Liu, Wen Sun, Haina Tian, Lidan Hu, Yang Li, Xiaojun Peng and Jingfeng Liu and has published in prestigious journals such as The Science of The Total Environment, Chemical Engineering Journal and Nature Chemistry.

In The Last Decade

Suhua Jiang

27 papers receiving 462 citations

Hit Papers

In vivo metallophilic sel... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Suhua Jiang 230 166 109 106 62 31 470
Hongwu Du 174 0.8× 121 0.7× 132 1.2× 114 1.1× 70 1.1× 18 450
Krystal R. Fontenot 148 0.6× 106 0.6× 116 1.1× 171 1.6× 19 0.3× 25 480
Ruimin Long 222 1.0× 84 0.5× 130 1.2× 164 1.5× 20 0.3× 32 489
Francesca D’Autilia 105 0.5× 66 0.4× 146 1.3× 102 1.0× 46 0.7× 27 499
Da In Jeong 274 1.2× 81 0.5× 86 0.8× 211 2.0× 23 0.4× 27 526
Fan Wu 172 0.7× 167 1.0× 153 1.4× 49 0.5× 39 0.6× 21 451
Mengqi Jia 119 0.5× 43 0.3× 108 1.0× 106 1.0× 105 1.7× 26 467
Sixuan Zhang 77 0.3× 67 0.4× 162 1.5× 59 0.6× 42 0.7× 39 542
Ruiqi Liu 130 0.6× 42 0.3× 66 0.6× 185 1.7× 98 1.6× 30 449
Guan Wei 210 0.9× 100 0.6× 98 0.9× 63 0.6× 49 0.8× 31 480

Countries citing papers authored by Suhua Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Suhua Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhua Jiang

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