Ruonan Jia

30 total papers · 1.2k total citations
26 papers, 1.0k citations indexed

About

Ruonan Jia is a scholar working on Materials Chemistry, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Ruonan Jia has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 10 papers in Biomedical Engineering and 7 papers in Polymers and Plastics. Recurrent topics in Ruonan Jia's work include Luminescence and Fluorescent Materials (6 papers), Carbon and Quantum Dots Applications (4 papers) and Conducting polymers and applications (4 papers). Ruonan Jia is often cited by papers focused on Luminescence and Fluorescent Materials (6 papers), Carbon and Quantum Dots Applications (4 papers) and Conducting polymers and applications (4 papers). Ruonan Jia collaborates with scholars based in China, Croatia and Australia. Ruonan Jia's co-authors include Jinming Zhang, Jun Zhang, Weiguo Tian, Shu Wang, Haotian Bai, Haq Nawaz, Zhangyan Chen, Kunfeng Jin, Tiantian Yang and Peng Xiao and has published in prestigious journals such as Nature Communications, ACS Nano and Advanced Functional Materials.

In The Last Decade

Ruonan Jia

24 papers receiving 1.0k citations

Hit Papers

Amine-responsive cellulos... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ruonan Jia 463 365 211 201 196 26 1.0k
Sirinan Kulchat 414 0.9× 244 0.7× 129 0.6× 207 1.0× 244 1.2× 37 993
Rayna Bryaskova 457 1.0× 288 0.8× 210 1.0× 144 0.7× 101 0.5× 35 1.0k
Xiaotong Fan 319 0.7× 465 1.3× 294 1.4× 131 0.7× 205 1.0× 49 1.1k
Pedro Vidinha 259 0.6× 299 0.8× 103 0.5× 214 1.1× 187 1.0× 50 947
Alireza Akbarinejad 205 0.4× 437 1.2× 133 0.6× 294 1.5× 125 0.6× 32 971
Musa Kamacı 240 0.5× 172 0.5× 230 1.1× 253 1.3× 133 0.7× 51 1.1k
Qun Song 347 0.7× 363 1.0× 185 0.9× 156 0.8× 93 0.5× 25 986
Jesús L. Pablos 229 0.5× 175 0.5× 230 1.1× 132 0.7× 74 0.4× 43 876
Gitanjali Majumdar 653 1.4× 209 0.6× 145 0.7× 147 0.7× 174 0.9× 17 920
Chunzhi Cui 190 0.4× 254 0.7× 191 0.9× 125 0.6× 169 0.9× 50 1.0k

Countries citing papers authored by Ruonan Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ruonan Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruonan Jia

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