Qingling Feng

370 total papers · 18.7k total citations
323 papers, 15.4k citations indexed

About

Qingling Feng is a scholar working on Biomedical Engineering, Biomaterials and Materials Chemistry. According to data from OpenAlex, Qingling Feng has authored 323 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Biomedical Engineering, 152 papers in Biomaterials and 52 papers in Materials Chemistry. Recurrent topics in Qingling Feng's work include Bone Tissue Engineering Materials (169 papers), Calcium Carbonate Crystallization and Inhibition (52 papers) and Electrospun Nanofibers in Biomedical Applications (50 papers). Qingling Feng is often cited by papers focused on Bone Tissue Engineering Materials (169 papers), Calcium Carbonate Crystallization and Inhibition (52 papers) and Electrospun Nanofibers in Biomedical Applications (50 papers). Qingling Feng collaborates with scholars based in China, Germany and Japan. Qingling Feng's co-authors include F.Z. Cui, Jing Wu, Gaoqiang Chen, Fuzhai Cui, Xiaoming Li, Yubo Fan, Fumio Watari, Xujie Liu, Qianli Huang and Xufeng Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Qingling Feng

309 papers receiving 15.0k citations

Hit Papers

A mechanistic study of th... 2000 2026 2008 2017 2000 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Qingling Feng 8.9k 6.0k 4.5k 1.9k 1.3k 323 15.4k
Junzo Tanaka 6.9k 0.8× 5.3k 0.9× 2.9k 0.6× 2.2k 1.2× 933 0.7× 321 13.1k
Yingjun Wang 6.2k 0.7× 3.8k 0.6× 2.6k 0.6× 1.6k 0.8× 1.8k 1.4× 398 12.6k
Changsheng Liu 8.9k 1.0× 6.1k 1.0× 2.6k 0.6× 3.0k 1.6× 2.4k 2.0× 448 16.6k
Jie Weng 6.9k 0.8× 4.3k 0.7× 2.2k 0.5× 2.0k 1.0× 981 0.8× 386 11.3k
Xiong Lu 10.9k 1.2× 5.4k 0.9× 4.6k 1.0× 2.2k 1.1× 1.3k 1.1× 408 19.8k
Haobo Pan 6.6k 0.7× 3.0k 0.5× 2.7k 0.6× 2.1k 1.1× 1.3k 1.0× 220 10.8k
Yufang Zhu 7.5k 0.8× 3.8k 0.6× 5.5k 1.2× 833 0.4× 1.4k 1.1× 227 14.3k
Lobat Tayebi 6.4k 0.7× 4.1k 0.7× 3.2k 0.7× 1.4k 0.8× 1.6k 1.3× 388 12.6k
Kaili Lin 9.5k 1.1× 4.0k 0.7× 2.5k 0.5× 2.5k 1.3× 1.9k 1.5× 255 13.8k
Kwk Yeung 14.8k 1.7× 6.7k 1.1× 10.4k 2.3× 3.6k 1.9× 2.1k 1.7× 330 25.2k

Countries citing papers authored by Qingling Feng

Since Specialization
Citations

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

Fields of papers citing papers by Qingling Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingling Feng

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