Shengnan Ma

47 total papers · 776 total citations
38 papers, 563 citations indexed

About

Shengnan Ma is a scholar working on Molecular Biology, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, Shengnan Ma has authored 38 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Polymers and Plastics and 8 papers in Biomedical Engineering. Recurrent topics in Shengnan Ma's work include RNA Interference and Gene Delivery (9 papers), Nanoplatforms for cancer theranostics (6 papers) and Dendrimers and Hyperbranched Polymers (5 papers). Shengnan Ma is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Nanoplatforms for cancer theranostics (6 papers) and Dendrimers and Hyperbranched Polymers (5 papers). Shengnan Ma collaborates with scholars based in China, Hong Kong and United Kingdom. Shengnan Ma's co-authors include Yiyan He, Zhongwei Gu, Jie Zhou, Zhicai Yu, Jinru Liu, Hualing He, Xianghui Xu, Yuxin Zhang, Jun Yang and Bo Yang and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Carbohydrate Polymers.

In The Last Decade

Shengnan Ma

37 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
Shengnan Ma 214 151 148 93 72 38 563
Yingchao Ma 257 1.2× 149 1.0× 60 0.4× 83 0.9× 101 1.4× 32 697
Min Hwan Kim 130 0.6× 68 0.5× 102 0.7× 55 0.6× 79 1.1× 32 513
Liming Cheng 321 1.5× 146 1.0× 204 1.4× 70 0.8× 232 3.2× 29 679
Dongdong Xu 189 0.9× 165 1.1× 146 1.0× 112 1.2× 125 1.7× 57 655
Li Wang 226 1.1× 138 0.9× 246 1.7× 63 0.7× 87 1.2× 32 666
Xinyu Hou 168 0.8× 132 0.9× 125 0.8× 16 0.2× 114 1.6× 66 623
Xixi Wu 210 1.0× 171 1.1× 112 0.8× 17 0.2× 108 1.5× 37 633
Anu Sharma 127 0.6× 143 0.9× 64 0.4× 44 0.5× 105 1.5× 48 653
Yuichi Hirata 161 0.8× 97 0.6× 138 0.9× 130 1.4× 108 1.5× 37 680
Diana Savu 242 1.1× 143 0.9× 197 1.3× 29 0.3× 135 1.9× 53 621

Countries citing papers authored by Shengnan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shengnan Ma. A scholar is included among the top collaborators of Shengnan Ma 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 Shengnan Ma. Shengnan Ma 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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2026