Haili Shi

34 total papers · 2.2k total citations
20 papers, 615 citations indexed

About

Haili Shi is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Haili Shi has authored 20 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 7 papers in Molecular Biology and 6 papers in Biomedical Engineering. Recurrent topics in Haili Shi's work include Nanoparticle-Based Drug Delivery (6 papers), Graphene and Nanomaterials Applications (4 papers) and Graphene research and applications (3 papers). Haili Shi is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Graphene and Nanomaterials Applications (4 papers) and Graphene research and applications (3 papers). Haili Shi collaborates with scholars based in China, United States and Netherlands. Haili Shi's co-authors include Shiping Yang, Huixia Wu, Yapei Wang, Xue Wang, He Hu, Jing Du, Yan Yang, Xiaoqing Jia, Jiamin Zhang and Hao Zhang and has published in prestigious journals such as Biomaterials, Carbon and Journal of Controlled Release.

In The Last Decade

Haili Shi

20 papers receiving 609 citations

Author Peers

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

Author Last Decade Papers Cites
Haili Shi 375 235 225 144 43 20 615
Surya P. Singh 175 0.5× 223 0.9× 154 0.7× 136 0.9× 49 1.1× 16 648
Abhishek Kumar Sharma 117 0.3× 228 1.0× 109 0.5× 95 0.7× 47 1.1× 26 677
Manimaran Vasanthan 240 0.6× 112 0.5× 237 1.1× 219 1.5× 29 0.7× 23 660
Roxana Yolanda Castillo-Acobo 214 0.6× 99 0.4× 194 0.9× 203 1.4× 22 0.5× 12 559
Poornima Budime Santhosh 199 0.5× 196 0.8× 212 0.9× 181 1.3× 37 0.9× 19 547
Mengli Ding 316 0.8× 307 1.3× 97 0.4× 159 1.1× 20 0.5× 14 647
Bo Wang 172 0.5× 100 0.4× 243 1.1× 140 1.0× 31 0.7× 18 497
Aili Zhang 186 0.5× 44 0.2× 209 0.9× 226 1.6× 23 0.5× 35 649
Tamilanban Thamaraikani 215 0.6× 99 0.4× 194 0.9× 218 1.5× 25 0.6× 17 587
Yanzhi Zhao 113 0.3× 129 0.5× 33 0.1× 134 0.9× 30 0.7× 51 543

Countries citing papers authored by Haili Shi

Since Specialization
Citations

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

Fields of papers citing papers by Haili Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haili Shi

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