Nini Xin

16 total papers · 550 total citations
16 papers, 451 citations indexed

About

Nini Xin is a scholar working on Biomedical Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nini Xin has authored 16 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 8 papers in Materials Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nini Xin's work include Nanoplatforms for cancer theranostics (5 papers), Carbon and Quantum Dots Applications (4 papers) and Advanced Nanomaterials in Catalysis (3 papers). Nini Xin is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Carbon and Quantum Dots Applications (4 papers) and Advanced Nanomaterials in Catalysis (3 papers). Nini Xin collaborates with scholars based in China, Singapore and Hong Kong. Nini Xin's co-authors include Hongsong Fan, Dan Wei, Suping Chen, Zi Qiao, Yuda Zhu, Jing Sun, Chengheng Wu, Jing Sun, Yusheng Zhang and Xiaoyin Liu and has published in prestigious journals such as Advanced Functional Materials, Carbon and ACS Applied Materials & Interfaces.

In The Last Decade

Nini Xin

16 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Nini Xin 253 198 103 84 83 16 451
Zi Qiao 325 1.3× 112 0.6× 146 1.4× 50 0.6× 117 1.4× 16 493
Ankshita Prasad 174 0.7× 143 0.7× 97 0.9× 116 1.4× 115 1.4× 13 548
Shiyu Chen 156 0.6× 290 1.5× 87 0.8× 83 1.0× 32 0.4× 17 521
Yanyi Li 177 0.7× 76 0.4× 133 1.3× 161 1.9× 55 0.7× 22 546
Qunyuan Xu 154 0.6× 116 0.6× 80 0.8× 145 1.7× 189 2.3× 16 512
Yujie Yang 99 0.4× 83 0.4× 67 0.7× 80 1.0× 108 1.3× 22 513
Shuang Zheng 200 0.8× 102 0.5× 142 1.4× 101 1.2× 67 0.8× 26 550
Zdeněk Plichta 187 0.7× 88 0.4× 162 1.6× 101 1.2× 69 0.8× 30 511
Wenchen Ji 155 0.6× 140 0.7× 68 0.7× 166 2.0× 97 1.2× 28 541
Junna Lu 247 1.0× 120 0.6× 145 1.4× 106 1.3× 24 0.3× 15 406

Countries citing papers authored by Nini Xin

Since Specialization
Citations

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

Fields of papers citing papers by Nini Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nini Xin

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