Xin Nie

1.5k citations
28 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Catalysis for Biomass Conversion (9 papers)Synthesis and Catalytic Reactions (7 papers)Catalytic C–H Functionalization Methods (5 papers)
Partner nations
ChinaGermanyRussia

In The Last Decade

Xin Nie

27 papers receiving 1.3k citations

Hit Papers

Near Infrared Laser-Induced Targeted Cancer Therapy Using...20142026201820222014100200300400500

Peers

Xin Nie
Comparison fields: 5 of 87
  • Biomedical Engineering 952
  • Biomaterials 383
  • Materials Chemistry 381
  • Electronic, Optical and Magnetic Materials 250
  • Organic Chemistry 210
Replace Shaohua Zhang with:
Shaohua Zhang China
Kazuhiro Shikinaka Japan
Song Jin United States
Ruilian Qi China
Xiaohang Zhu China
Yanting Gao China
Aby Cheruvathoor Poulose Japan
Xiaran Miao China
Baozhong Lü China
Josep Sedó Spain
Xin Nie relative to Shaohua Zhang China Shaohua Zhang's profile →
Citations per field
00.5×3.2×
Shaohua Zhang · 1×
Citations per year

Countries citing papers authored by Xin Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xin Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Nie. A scholar is included among the top collaborators of Xin Nie 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 Xin Nie. Xin Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 10
4 5
5 10
6 7
7 13
8 6
9 2
10 3
11 18
12 18
13 9
14 41
15
Near Infrared Laser-Induced Targeted Cancer Therapy Using Thermoresponsive Polymer Encapsulated Gold Nanorodsbreakdown →
556
16 131
17 107
18 11
19 156
20 26

About Xin Nie

Xin Nie is a scholar working on Process Chemistry and Technology, Aging and Organic Chemistry, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Catalysis for Biomass Conversion (9 papers), Synthesis and Catalytic Reactions (7 papers) and Catalytic C–H Functionalization Methods (5 papers). The work is most often cited by research in Biomaterials (383 citations), Biomedical Engineering (952 citations) and Process Chemistry and Technology (43 citations). Xin Nie has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Chunying Chen, Jie Xu, Jing Wang, Xiaochun Wu, Yinglu Ji, Zhenjiang Zhang, Yuliang Zhao, Tao Wen, Fang Lü and Hong Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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