Nan Song

7.1k total citations · 6 hit papers
100 papers, 5.9k citations indexed

About

Nan Song is a scholar working on Materials Chemistry, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Nan Song has authored 100 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Materials Chemistry, 34 papers in Biomedical Engineering and 17 papers in Organic Chemistry. Recurrent topics in Nan Song's work include Nanoplatforms for cancer theranostics (28 papers), Luminescence and Fluorescent Materials (27 papers) and Supramolecular Chemistry and Complexes (13 papers). Nan Song is often cited by papers focused on Nanoplatforms for cancer theranostics (28 papers), Luminescence and Fluorescent Materials (27 papers) and Supramolecular Chemistry and Complexes (13 papers). Nan Song collaborates with scholars based in China, Hong Kong and United States. Nan Song's co-authors include Ying‐Wei Yang, Dong Wang, Ben Zhong Tang, Zhijun Zhang, Miaomiao Kang, Yulong Sun, Haoxuan Li, Jie Li, Jianxin Wang and Lei Wang and has published in prestigious journals such as Nature, Cell and Journal of the American Chemical Society.

In The Last Decade

Nan Song

94 papers receiving 5.9k citations

Hit Papers

Supramolecular materials based on AIE luminogens (AIEgens... 2019 2026 2021 2023 2020 2020 2019 2022 2022 200 400 600

Peers

Nan Song
Comparison fields: 5 of 139
  • Materials Chemistry 3.3k
  • Biomedical Engineering 2.2k
  • Organic Chemistry 1.6k
  • Spectroscopy 1.2k
  • Biomaterials 1.1k
Replace Zhiguo Zhou with:
Zhiguo Zhou China
Xuanjun Zhang China
Zhiyun Zhang China
Ying‐Ming Zhang China
Yao Sun China
Yuming Yang China
Zhipeng Liu China
Yue Pan China
Guoqing Zhang China
Junji Zhang China
Zhiguo Zhou China View profile →
Citations per field, relative to Nan Song
Nan Song · 1×
Citations per year, relative to Nan Song
Nan Song · 1×

Countries citing papers authored by Nan Song

Since Specialization
Citations

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

Fields of papers citing papers by Nan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Song. A scholar is included among the top collaborators of Nan Song 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 Nan Song. Nan Song 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
# Work Indexed citations
1 0
2 1
3 0
4 2
5 12
6 15
7 14
8 62
9 3
10 8
11 32
12 0
13 17
14 44
15 94
16 28
17 67
18
Aggregation‐enhanced theranostics: AIE sparkles in biomedical field breakdown →
427
19 49
20
Evaluation of Structure–Function Relationships of Aggregation-Induced Emission Luminogens for Simultaneous Dual Applications of Specific Discrimination and Efficient Photodynamic Killing of Gram-Positive Bacteria breakdown →
351

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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