Nan Gao

8.7k total citations · 4 hit papers
118 papers, 6.5k citations indexed

About

Nan Gao is a scholar working on Materials Chemistry, Biomedical Engineering and Physiology. According to data from OpenAlex, Nan Gao has authored 118 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Materials Chemistry, 26 papers in Biomedical Engineering and 25 papers in Physiology. Recurrent topics in Nan Gao's work include Advanced Nanomaterials in Catalysis (27 papers), Alzheimer's disease research and treatments (23 papers) and Nanocluster Synthesis and Applications (21 papers). Nan Gao is often cited by papers focused on Advanced Nanomaterials in Catalysis (27 papers), Alzheimer's disease research and treatments (23 papers) and Nanocluster Synthesis and Applications (21 papers). Nan Gao collaborates with scholars based in China, United Kingdom and Singapore. Nan Gao's co-authors include Xiaogang Qu, Jinsong Ren, Hanjun Sun, Kai Dong, Andong Zhao, Pengcheng Huang, Fang–Ying Wu, Kai Li, Li Wu and Yijia Guan and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Nan Gao

111 papers receiving 6.5k citations

Hit Papers

Graphene Quantum Dots-Band-Aids Used for Wound Disinfection 2014 2026 2018 2022 2014 2014 2015 2018 200 400 600

Peers

Nan Gao
Comparison fields: 5 of 151
  • Materials Chemistry 4.3k
  • Biomedical Engineering 2.2k
  • Molecular Biology 1.5k
  • Electrical and Electronic Engineering 764
  • Physiology 677
Replace Zhuo Wang with:
Zhuo Wang China
Dan Cheng China
Yao Sun China
Aoneng Cao China
Yun Liu China
Chen Wang China
Lingling Li China
Mojtaba Falahati Iran
Fangyuan Li China
Cuicui Ge China
Zhuo Wang China View profile →
Citations per field, relative to Nan Gao
Nan Gao · 1×
Citations per year, relative to Nan Gao
Nan Gao · 1×

Countries citing papers authored by Nan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Nan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Gao. A scholar is included among the top collaborators of Nan Gao 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 Gao. Nan Gao 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 5
3 1
4 1
5 11
6 4
7 10
8 41
9 37
10 1
11 40
12 6
13 19
14 156
15 117
16 16
17 313
18 109
19 73
20 1

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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