Ning Gan

8.7k total citations
283 papers, 7.3k citations indexed

About

Ning Gan is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ning Gan has authored 283 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Molecular Biology, 138 papers in Biomedical Engineering and 57 papers in Electrical and Electronic Engineering. Recurrent topics in Ning Gan's work include Advanced biosensing and bioanalysis techniques (162 papers), Biosensors and Analytical Detection (116 papers) and Analytical chemistry methods development (38 papers). Ning Gan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (162 papers), Biosensors and Analytical Detection (116 papers) and Analytical chemistry methods development (38 papers). Ning Gan collaborates with scholars based in China, Japan and United States. Ning Gan's co-authors include Yuting Cao, Tianhua Li, Futao Hu, You Zhou, Yinji Chen, Denan Zhang, Jing Cuan, Dazhen Wu, Qianli Jiang and Qian Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Analytical Chemistry.

In The Last Decade

Ning Gan

274 papers receiving 7.1k citations

Peers

Ning Gan
Comparison fields: 5 of 140
  • Molecular Biology 4.0k
  • Biomedical Engineering 3.2k
  • Materials Chemistry 2.0k
  • Electrical and Electronic Engineering 1.3k
  • Analytical Chemistry 1.1k
Replace Longhua Guo with:
Longhua Guo China
Yuan Fang Li China
Mahmoud Roushani Iran
Dietmar Knopp Germany
Pingang He China
Seyed Mohammad Taghdisi Iran
Xingguang Su China
Morteza Hosseini Iran
Noriho Kamiya Japan
Longhua Guo China View profile →
Citations per field, relative to Ning Gan
Ning Gan · 1×
Citations per year, relative to Ning Gan
Ning Gan · 1×

Countries citing papers authored by Ning Gan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Gan. A scholar is included among the top collaborators of Ning Gan 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 Ning Gan. Ning Gan 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 2
2 4
3 1
4 3
5 18
6 7
7 2
8 3
9 5
10 13
11 15
12 47
13 11
14 13
15 10
16 10
17 4
18 47
19 49
20 66

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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