Na Dong

73 total papers · 1.2k total citations
47 papers, 836 citations indexed

About

Na Dong is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Na Dong has authored 47 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in Na Dong's work include Advanced biosensing and bioanalysis techniques (18 papers), Biosensors and Analytical Detection (12 papers) and Advanced Nanomaterials in Catalysis (5 papers). Na Dong is often cited by papers focused on Advanced biosensing and bioanalysis techniques (18 papers), Biosensors and Analytical Detection (12 papers) and Advanced Nanomaterials in Catalysis (5 papers). Na Dong collaborates with scholars based in China, Hong Kong and Malawi. Na Dong's co-authors include Dong Liu, Tianyan You, Shuyun Meng, Yuye Li, Ziqiang Lei, Renjun Lv, Hongmei Yue, Yao He, Yue Zhang and Xueying Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Na Dong

42 papers receiving 826 citations

Hit Papers

Pathophysiological mechan... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Na Dong 336 257 233 171 152 47 836
Xiaoli Duan 159 0.5× 223 0.9× 328 1.4× 232 1.4× 22 0.1× 36 967
Zhengfei Zhuang 323 1.0× 483 1.9× 427 1.8× 84 0.5× 43 0.3× 53 969
Koichiro Saito 308 0.9× 174 0.7× 231 1.0× 241 1.4× 118 0.8× 41 942
Maria Helena Catelli de Carvalho 176 0.5× 58 0.2× 225 1.0× 104 0.6× 166 1.1× 52 929
Changqing Qu 217 0.6× 154 0.6× 252 1.1× 310 1.8× 26 0.2× 61 936
Dongmei Wang 260 0.8× 118 0.5× 232 1.0× 157 0.9× 255 1.7× 42 1.0k
Fu‐Der Mai 80 0.2× 108 0.4× 348 1.5× 97 0.6× 44 0.3× 51 817
Md. Rafiqul Islam 231 0.7× 179 0.7× 210 0.9× 74 0.4× 28 0.2× 57 802
Katarzyna Roszek 179 0.5× 245 1.0× 261 1.1× 74 0.4× 20 0.1× 66 821
Fankai Lin 187 0.6× 236 0.9× 180 0.8× 175 1.0× 40 0.3× 54 1.1k

Countries citing papers authored by Na Dong

Since Specialization
Citations

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

Fields of papers citing papers by Na Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Dong

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