Na Wang

140 total papers · 512 total citations
77 papers, 244 citations indexed

About

Na Wang is a scholar working on Molecular Biology, Geriatrics and Gerontology and Electrical and Electronic Engineering. According to data from OpenAlex, Na Wang has authored 77 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Geriatrics and Gerontology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Na Wang's work include Sirtuins and Resveratrol in Medicine (6 papers), Pharmacological Effects of Natural Compounds (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Na Wang is often cited by papers focused on Sirtuins and Resveratrol in Medicine (6 papers), Pharmacological Effects of Natural Compounds (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Na Wang collaborates with scholars based in China, United States and Netherlands. Na Wang's co-authors include J. F. Sun, Yueling Yang, Gaiping Zhang, Huan Xu, Shubin Guo, Fangyu Wang, Qian Li, Lina Ma, Zhen Shi and Shidong Song and has published in prestigious journals such as Nature, Applied Physics Letters and The Science of The Total Environment.

In The Last Decade

Na Wang

56 papers receiving 235 citations

Author Peers

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

Author						Papers	Cites
Na Wang	42	34	24	24	23	77	244
Yuting Wang	61 1.5×	21 0.6×	10 0.4×	25 1.0×	30 1.3×	39	304
Nahid Einollahi	73 1.7×	18 0.5×	43 1.8×	50 2.1×	25 1.1×	36	316
Jie Hong	61 1.5×	15 0.4×	19 0.8×	15 0.6×	10 0.4×	37	256
Amal F. Dawood	96 2.3×	16 0.5×	15 0.6×	33 1.4×	7 0.3×	47	304
Dongfu Li	116 2.8×	36 1.1×	15 0.6×	54 2.3×	8 0.3×	23	318
Anil Kumar Singh	88 2.1×	11 0.3×	23 1.0×	41 1.7×	8 0.3×	46	305
Jiaqi Liu	49 1.2×	11 0.3×	9 0.4×	23 1.0×	7 0.3×	35	324
Seon-Tae Kim	65 1.5×	15 0.4×	7 0.3×	45 1.9×	9 0.4×	37	326
Xi Chen	28 0.7×	12 0.4×	14 0.6×	9 0.4×	17 0.7×	33	184
Xiaoxiang Sun	143 3.4×	17 0.5×	60 2.5×	18 0.8×	45 2.0×	32	315

Countries citing papers authored by Na Wang

Since Specialization

Citations

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

Fields of papers citing papers by Na Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Wang

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