Nan Ma

227 total papers · 3.3k total citations
88 papers, 2.8k citations indexed

About

Nan Ma is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Nan Ma has authored 88 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 38 papers in Biomedical Engineering and 37 papers in Materials Chemistry. Recurrent topics in Nan Ma's work include Gas Sensing Nanomaterials and Sensors (20 papers), Perovskite Materials and Applications (17 papers) and 2D Materials and Applications (14 papers). Nan Ma is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (20 papers), Perovskite Materials and Applications (17 papers) and 2D Materials and Applications (14 papers). Nan Ma collaborates with scholars based in China, Japan and United States. Nan Ma's co-authors include Ya Yang, Koichi Suematsu, Kengo Shimanoe, Masayoshi Yuasa, Kewei Zhang, Wei-Gang Yang, Bo‐Ping Zhang, Tetsuya Kida, Qi Jia and Kai Song and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Nano.

In The Last Decade

Nan Ma

81 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Nan Ma 1.8k 1.7k 1.2k 757 407 88 2.8k
Ping‐Hung Yeh 2.1k 1.2× 1.7k 1.0× 993 0.8× 615 0.8× 283 0.7× 74 2.9k
Ge‐Bo Pan 1.5k 0.9× 1.2k 0.8× 1.2k 1.0× 519 0.7× 235 0.6× 148 2.8k
Hou T. Ng 1.8k 1.0× 2.2k 1.4× 1.1k 0.9× 514 0.7× 227 0.6× 48 3.4k
Seung Yol Jeong 1.3k 0.7× 1.7k 1.0× 1.1k 0.9× 557 0.7× 175 0.4× 100 2.8k
Zhixian Zhou 2.0k 1.1× 2.9k 1.8× 760 0.6× 517 0.7× 164 0.4× 72 3.8k
Li‐Chia Tien 2.4k 1.3× 2.5k 1.5× 761 0.6× 900 1.2× 511 1.3× 55 3.3k
Li Sun 1.0k 0.6× 1.6k 1.0× 512 0.4× 961 1.3× 282 0.7× 107 2.4k
I‐Cherng Chen 1.6k 0.9× 1.7k 1.0× 646 0.5× 604 0.8× 531 1.3× 46 2.3k
Preetam Singh 1.5k 0.9× 1.6k 1.0× 474 0.4× 497 0.7× 213 0.5× 121 2.4k
Yong Zhang 2.1k 1.2× 1.2k 0.7× 1.2k 1.0× 335 0.4× 873 2.1× 104 2.8k

Countries citing papers authored by Nan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Ma

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