Li Mao

50 total papers · 1.8k total citations
44 papers, 1.6k citations indexed

About

Li Mao is a scholar working on Molecular Biology, Electrochemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Li Mao has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Electrochemistry and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Li Mao's work include Advanced biosensing and bioanalysis techniques (36 papers), Electrochemical Analysis and Applications (18 papers) and Biosensors and Analytical Detection (16 papers). Li Mao is often cited by papers focused on Advanced biosensing and bioanalysis techniques (36 papers), Electrochemical Analysis and Applications (18 papers) and Biosensors and Analytical Detection (16 papers). Li Mao collaborates with scholars based in China, United States and Singapore. Li Mao's co-authors include Ruo Yuan, Yaqin Chai, Ying Zhuo, Yali Yuan, Shirong Yuan, Huilan Su, Xia Yang, Huan Niu, Yaling Cao and Waun Ki Hong and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Li Mao

43 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Li Mao 1.4k 737 581 378 326 44 1.6k
Yadong Xue 1.2k 0.9× 562 0.8× 642 1.1× 318 0.8× 439 1.3× 59 2.0k
Lichan Chen 1.1k 0.8× 763 1.0× 504 0.9× 250 0.7× 922 2.8× 60 2.0k
Huairong Zhang 1.2k 0.8× 835 1.1× 282 0.5× 329 0.9× 318 1.0× 40 1.5k
Yu Wang 1.4k 1.0× 856 1.2× 439 0.8× 304 0.8× 263 0.8× 77 1.9k
Sakandar Rauf 842 0.6× 684 0.9× 521 0.9× 237 0.6× 222 0.7× 33 1.6k
Tania García‐Mendiola 671 0.5× 472 0.6× 351 0.6× 197 0.5× 404 1.2× 56 1.3k
Ece Ekşin 1.1k 0.8× 533 0.7× 580 1.0× 347 0.9× 182 0.6× 72 1.5k
Rong-Na Ma 1.3k 0.9× 580 0.8× 421 0.7× 340 0.9× 428 1.3× 71 1.6k
Wenqiang Lai 1.4k 1.1× 883 1.2× 466 0.8× 190 0.5× 646 2.0× 48 1.9k
Qi Zhang 1.1k 0.8× 592 0.8× 271 0.5× 146 0.4× 420 1.3× 71 1.6k

Countries citing papers authored by Li Mao

Since Specialization
Citations

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

Fields of papers citing papers by Li Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Mao

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