Nian Liu

48 total papers · 495 total citations
30 papers, 327 citations indexed

About

Nian Liu is a scholar working on Molecular Biology, Insect Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Nian Liu has authored 30 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Insect Science and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Nian Liu's work include Insect Resistance and Genetics (7 papers), Nanoparticles: synthesis and applications (5 papers) and Insect and Pesticide Research (4 papers). Nian Liu is often cited by papers focused on Insect Resistance and Genetics (7 papers), Nanoparticles: synthesis and applications (5 papers) and Insect and Pesticide Research (4 papers). Nian Liu collaborates with scholars based in China, United States and United Kingdom. Nian Liu's co-authors include Xinghui Qiu, Mei Li, Chan Yang, Jibin Zhang, Minmin Cai, Bin He, Ligang Hu, Xiaopeng Zeng, Ying Tong and Lihong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and ACS Nano.

In The Last Decade

Nian Liu

26 papers receiving 323 citations

Author Peers

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

Author Last Decade Papers Cites
Nian Liu 92 79 72 63 37 30 327
María Teresa Sandoval 36 0.4× 31 0.4× 16 0.2× 47 0.7× 10 0.3× 23 346
Kodwo Dadzie Ninsin 173 1.9× 82 1.0× 11 0.2× 126 2.0× 4 0.1× 25 305
Marı́a Inés Urrutia 87 0.9× 51 0.6× 23 0.3× 132 2.1× 5 0.1× 38 318
Thomas G. Bean 94 1.0× 15 0.2× 14 0.2× 30 0.5× 14 0.4× 18 360
Boping Zeng 62 0.7× 43 0.5× 9 0.1× 42 0.7× 5 0.1× 27 280
Benjamin Mubemba 16 0.2× 16 0.2× 60 0.8× 18 0.3× 8 0.2× 29 278
Noppadon Kitana 27 0.3× 32 0.4× 20 0.3× 59 0.9× 5 0.1× 25 339
Lisha Shi 198 2.2× 52 0.7× 19 0.3× 101 1.6× 7 0.2× 19 317
G. Achuthan Nair 45 0.5× 58 0.7× 22 0.3× 106 1.7× 10 0.3× 39 355
Richard W. Watkins 70 0.8× 38 0.5× 5 0.1× 91 1.4× 12 0.3× 21 312

Countries citing papers authored by Nian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Liu

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