Na Liu

97 total papers · 3.4k total citations
85 papers, 2.7k citations indexed

About

Na Liu is a scholar working on Molecular Biology, Plant Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Na Liu has authored 85 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 26 papers in Plant Science and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Na Liu's work include Mycotoxins in Agriculture and Food (18 papers), Atmospheric chemistry and aerosols (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Na Liu is often cited by papers focused on Mycotoxins in Agriculture and Food (18 papers), Atmospheric chemistry and aerosols (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Na Liu collaborates with scholars based in China, United States and France. Na Liu's co-authors include Dingzhong Tang, Aibo Wu, Chen Yang, Yina Jiang, Xiaowei Zhang, Qiujin Xie, Dapeng Wang, Lixia Liu, Xiao‐Ya Chen and Ertao Wang and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Journal of Geophysical Research Atmospheres.

In The Last Decade

Na Liu

81 papers receiving 2.6k citations

Hit Papers

Plants transfer lipids to... 2017 2026 2020 2023 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Na Liu 1.2k 478 327 216 200 85 2.7k
Yucheng Feng 620 0.5× 571 1.2× 335 1.0× 158 0.7× 62 0.3× 114 2.9k
Guido C. Galletti 917 0.8× 454 0.9× 212 0.6× 78 0.4× 104 0.5× 127 3.0k
Helge Egsgaard 558 0.5× 435 0.9× 85 0.3× 219 1.0× 277 1.4× 129 3.1k
Xia Wang 1.5k 1.3× 670 1.4× 183 0.6× 729 3.4× 53 0.3× 160 4.3k
Lijuan Wang 1.6k 1.3× 1.6k 3.3× 420 1.3× 443 2.1× 178 0.9× 126 4.1k
Claude‐Gilles Dussap 890 0.7× 678 1.4× 94 0.3× 192 0.9× 54 0.3× 124 3.8k
Henk Van As 1.5k 1.2× 701 1.5× 81 0.2× 302 1.4× 158 0.8× 161 5.3k
M. Rubio 1.6k 1.4× 749 1.6× 379 1.2× 237 1.1× 418 2.1× 134 3.1k
Diana Hofmann 536 0.4× 554 1.2× 355 1.1× 107 0.5× 260 1.3× 90 2.4k
Yuanzhi Shi 2.2k 1.8× 1.2k 2.4× 92 0.3× 151 0.7× 69 0.3× 108 5.2k

Countries citing papers authored by Na Liu

Since Specialization
Citations

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

Fields of papers citing papers by Na Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Liu

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