Lijuan Mao

111 total papers · 3.4k total citations
75 papers, 2.4k citations indexed

About

Lijuan Mao is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Lijuan Mao has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 12 papers in Molecular Biology and 12 papers in Pharmacology. Recurrent topics in Lijuan Mao's work include Plant Pathogens and Fungal Diseases (12 papers), Plant-Microbe Interactions and Immunity (9 papers) and Fungal Biology and Applications (8 papers). Lijuan Mao is often cited by papers focused on Plant Pathogens and Fungal Diseases (12 papers), Plant-Microbe Interactions and Immunity (9 papers) and Fungal Biology and Applications (8 papers). Lijuan Mao collaborates with scholars based in China, United States and Denmark. Lijuan Mao's co-authors include Fuzhong Li, Peijie Chen, Peter Harmer, Barbara E. Ainsworth, George P. Nassis, Chu‐Long Zhang, Fu‐Cheng Lin, Xiaoxiao Feng, Zhen-Zhu Su and Zhilin Yuan and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Lijuan Mao

73 papers receiving 2.3k citations

Hit Papers

Coronavirus disease (COVI... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Lijuan Mao 488 474 369 324 224 75 2.4k
Elizabeth L. Adams 350 0.7× 392 0.8× 174 0.5× 92 0.3× 366 1.6× 89 2.1k
Helen M. Parker 100 0.2× 338 0.7× 555 1.5× 135 0.4× 290 1.3× 61 2.5k
Kênia Mara Baiocchi de Carvalho 220 0.5× 289 0.6× 426 1.2× 92 0.3× 436 1.9× 88 1.7k
Birinder S. Cheema 186 0.4× 92 0.2× 633 1.7× 116 0.4× 229 1.0× 74 2.9k
Linn Goldberg 284 0.6× 53 0.1× 367 1.0× 490 1.5× 433 1.9× 75 2.5k
Esperanza Navarro‐Pardo 425 0.9× 406 0.9× 164 0.4× 171 0.5× 345 1.5× 128 2.4k
Acharya Balkrishna 693 1.4× 230 0.5× 238 0.6× 54 0.2× 96 0.4× 212 2.4k
Judy A. Driskell 142 0.3× 191 0.4× 254 0.7× 157 0.5× 557 2.5× 105 1.8k
Sharon M. Nickols‐Richardson 295 0.6× 224 0.5× 682 1.8× 212 0.7× 867 3.9× 104 2.5k
Kimberly A. Williams 313 0.6× 485 1.0× 129 0.3× 68 0.2× 233 1.0× 107 2.0k

Countries citing papers authored by Lijuan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Lijuan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijuan Mao

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