Liping Ban

2.5k total citations · 1 hit paper
53 papers, 2.0k citations indexed

About

Liping Ban is a scholar working on Insect Science, Molecular Biology and Genetics. According to data from OpenAlex, Liping Ban has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Insect Science, 18 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Liping Ban's work include Neurobiology and Insect Physiology Research (17 papers), Insect and Arachnid Ecology and Behavior (16 papers) and Insect-Plant Interactions and Control (12 papers). Liping Ban is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Insect and Arachnid Ecology and Behavior (16 papers) and Insect-Plant Interactions and Control (12 papers). Liping Ban collaborates with scholars based in China, Italy and United States. Liping Ban's co-authors include Paolo Pelosi, Jing‐Jiang Zhou, Long Zhang, Andrea Scaloni, Yong‐Bin Yan, Limei Song, Paolo Pelosi, Anna Brandazza, Yang Liu and Guirong Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Liping Ban

49 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Soluble proteins in insect chemical communication

2006 728 citations Paolo Pelosi, Jing‐Jiang Zhou et al. Cellular and Molecular Life Sciences profile →

Peers

Liping Ban

CMN

IS

GENET

MB

PS

Immacolata Iovinella Italy

Thomas Chertemps France

Pingxi Xu United States

Zainulabeuddin Syed United States

Chen‐Zhu Wang China

Ada Rafaeli Israel

Patricia Nagnan‐Le Meillour France

Emmanuelle Jacquin‐Joly France

Jean‐François Picimbon China

Immacolata Iovinella Italy

Liping Ban

1.3k ×1.0

CMN

1.4k ×1.2

IS

1.0k ×1.1

GENET

426 ×0.9

MB

170 ×0.5

PS

Citations per year, relative to Liping Ban Liping Ban (= 1×) peers Immacolata Iovinella

Countries citing papers authored by Liping Ban

Since Specialization

Citations

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

Fields of papers citing papers by Liping Ban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Ban

This figure shows the co-authorship network connecting the top 25 collaborators of Liping Ban. A scholar is included among the top collaborators of Liping Ban 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 Liping Ban. Liping Ban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fu, Zhen, Cheng Yan, Ying Wang, et al.. (2025). An Evaluation of the Predatory Function of Orius strigicollis (Poppius) (Hemiptera: Anthocoridae) on Megalurothrips usitatus (Bagnall) (Thysanoptera: Thripidae). Insects. 16(3). 236–236.

2.

Tang, Fang, et al.. (2025). Identification and Evaluation of Alfalfa Volatiles for Monitoring and Management of Odontothrips loti and Frankliniella occidentalis. Insects. 16(12). 1207–1207.

3.

Zhang, Xinye, Li Zhang, Yan Lu, et al.. (2025). Genomic evidence for hybridization and introgression between blue peafowl and endangered green peafowl and molecular foundation of leucistic plumage of blue peafowl. GigaScience. 14. 1 indexed citations

4.

Zhang, Haixiang, et al.. (2024). Effects of Different Tillage Years on Soil Composition and Ground-Dwelling Arthropod Diversity in Gravel-Sand Mulching Watermelon Fields. Agronomy. 14(8). 1841–1841. 1 indexed citations

5.

Zhang, Haixiang, et al.. (2024). Effects of Habitat Loss on Tenebrionidae in Gravel–Sand Mulching Areas of Desert Steppe in Ningxia, China. Agronomy. 14(11). 2518–2518.

6.

Zhao, Chaoyang, et al.. (2024). Transmission from seed to seedling and elimination of alfalfa viruses. Frontiers in Plant Science. 15. 1330219–1330219. 4 indexed citations

7.

Wang, Jingxuan, et al.. (2023). Identification of CNGCs in Glycine max and Screening of Related Resistance Genes after Fusarium solani Infection. Biology. 12(3). 439–439. 5 indexed citations

8.

Du, Lixiao, et al.. (2023). Antennal Transcriptome Analysis of Olfactory Genes and Characterization of Odorant Binding Proteins in Odontothrips loti (Thysanoptera: Thripidae). International Journal of Molecular Sciences. 24(6). 5284–5284. 8 indexed citations

9.

Li, Xin, et al.. (2022). Occurrence, Distribution, and Transmission of Alfalfa Viruses in China. Viruses. 14(7). 1519–1519. 9 indexed citations

10.

McNeill, M.R., Xiongbing Tu, C.M. Ferguson, et al.. (2021). Diversity and impacts of key grassland and forage arthropod pests in China and New Zealand: An overview of IPM and biosecurity opportunities. NeoBiota. 65. 137–168. 10 indexed citations

11.

Ban, Liping, et al.. (2020). Illumina Sequencing of 18S/16S rRNA Reveals Microbial Community Composition, Diversity, and Potential Pathogens in 17 Turfgrass Seeds. Plant Disease. 105(5). 1328–1338. 5 indexed citations

12.

Li, Xinghua, Changsheng Nie, Yuchen Liu, et al.. (2019). A genome-wide association study explores the genetic determinism of host resistance to Salmonella pullorum infection in chickens. Genetics Selection Evolution. 51(1). 51–51. 19 indexed citations

13.

Zhu, Jiao, Liping Ban, Limei Song, et al.. (2016). General odorant-binding proteins and sex pheromone guide larvae of Plutella xylostella to better food. Insect Biochemistry and Molecular Biology. 72. 10–19. 94 indexed citations

14.

Ban, Liping. (2012). Therapeutic effect of Potentilla kleiniana extract against experimental Salmonella pullorum in chicken. Nanfang nongye xuebao. 1 indexed citations

15.

Ban, Liping. (2012). Rapid Molecular Identification of Trogoderma glabrum and Trogoderma variabile(Coleoptera:Dermestidae). 1 indexed citations

16.

Pelosi, Paolo, et al.. (2006). Soluble proteins in insect chemical communication. Cellular and Molecular Life Sciences. 63(14). 1658–1676. 728 indexed citations breakdown →

17.

Jin, Xin, Anna Brandazza, Liping Ban, et al.. (2005). Expression and immunolocalisation of odorant-binding and chemosensory proteins in locusts. Cellular and Molecular Life Sciences. 62(10). 1156–1166. 84 indexed citations

18.

Ban, Liping, Andrea Scaloni, Anna Brandazza, et al.. (2003). Chemosensory proteins of Locusta migratoria. Insect Molecular Biology. 12(2). 125–134. 115 indexed citations

19.

Ban, Liping, Andrea Scaloni, Chiara DˈAmbrosio, et al.. (2003). Biochemical characterization and bacterial expression of an odorant-binding protein from Locusta migratoria. Cellular and Molecular Life Sciences. 60(2). 390–400. 128 indexed citations

20.

Ban, Liping, et al.. (2002). Binding properties of a locust's chemosensory protein. Biochemical and Biophysical Research Communications. 293(1). 50–54. 88 indexed citations

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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