Lianghui Ji

3.2k total citations
51 papers, 2.5k citations indexed

About

Lianghui Ji is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Lianghui Ji has authored 51 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Plant Science and 10 papers in Biomedical Engineering. Recurrent topics in Lianghui Ji's work include Genomics and Phylogenetic Studies (10 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). Lianghui Ji is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). Lianghui Ji collaborates with scholars based in Singapore, South Korea and United States. Lianghui Ji's co-authors include Hua Chun Zeng, Shou‐Wei Ding, Jianyi Lin, Munusamy Madhaiyan, Chong Mei John Koh, Yanbin Liu, S. H. Tang, K.L. Tan, Jun Lin and Bin Cao and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE.

In The Last Decade

Lianghui Ji

51 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Lianghui Ji 773 758 712 481 425 51 2.5k
Yanliang Wang 408 0.5× 609 0.8× 509 0.7× 420 0.9× 902 2.1× 99 3.4k
Márcio José da Silva 709 0.9× 348 0.5× 1.6k 2.2× 285 0.6× 1.7k 3.9× 165 3.8k
Liming Zhao 1.1k 1.4× 625 0.8× 510 0.7× 81 0.2× 424 1.0× 182 3.6k
Lihua Chen 422 0.5× 266 0.4× 531 0.7× 46 0.1× 290 0.7× 127 2.2k
Qing Luo 416 0.5× 247 0.3× 569 0.8× 96 0.2× 287 0.7× 106 2.8k
Dan Huang 205 0.3× 295 0.4× 314 0.4× 56 0.1× 166 0.4× 63 1.4k
Ting Ye 430 0.6× 304 0.4× 638 0.9× 32 0.1× 319 0.8× 117 2.8k
Wenting Chen 179 0.2× 264 0.3× 547 0.8× 57 0.1× 218 0.5× 65 1.4k
Jianjun Yang 369 0.5× 519 0.7× 688 1.0× 33 0.1× 337 0.8× 125 2.5k
Małgorzata Czerwicka 214 0.3× 175 0.2× 153 0.2× 240 0.5× 223 0.5× 36 1.5k

Countries citing papers authored by Lianghui Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lianghui Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghui Ji

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

All Works

20 of 20 papers shown
1.
Li, Guang, Yuewen Xu, Lianghui Ji, et al.. (2024). Recovery effects of sodium carboxymethylcellulose-xanthan gum hydrogels containing peptide‑iron complexes against iron deficient anemia in vivo. International Journal of Biological Macromolecules. 283(Pt 4). 137915–137915. 1 indexed citations
2.
Liu, Yanbin, et al.. (2021). Understanding and exploiting the fatty acid desaturation system in Rhodotorula toruloides. Biotechnology for Biofuels. 14(1). 73–73. 12 indexed citations
3.
Madhaiyan, Munusamy, Venkatakrishnan Sivaraj Saravanan, Joseph S. Wirth, et al.. (2020). Sphingomonas palmae sp. nov. and Sphingomonas gellani sp. nov., endophytically associated phyllosphere bacteria isolated from economically important crop plants. Antonie van Leeuwenhoek. 113(11). 1617–1632. 8 indexed citations
4.
Madhaiyan, Munusamy, Venkatakrishnan Sivaraj Saravanan, Jochen Blom, et al.. (2019). Phytobacter palmae sp. nov., a novel endophytic, N2 fixing, plant growth promoting Gammaproteobacterium isolated from oil palm (Elaeis guineensis Jacq.). INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(2). 841–848. 16 indexed citations
5.
Biswal, Basanta Kumar, Umesh Jadhav, Munusamy Madhaiyan, et al.. (2018). Biological Leaching and Chemical Precipitation Methods for Recovery of Co and Li from Spent Lithium-Ion Batteries. ACS Sustainable Chemistry & Engineering. 6(9). 12343–12352. 185 indexed citations
6.
Li, Chengxiang, et al.. (2018). Site-specific phosphorylation of TRANSPARENT TESTA GLABRA1 mediates carbon partitioning in Arabidopsis seeds. Nature Communications. 9(1). 571–571. 54 indexed citations
7.
Koh, Chong Mei John, et al.. (2018). Identification of novel genes in the carotenogenic and oleaginous yeast Rhodotorula toruloides through genome-wide insertional mutagenesis. BMC Microbiology. 18(1). 14–14. 21 indexed citations
8.
Lin, Grace, et al.. (2017). Mapping QTL for Omega-3 Content in Hybrid Saline Tilapia. Marine Biotechnology. 20(1). 10–19. 24 indexed citations
9.
Liu, Yali, Li Gao, Lianghui Ji, et al.. (2016). Trunk muscle activity patterns in a person with spinal cord injury walking with different un-powered exoskeletons: A case study. Journal of Rehabilitation Medicine. 48(4). 390–395. 9 indexed citations
10.
Liu, Yanbin, et al.. (2016). Developing a set of strong intronic promoters for robust metabolic engineering in oleaginous Rhodotorula (Rhodosporidium) yeast species. Microbial Cell Factories. 15(1). 200–200. 42 indexed citations
11.
Koh, Chong Mei John, et al.. (2015). Engineering an efficient and tight d-amino acid-inducible gene expression system in Rhodosporidium/Rhodotorula species. Microbial Cell Factories. 14(1). 107–107. 28 indexed citations
12.
Madhaiyan, Munusamy, et al.. (2015). Leaf-residing Methylobacterium species fix nitrogen and promote biomass and seed production in Jatropha curcas. Biotechnology for Biofuels. 8(1). 222–222. 85 indexed citations
13.
14.
Ng, Chun Kiat, Krishnakumar Sivakumar, Xin Liu, et al.. (2013). Influence of outer membrane c‐type cytochromes on particle size and activity of extracellular nanoparticles produced by Shewanella oneidensis. Biotechnology and Bioengineering. 110(7). 1831–1837. 64 indexed citations
15.
16.
Cai, Lin, et al.. (2011). Regeneration of Jatropha curcas through efficient somatic embryogenesis and suspension culture. PubMed. 2(2). 110–117. 9 indexed citations
17.
Ji, Lianghui, Zide Jiang, Yanbin Liu, Chong Mei John Koh, & Lian‐Hui Zhang. (2010). A Simplified and efficient method for transformation and gene tagging of Ustilago maydis using frozen cells. Fungal Genetics and Biology. 47(4). 279–287. 25 indexed citations
18.
Liu, Yanbin, Chong Mei John Koh, & Lianghui Ji. (2010). Bioconversion of crude glycerol to glycolipids in Ustilago maydis. Bioresource Technology. 102(4). 3927–3933. 78 indexed citations
19.
Ji, Lianghui & Shou‐Wei Ding. (2001). The Suppressor of Transgene RNA Silencing Encoded by Cucumber mosaic virus Interferes with Salicylic Acid-Mediated Virus Resistance. Molecular Plant-Microbe Interactions. 14(6). 715–724. 177 indexed citations
20.
Ji, Lianghui & Peter Langridge. (1994). An early meiosis cDNA clone from wheat. Molecular and General Genetics MGG. 243(1). 17–23. 27 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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