Lianghui Gao

1.1k total citations
52 papers, 857 citations indexed

About

Lianghui Gao is a scholar working on Molecular Biology, Microbiology and Organic Chemistry. According to data from OpenAlex, Lianghui Gao has authored 52 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Microbiology and 9 papers in Organic Chemistry. Recurrent topics in Lianghui Gao's work include Lipid Membrane Structure and Behavior (25 papers), Antimicrobial Peptides and Activities (12 papers) and Organ Transplantation Techniques and Outcomes (8 papers). Lianghui Gao is often cited by papers focused on Lipid Membrane Structure and Behavior (25 papers), Antimicrobial Peptides and Activities (12 papers) and Organ Transplantation Techniques and Outcomes (8 papers). Lianghui Gao collaborates with scholars based in China, United States and Germany. Lianghui Gao's co-authors include Wei‐Hai Fang, Julian C. Shillcock, Reinhard Lipowsky, Licui Chen, Lei Fu, Xiaoxu Li, Leonardo Golubović, Shan Zhang, Xiaoxu Li and Junjie Song and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Lianghui Gao

52 papers receiving 841 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lianghui Gao China 17 511 215 161 157 111 52 857
Sabine Castano France 20 928 1.8× 353 1.6× 178 1.1× 58 0.4× 115 1.0× 42 1.2k
Anna A. De Angelis United States 20 887 1.7× 99 0.5× 67 0.4× 258 1.6× 80 0.7× 27 1.5k
Pascal D. Odermatt United States 13 486 1.0× 50 0.2× 67 0.4× 120 0.8× 118 1.1× 15 1.0k
Tania Kjellerup Lind Sweden 17 598 1.2× 124 0.6× 118 0.7× 64 0.4× 141 1.3× 23 760
Manuela Mura United Kingdom 19 402 0.8× 257 1.2× 65 0.4× 290 1.8× 309 2.8× 32 1.1k
Zhaoming Su China 22 1.2k 2.3× 78 0.4× 117 0.7× 196 1.2× 29 0.3× 62 1.7k
Hervé Celia France 22 806 1.6× 45 0.2× 73 0.5× 168 1.1× 57 0.5× 32 1.4k
Biswaranjan Mohanty Australia 21 495 1.0× 34 0.2× 143 0.9× 211 1.3× 78 0.7× 82 1.2k
Kunihiko Iwamoto Japan 18 362 0.7× 35 0.2× 100 0.6× 201 1.3× 115 1.0× 63 1.1k
Rachael A. Mansbach United States 14 400 0.8× 171 0.8× 194 1.2× 124 0.8× 16 0.1× 24 737

Countries citing papers authored by Lianghui Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lianghui Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghui Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lianghui Gao. A scholar is included among the top collaborators of Lianghui Gao 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 Gao. Lianghui Gao 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.
Ye, Zifan, Shuangyu Li, Ziying Chen, et al.. (2024). Synergistic collaboration between AMPs and non-direct antimicrobial cationic peptides. Nature Communications. 15(1). 7319–7319. 27 indexed citations
2.
Song, Junjie, et al.. (2023). Structural and thermodynamic properties of bulk triglycerides and triglyceride/water mixtures reproduced using a polarizable coarse-grained model. Physical Chemistry Chemical Physics. 25(33). 22232–22243. 2 indexed citations
3.
Song, Junjie, et al.. (2023). Coarse-Grained Force Field for Polyethylene Oxide and Polyethylene Glycol Aqueous Solutions Based on a Polarizable Water Model. Journal of Chemical Theory and Computation. 19(6). 1864–1874. 5 indexed citations
4.
Song, Junjie, et al.. (2023). A top-down and bottom-up combined strategy for parameterization of coarse-grained force fields for phospholipids. Physical Chemistry Chemical Physics. 25(9). 6757–6767. 7 indexed citations
5.
Fu, Lei, Junjie Song, Shan Zhang, et al.. (2022). Thermodynamic Driving Forces for Divalent Cations Binding to Zwitterionic Phospholipid Membranes. The Journal of Physical Chemistry Letters. 13(48). 11237–11244. 5 indexed citations
6.
7.
Zhang, Shan, Zhuang Shao, Jincheng Zhang, et al.. (2021). Structure and Formation Mechanism of Antimicrobial Peptides Temporin B- and L-Induced Tubular Membrane Protrusion. International Journal of Molecular Sciences. 22(20). 11015–11015. 14 indexed citations
8.
Wang, Daqing, et al.. (2020). Soluble CD83 inhibits acute rejection by up regulating TGF-β and IDO secretion in rat liver transplantation. Transplant Immunology. 64. 101351–101351. 9 indexed citations
9.
Zhang, Shan, et al.. (2019). Peripheral Antimicrobial Peptide Gomesin Induces Membrane Protrusion, Folding, and Laceration. Langmuir. 35(40). 13233–13242. 7 indexed citations
10.
Fu, Lei, et al.. (2019). Polymyxin B Loosens Lipopolysaccharide Bilayer but Stiffens Phospholipid Bilayer. Biophysical Journal. 118(1). 138–150. 45 indexed citations
11.
Song, Junjie, et al.. (2019). Development of Coarse‐Grained Force Field by Combining Multilinear Interpolation Technique and Simplex Algorithm. Journal of Computational Chemistry. 41(8). 814–829. 15 indexed citations
12.
Fu, Lei, et al.. (2018). Peptide-Lipid Interaction Sites Affect Vesicles’ Responses to Antimicrobial Peptides. Biophysical Journal. 115(8). 1518–1529. 18 indexed citations
13.
14.
Li, Xiaoxu, Lianghui Gao, & Wei‐Hai Fang. (2016). Dissipative Particle Dynamics Simulations for Phospholipid Membranes Based on a Four-To-One Coarse-Grained Mapping Scheme. PLoS ONE. 11(5). e0154568–e0154568. 29 indexed citations
15.
Li, Xiaoxu, et al.. (2016). Mechanism of Inhibition of Human Islet Amyloid Polypeptide-Induced Membrane Damage by a Small Organic Fluorogen. Scientific Reports. 6(1). 21614–21614. 27 indexed citations
16.
Gao, Lianghui, et al.. (2013). Cytomegalovirus Infection Accelerates the Process of Chronic Rejection in Rat Liver Transplantation. Transplantation Proceedings. 45(6). 2536–2538. 3 indexed citations
17.
Gao, Lianghui, Reinhard Lipowsky, & Julian C. Shillcock. (2008). Tension-induced vesicle fusion: pathways and pore dynamics. Soft Matter. 4(6). 1208–1208. 87 indexed citations
18.
Wang, Weilin, 敬 島津, Changku Jia, et al.. (2007). Increased expression of non‐interleukin‐2 T cell growth factors and their implications during liver allograft rejection in rats. Journal of Gastroenterology and Hepatology. 22(7). 1141–1147. 3 indexed citations
19.
Gao, Lianghui, et al.. (2005). A Rat Model of Chronic Allograft Liver Rejection. Transplantation Proceedings. 37(5). 2327–2332. 9 indexed citations
20.
Gao, Lianghui & Leonardo Golubović. (2003). Finite-size thermomechanical effects in smectic liquid crystals: The vapor pressure paradox as an anharmonic phenomenon. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(4). 41907–41907. 5 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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