Guoping Lian

3.6k total citations · 2 hit papers
72 papers, 2.9k citations indexed

About

Guoping Lian is a scholar working on Pharmaceutical Science, Food Science and Dermatology. According to data from OpenAlex, Guoping Lian has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pharmaceutical Science, 19 papers in Food Science and 14 papers in Dermatology. Recurrent topics in Guoping Lian's work include Advancements in Transdermal Drug Delivery (26 papers), Essential Oils and Antimicrobial Activity (12 papers) and Surfactants and Colloidal Systems (9 papers). Guoping Lian is often cited by papers focused on Advancements in Transdermal Drug Delivery (26 papers), Essential Oils and Antimicrobial Activity (12 papers) and Surfactants and Colloidal Systems (9 papers). Guoping Lian collaborates with scholars based in United Kingdom, China and United States. Guoping Lian's co-authors include Colin Thornton, M.J. Adams, Lujia Han, Longjian Chen, Mingyou Chen, Yunchao Tang, Xiangjun Zou, Chenglin Wang, Jinhui Li and Lufeng Luo and has published in prestigious journals such as The Journal of Physical Chemistry B, Advanced Drug Delivery Reviews and Langmuir.

In The Last Decade

Guoping Lian

71 papers receiving 2.8k citations

Hit Papers

A Theoretical Study of the Liquid Bridge Forces between T... 1993 2026 2004 2015 1993 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoping Lian United Kingdom 29 736 503 460 444 335 72 2.9k
Chris D. Rielly United Kingdom 37 565 0.8× 268 0.5× 1.0k 2.3× 51 0.1× 325 1.0× 94 3.3k
Antonello Barresi Italy 42 985 1.3× 494 1.0× 1.5k 3.3× 52 0.1× 704 2.1× 251 5.7k
Fridrun Podczeck United Kingdom 38 697 0.9× 2.2k 4.3× 398 0.9× 118 0.3× 703 2.1× 149 4.3k
Heiko Briesen Germany 27 408 0.6× 76 0.2× 408 0.9× 160 0.4× 286 0.9× 165 2.4k
Serafim Bakalis United Kingdom 31 359 0.5× 48 0.1× 458 1.0× 380 0.9× 273 0.8× 173 3.1k
Hong Ye China 35 102 0.1× 127 0.3× 289 0.6× 1.3k 2.8× 439 1.3× 149 4.5k
Kees van der Voort Maarschalk Netherlands 21 186 0.3× 556 1.1× 202 0.4× 144 0.3× 281 0.8× 48 2.1k
Philippe Marchal France 29 258 0.4× 77 0.2× 495 1.1× 80 0.2× 269 0.8× 124 2.7k
D. Knittel France 23 198 0.3× 83 0.2× 178 0.4× 79 0.2× 233 0.7× 105 2.1k

Countries citing papers authored by Guoping Lian

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Lian. A scholar is included among the top collaborators of Guoping Lian 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 Guoping Lian. Guoping Lian 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.
Sebastia‐Saez, Daniel, et al.. (2025). Modelling drug permeation across the skin: a chemical engineering perspective. Physical Sciences Reviews. 10(1-2). 199–227. 1 indexed citations
2.
Tyowua, Andrew Terhemen, et al.. (2025). Hydration dynamics of hydrocolloid Particles. Part 1: Experimental investigation of water vapor sorption and bulk diffusion. Food Hydrocolloids. 170. 111734–111734.
3.
Hua, Leina, et al.. (2024). Numerical and experimental investigation of the effect of interstitial liquid viscosity on the collapse of wet granular columns. Chemical Engineering Science. 301. 120725–120725. 1 indexed citations
4.
Lian, Guoping, et al.. (2024). Computational Modelling of the Impact of Evaporation on In-Vitro Dermal Absorption. Pharmaceutical Research. 41(10). 1979–1990. 2 indexed citations
5.
Li, Weijun, et al.. (2024). A computational workflow for end-to-end simulation of percutaneous absorption. International Journal of Pharmaceutics. 670. 125084–125084. 2 indexed citations
6.
Cai, Qiong, et al.. (2023). An examination of published datasets of skin permeability and partition coefficients. Toxicology in Vitro. 93. 105702–105702. 4 indexed citations
7.
Evans, Marina V., et al.. (2023). A regression analysis using simple descriptors for multiple dermal datasets: Going from individual membranes to the full skin. Journal of Applied Toxicology. 43(6). 940–950. 3 indexed citations
8.
Wang, Huijun, Mark Fowler, David J. Messenger, et al.. (2021). Inhibition of the intestinal postprandial glucose transport by gallic acid and gallic acid derivatives. Food & Function. 12(12). 5399–5406. 18 indexed citations
9.
Lian, Guoping, et al.. (2020). In Silico Simulation of Simultaneous Percutaneous Absorption and Xenobiotic Metabolism: Model Development and a Case Study on Aromatic Amines. Pharmaceutical Research. 37(12). 241–241. 4 indexed citations
10.
Mishra, Puneet, Alison Nordon, Mohd Shahrimie Mohd Asaari, Guoping Lian, & Sally Redfern. (2019). Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling. Journal of Food Engineering. 249. 40–47. 56 indexed citations
11.
Li, Lingyi, et al.. (2019). Determination of Solute Diffusion Properties in Artificial Sebum. Journal of Pharmaceutical Sciences. 108(9). 3003–3010. 9 indexed citations
13.
Li, Lingyi, et al.. (2017). A Measurement and Modeling Study of Hair Partition of Neutral, Cationic, and Anionic Chemicals. Journal of Pharmaceutical Sciences. 107(4). 1122–1130. 3 indexed citations
15.
Lian, Guoping & Jonathan Seville. (2015). The capillary bridge between two spheres: New closed-form equations in a two century old problem. Advances in Colloid and Interface Science. 227. 53–62. 71 indexed citations
16.
Zhao, Yanyan, Jan K. Marzinek, Peter J. Bond, et al.. (2014). A Study on Fe2+ – α-Helical-Rich Keratin Complex Formation Using Isothermal Titration Calorimetry and Molecular Dynamics Simulation. Journal of Pharmaceutical Sciences. 103(4). 1224–1232. 9 indexed citations
17.
Chen, Longjian, et al.. (2014). In Silico Prediction of Percutaneous Absorption and Disposition Kinetics of Chemicals. Pharmaceutical Research. 32(5). 1779–1793. 46 indexed citations
18.
Lv, Piping, et al.. (2011). Uniform-sized silicone oil microemulsions: Preparation, investigation of stability and deposition on hair surface. Journal of Colloid and Interface Science. 364(1). 56–64. 30 indexed citations
19.
Jousse, Fabien, et al.. (2005). Compact model for multi-phase liquid–liquid flows in micro-fluidic devices. Lab on a Chip. 5(6). 646–646. 59 indexed citations
20.
Lian, Guoping, et al.. (2004). A mathematical model of volatile release in mouth from the dispersion of gelled emulsion particles. Journal of Controlled Release. 98(1). 139–155. 43 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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