Daniele Parisi

1.4k total citations
62 papers, 1.1k citations indexed

About

Daniele Parisi is a scholar working on Polymers and Plastics, Fluid Flow and Transfer Processes and Biomaterials. According to data from OpenAlex, Daniele Parisi has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Polymers and Plastics, 24 papers in Fluid Flow and Transfer Processes and 14 papers in Biomaterials. Recurrent topics in Daniele Parisi's work include Rheology and Fluid Dynamics Studies (24 papers), Polymer crystallization and properties (19 papers) and Material Dynamics and Properties (10 papers). Daniele Parisi is often cited by papers focused on Rheology and Fluid Dynamics Studies (24 papers), Polymer crystallization and properties (19 papers) and Material Dynamics and Properties (10 papers). Daniele Parisi collaborates with scholars based in Netherlands, United States and Greece. Daniele Parisi's co-authors include Dimitris Vlassopoulos, Giancarlo Fortino, Giuseppe Di Fatta, Michael Rubinstein, Ralph H. Colby, Taihyun Chang, Junyoung Ahn, Ole Hassager, Jiho Seo and Qian Huang and has published in prestigious journals such as Physical Review Letters, Advanced Materials and The Journal of Chemical Physics.

In The Last Decade

Daniele Parisi

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Parisi Netherlands 18 383 321 252 245 176 62 1.1k
Naoki Nishikawa Japan 19 87 0.2× 39 0.1× 283 1.1× 214 0.9× 113 0.6× 64 1.0k
Roozbeh Dargazany United States 20 530 1.4× 163 0.5× 160 0.6× 605 2.5× 78 0.4× 75 1.2k
Ju Hyun Park South Korea 21 327 0.9× 18 0.1× 569 2.3× 365 1.5× 82 0.5× 82 1.5k
Jörg Läuger Germany 18 149 0.4× 308 1.0× 410 1.6× 281 1.1× 196 1.1× 37 1.3k
Kento Yasuda Japan 13 206 0.5× 249 0.8× 120 0.5× 284 1.2× 90 0.5× 44 891
Ching-Wei Lee United States 14 89 0.2× 171 0.5× 106 0.4× 93 0.4× 33 0.2× 21 437
Junho Lee South Korea 22 113 0.3× 12 0.0× 328 1.3× 252 1.0× 272 1.5× 87 1.7k
S.J. Sutton United Kingdom 22 504 1.3× 41 0.1× 944 3.7× 406 1.7× 151 0.9× 89 1.4k
Zhenlong Li China 15 142 0.4× 15 0.0× 193 0.8× 126 0.5× 128 0.7× 21 698

Countries citing papers authored by Daniele Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Parisi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Parisi. A scholar is included among the top collaborators of Daniele Parisi 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 Daniele Parisi. Daniele Parisi 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.
Nguyen, Thach, et al.. (2025). An Exploration of the Interplay Between Caffeine and Antidepressants Through the Lens of Pharmacokinetics and Pharmacodynamics. European Journal of Drug Metabolism and Pharmacokinetics. 50(1). 1–15. 1 indexed citations
2.
Dieudonné-George, Philippe, Marc C. A. Stuart, Christos N. Likos, et al.. (2025). Glass Transition and Yielding of Ultrasoft Charged Spherical Micelles. Macromolecules. 58(18). 9724–9739.
3.
Chen, Jingying, Danny Chan, Tao Yang, et al.. (2025). Bio-degradable, fully bio-based, thermally cross-linked superabsorbent polymers from citric acid and glycerol. Green Chemistry. 27(12). 3234–3247. 6 indexed citations
4.
Kamperman, Marleen, et al.. (2025). Assessing the dynamics of symmetric and asymmetric hyaluronic acid–chitosan complex coacervates. Soft Matter. 21(46). 8935–8950.
5.
Parisi, Daniele, et al.. (2024). Minimally designed thermo-magnetic dual responsive soft robots for complex applications. Journal of Materials Chemistry B. 12(22). 5339–5349. 3 indexed citations
6.
Amirsadeghi, Armin, et al.. (2024). Melt Electrowriting of Elastic Scaffolds Using PEOT‐PBT Multi‐block Copolymer. Advanced Healthcare Materials. 14(3). e2402914–e2402914. 4 indexed citations
7.
Różański, Artur, Yingxin Liu, Daniele Parisi, et al.. (2024). i PP/HDPE blends compatibilized by a polyester: An unconventional concept to valuable products. Science Advances. 10(21). eado1944–eado1944. 11 indexed citations
8.
Koch, Marcus, et al.. (2024). Water-Driven Sol–Gel Transition in Native Cellulose/1-Ethyl-3-methylimidazolium Acetate Solutions. ACS Macro Letters. 219–226. 8 indexed citations
9.
Costanzo, Salvatore, Daniele Parisi, Thomas Schweizer, & Dimitris Vlassopoulos. (2024). REVIEW: Nonlinear shear rheometry: Brief history, recent progress, and challenges. Journal of Rheology. 68(6). 1013–1036. 8 indexed citations
10.
Parisi, Daniele, et al.. (2024). A NOVEL SBS COMPOUND VIA BLENDING WITH PS-B-PMBL DIBLOCK COPOLYMER FOR ENHANCED MECHANICAL PROPERTIES. Rubber Chemistry and Technology. 97(2). 162–189. 4 indexed citations
11.
Amirsadeghi, Armin, Peter Dijkstra, Daniele Parisi, et al.. (2023). Bioinspired Processing: Complex Coacervates as Versatile Inks for 3D Bioprinting. Advanced Materials. 35(28). e2210769–e2210769. 32 indexed citations
12.
Parisi, Daniele, et al.. (2023). Undershoots in shear startup of entangled linear polymer blends. Journal of Non-Newtonian Fluid Mechanics. 315. 105028–105028. 9 indexed citations
13.
Govindappa, Prem Kumar, et al.. (2021). (4-Aminopyridine)–PLGA–PEG as a Novel Thermosensitive and Locally Injectable Treatment for Acute Peripheral Nerve Injury. ACS Applied Bio Materials. 4(5). 4140–4151. 14 indexed citations
14.
Parisi, Daniele, M. Kaliva, Salvatore Costanzo, et al.. (2021). Nonlinear rheometry of entangled polymeric rings and ring-linear blends. Journal of Rheology. 65(4). 695–711. 37 indexed citations
15.
Parisi, Daniele, Salvatore Costanzo, Youncheol Jeong, et al.. (2021). Nonlinear Shear Rheology of Entangled Polymer Rings. Macromolecules. 54(6). 2811–2827. 71 indexed citations
16.
Seo, Jiho, Anne M. Gohn, Richard P. Schaake, et al.. (2020). Shear Flow-Induced Crystallization of Poly(ether ether ketone). Macromolecules. 53(9). 3472–3481. 21 indexed citations
17.
Parisi, Daniele, Jiho Seo, Behzad Nazari, et al.. (2020). Shear-Induced Isotropic–Nematic Transition in Poly(ether ether ketone) Melts. ACS Macro Letters. 9(7). 950–956. 17 indexed citations
18.
Bilchak, Connor R., Yucheng Huang, Zaid M. Abbas, et al.. (2020). Tuning Selectivities in Gas Separation Membranes Based on Polymer-Grafted Nanoparticles. ACS Nano. 14(12). 17174–17183. 72 indexed citations
19.
Parisi, Daniele, Christopher Riley, Abhishek Srivastava, et al.. (2019). PET hydrolysing enzymes catalyse bioplastics precursor synthesis under aqueous conditions. Green Chemistry. 21(14). 3827–3833. 10 indexed citations
20.
Parisi, Daniele, et al.. (2019). Transition from Confined to Bulk Dynamics in Symmetric Star–Linear Polymer Mixtures. Macromolecules. 52(15). 5872–5883. 7 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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