Daniel Crespy

10.0k total citations · 2 hit papers
244 papers, 8.3k citations indexed

About

Daniel Crespy is a scholar working on Materials Chemistry, Biomaterials and Organic Chemistry. According to data from OpenAlex, Daniel Crespy has authored 244 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Materials Chemistry, 86 papers in Biomaterials and 76 papers in Organic Chemistry. Recurrent topics in Daniel Crespy's work include Advanced Polymer Synthesis and Characterization (44 papers), Polymer composites and self-healing (35 papers) and Electrospun Nanofibers in Biomedical Applications (34 papers). Daniel Crespy is often cited by papers focused on Advanced Polymer Synthesis and Characterization (44 papers), Polymer composites and self-healing (35 papers) and Electrospun Nanofibers in Biomedical Applications (34 papers). Daniel Crespy collaborates with scholars based in Thailand, Germany and China. Daniel Crespy's co-authors include Katharina Landfester, Farzad Seidi, Ratchapol Jenjob, Li‐Ping Lv, Shuai Jiang, Michael Rohwerder, Treethip Phakkeeree, René M. Rossi, Tiwa Yimyai and Yi Zhao and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Daniel Crespy

239 papers receiving 8.2k citations

Hit Papers

Corrosion‐Responsive Self... 2023 2026 2024 2023 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Daniel Crespy 3.2k 2.5k 2.4k 2.1k 2.0k 244 8.3k
Andrij Pich 2.8k 0.9× 2.7k 1.1× 3.1k 1.3× 2.9k 1.4× 1.3k 0.7× 346 9.7k
Yapei Wang 3.0k 1.0× 1.7k 0.7× 3.1k 1.3× 2.2k 1.1× 1.5k 0.8× 219 8.2k
Jinying Yuan 3.3k 1.1× 3.3k 1.3× 2.6k 1.1× 4.1k 2.0× 1.8k 0.9× 191 9.6k
Hirotaka Ejima 2.3k 0.7× 2.4k 1.0× 2.9k 1.2× 1.3k 0.6× 1.3k 0.7× 77 7.9k
Felix H. Schacher 3.5k 1.1× 2.5k 1.0× 1.4k 0.6× 4.3k 2.1× 1.9k 1.0× 252 8.4k
Sergio Moya 3.1k 1.0× 1.8k 0.7× 2.2k 0.9× 1.9k 0.9× 1.2k 0.6× 306 8.9k
Zushun Xu 3.4k 1.1× 2.1k 0.8× 4.0k 1.6× 1.3k 0.6× 1.2k 0.6× 248 8.5k
Ye‐Zi You 2.1k 0.7× 1.7k 0.7× 2.0k 0.8× 2.5k 1.2× 1.5k 0.8× 171 6.5k
Ming Jiang 4.6k 1.4× 3.1k 1.2× 2.1k 0.9× 4.7k 2.3× 1.7k 0.8× 298 10.8k
Guojie Wang 2.7k 0.9× 1.5k 0.6× 2.1k 0.9× 1.4k 0.7× 1.0k 0.5× 164 6.6k

Countries citing papers authored by Daniel Crespy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crespy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Crespy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Crespy. A scholar is included among the top collaborators of Daniel Crespy 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 Daniel Crespy. Daniel Crespy 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.
Fu, Fangqin, Yu Gao, Ting He, et al.. (2025). Physiological pH Transition‐Driven Protein Corona Dynamics Regulate Cellular Uptake and Inflammatory Responses of Silica Nanoparticles. Advanced Science. 12(43). e02788–e02788.
2.
He, Ting, Yuanyuan Niu, Volker Mailänder, et al.. (2025). The Distribution of Complement Proteins in Soft and Hard Coronas Impacts Macrophage Uptake of Nanoparticles. Advanced Healthcare Materials. 15(6). e03534–e03534. 1 indexed citations
3.
Crespy, Daniel, et al.. (2025). Redox-Responsive Polyprodrugs: Recent Innovations in Reduction- and Oxidation-Responsive Drug Delivery Systems. Chemistry of Materials. 37(6). 2073–2086. 5 indexed citations
4.
Crespy, Daniel, et al.. (2024). Multiple‐Temperature‐Responsive Double‐ and Triple‐Network Hydrogels. Macromolecular Rapid Communications. 46(9). e2400859–e2400859. 3 indexed citations
5.
Crespy, Daniel, et al.. (2024). CO 2 fixation: cycloaddition of CO 2 to epoxides using practical metal-free recyclable catalysts. Chemical Communications. 61(3). 419–440. 17 indexed citations
6.
Rehman, Hafeez ur, et al.. (2023). Polyhydroxyurethanes from Biobased Monomers and CO2: A Bridge between Sustainable Chemistry and CO2 Utilization. Chinese Journal of Chemistry. 42(6). 652–685. 26 indexed citations
7.
Madirov, Eduard, Aditya Chauhan, Bryce S. Richards, et al.. (2023). Absolute quantum yield of short-wave infrared luminescence of GdVO4:Yb3+, Er3+, Zn2+ nano- and microparticles. Optical Materials. 140. 113833–113833. 2 indexed citations
8.
Yimyai, Tiwa, Daniel Crespy, & Abdon Pena‐Francesch. (2023). Self‐Healing Photochromic Elastomer Composites for Wearable UV‐Sensors. Advanced Functional Materials. 33(20). 64 indexed citations
9.
Flood, Adrian E., et al.. (2023). Review of Crystallization in Nanoconfinement Created by Emulsions and Microemulsions for Pharmaceutical Applications. ACS Applied Nano Materials. 6(23). 21451–21461. 6 indexed citations
10.
Yimyai, Tiwa, Daniel Crespy, & Michael Rohwerder. (2023). Corrosion‐Responsive Self‐Healing Coatings. Advanced Materials. 35(47). e2300101–e2300101. 143 indexed citations breakdown →
11.
Theerasilp, Man, et al.. (2022). Responsive polyprodrug for anticancer nanocarriers. Polymer Chemistry. 13(45). 6274–6283. 2 indexed citations
12.
Jiang, Shuai, et al.. (2021). Design of Nanostructured Protective Coatings with a Sensing Function. ACS Applied Materials & Interfaces. 13(44). 53046–53054. 31 indexed citations
13.
Theerasilp, Man & Daniel Crespy. (2020). Self-reporting of payload release in polymer coatings based on the inner filter effect. Polymer Chemistry. 11(8). 1462–1470. 13 indexed citations
14.
Seidi, Farzad, et al.. (2019). PEGylation of shellac-based nanocarriers for enhanced colloidal stability. Colloids and Surfaces B Biointerfaces. 183. 110434–110434. 19 indexed citations
15.
Renz, Patricia, Johanna Simon, Ingo Lieberwirth, et al.. (2018). Highly Loaded Semipermeable Nanocapsules for Magnetic Resonance Imaging. Macromolecular Bioscience. 18(4). e1700387–e1700387. 10 indexed citations
16.
Seidi, Farzad, et al.. (2018). pH-Sensitive Polymer Conjugates for Anticorrosion and Corrosion Sensing. ACS Applied Materials & Interfaces. 10(24). 20876–20883. 67 indexed citations
17.
Seidi, Farzad, et al.. (2018). Hemiaminal ether linkages provide a selective release of payloads from polymer conjugates. Chemical Communications. 54(97). 13730–13733. 26 indexed citations
18.
Jiang, Shuai, Wei He, Katharina Landfester, Daniel Crespy, & Steven E. Mylon. (2017). The structure of fibers produced by colloid-electrospinning depends on the aggregation state of particles in the electrospinning feed. Polymer. 127. 101–105. 20 indexed citations
19.
Lv, Li‐Ping, et al.. (2017). Redox-responsive release of active payloads from depolymerized nanoparticles. RSC Advances. 7(14). 8272–8279. 20 indexed citations
20.
Pfahler, Christian, Alfred Plettl, P. Ziemann, et al.. (2007). Etching Masks Based on Miniemulsions: A Novel Route Towards Ordered Arrays of Surface Nanostructures. Advanced Materials. 19(10). 1337–1341. 53 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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