Daniel J. Curtis

1.5k total citations
41 papers, 1.1k citations indexed

About

Daniel J. Curtis is a scholar working on Pulmonary and Respiratory Medicine, Fluid Flow and Transfer Processes and Materials Chemistry. According to data from OpenAlex, Daniel J. Curtis has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 14 papers in Fluid Flow and Transfer Processes and 13 papers in Materials Chemistry. Recurrent topics in Daniel J. Curtis's work include Blood properties and coagulation (18 papers), Rheology and Fluid Dynamics Studies (14 papers) and Graphene research and applications (10 papers). Daniel J. Curtis is often cited by papers focused on Blood properties and coagulation (18 papers), Rheology and Fluid Dynamics Studies (14 papers) and Graphene research and applications (10 papers). Daniel J. Curtis collaborates with scholars based in United Kingdom, United States and Dominican Republic. Daniel J. Curtis's co-authors include Karl Hawkins, D. Kurt Gaskill, P. R. Williams, P. M. Campbell, Charles R. Eddy, Glenn G. Jernigan, Rachael L. Myers‐Ward, Ming Hu, Brenda L. VanMil and J. L. Tedesco and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Anesthesia & Analgesia.

In The Last Decade

Daniel J. Curtis

41 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
Daniel J. Curtis United Kingdom 17 630 411 313 205 152 41 1.1k
Kento Yasuda Japan 13 120 0.2× 36 0.1× 284 0.9× 54 0.3× 33 0.2× 44 891
Gary L. Leal United States 11 167 0.3× 42 0.1× 144 0.5× 24 0.1× 42 0.3× 238 705
Nianhuan Chen United States 13 94 0.1× 81 0.2× 172 0.5× 328 1.6× 14 0.1× 14 1.0k
Luca Lanotte France 12 41 0.1× 74 0.2× 220 0.7× 33 0.2× 299 2.0× 28 665
Arkadii Arinstein Israel 18 178 0.3× 217 0.5× 620 2.0× 50 0.2× 12 0.1× 37 1.1k
F. A. Blyakhman Russia 16 76 0.1× 77 0.2× 370 1.2× 110 0.5× 18 0.1× 82 775
Patrícia C. Sousa Portugal 17 46 0.1× 114 0.3× 496 1.6× 14 0.1× 222 1.5× 47 981
Zhuping Huang China 24 1.4k 2.2× 85 0.2× 341 1.1× 209 1.0× 8 0.1× 59 3.0k
Masanori Sakai Japan 14 208 0.3× 561 1.4× 74 0.2× 39 0.2× 10 0.1× 47 1.1k
Jincheng Lei China 17 316 0.5× 67 0.2× 290 0.9× 44 0.2× 6 0.0× 31 796

Countries citing papers authored by Daniel J. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Curtis. A scholar is included among the top collaborators of Daniel J. Curtis 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 J. Curtis. Daniel J. Curtis 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.
Moreno, Nicolás, et al.. (2025). Mesoscale modelling of fibrin clots: the interplay between rheology and microstructure at the gel point. Soft Matter. 21(6). 1141–1151. 2 indexed citations
2.
McKinley, Gareth H., et al.. (2024). σOWCh: Optimally Windowed Chirp rheometry using combined motor transducer/single head rheometers. Journal of Non-Newtonian Fluid Mechanics. 333. 105307–105307. 3 indexed citations
3.
Davies, A.R., et al.. (2024). The Gordon–Schowalter/Johnson–Segalman model in parallel and orthogonal superposition rheometry and its application in the study of worm-like micellular systems. Journal of Non-Newtonian Fluid Mechanics. 327. 105216–105216. 1 indexed citations
4.
Curtis, Daniel J., et al.. (2023). The effect of instrument inertia on the initiation of oscillatory flow in stress controlled rheometry. Journal of Rheology. 67(6). 1175–1187. 3 indexed citations
5.
Davies, A.R. & Daniel J. Curtis. (2022). Volterra kernels, Oldroyd models, and interconversion in superposition rheometry. Science Talks. 3. 100060–100060. 3 indexed citations
6.
Curtis, Daniel J. & A.R. Davies. (2021). Volterra kernels, Oldroyd models, and interconversion in superposition rheometry. Journal of Non-Newtonian Fluid Mechanics. 293. 104554–104554. 5 indexed citations
7.
8.
Badiei, Nafiseh, et al.. (2018). Control of collagen gel mechanical properties through manipulation of gelation conditions near the sol–gel transition. Soft Matter. 14(4). 574–580. 60 indexed citations
9.
Curtis, Daniel J., et al.. (2017). Formulation, characterisation and flexographic printing of novel Boger fluids to assess the effects of ink elasticity on print uniformity. Rheologica Acta. 57(2). 105–112. 16 indexed citations
10.
11.
Jenkins, Lucy, Daniel J. Curtis, Nafiseh Badiei, et al.. (2017). Linear rheology as a potential monitoring tool for sputum in patients with Chronic Obstructive Pulmonary Disease (COPD). Biorheology. 54(2-4). 67–80. 5 indexed citations
12.
Curtis, Daniel J., et al.. (2016). In-situ synthesis of magnetic iron-oxide nanoparticle-nanofibre composites using electrospinning. Materials Science and Engineering C. 70(Pt 1). 512–519. 33 indexed citations
13.
Lawrence, Matthew, Roger H. Morris, Gareth Davies, et al.. (2015). The Effects of Temperature on Clot Microstructure and Strength in Healthy Volunteers. Anesthesia & Analgesia. 122(1). 21–26. 11 indexed citations
14.
Curtis, Daniel J., Nafiseh Badiei, Davide Deganello, et al.. (2014). Assessment of the stress relaxation characteristics of critical gels formed under unidirectional shear flow by controlled stress parallel superposition rheometry. Journal of Non-Newtonian Fluid Mechanics. 222. 227–233. 11 indexed citations
15.
Lawrence, Matthew, Ahmed Sabra, Karl Hawkins, et al.. (2014). A new biomarker quantifies differences in clot microstructure in patients with venous thromboembolism. British Journal of Haematology. 168(4). 571–575. 28 indexed citations
16.
Hawkins, Karl, et al.. (2010). The development of rheometry for strain-sensitive gelling systems and its application in a study of fibrin–thrombin gel formation. Rheologica Acta. 49(9). 891–900. 11 indexed citations
17.
Moon, Jeong‐Sun, Daniel J. Curtis, Ming Hu, et al.. (2010). Top-Gated Epitaxial Graphene FETs on Si-Face SiC Wafers With a Peak Transconductance of 600 mS/mm. IEEE Electron Device Letters. 31(4). 260–262. 110 indexed citations
18.
Moon, J. S., Daniel J. Curtis, Ming Hu, et al.. (2009). Epitaxial-Graphene RF Field-Effect Transistors on Si-Face 6H-SiC Substrates. IEEE Electron Device Letters. 30(6). 650–652. 265 indexed citations
19.
Moon, J. S., Daniel J. Curtis, Ming Hu, et al.. (2009). Development toward Wafer-Scale Graphene RF Electronics. ECS Transactions. 19(5). 35–40. 9 indexed citations
20.
Curtis, Daniel J., et al.. (1968). Long Term Stability and Performance of Platinum Resistance Thermometers for Use to 1063° C. Metrologia. 4(4). 184–190. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kento Yasuda Breakdown of academic impact, for papers by Gary L. Leal Breakdown of academic impact, for papers by Nianhuan Chen Breakdown of academic impact, for papers by Luca Lanotte Breakdown of academic impact, for papers by Arkadii Arinstein Breakdown of academic impact, for papers by F. A. Blyakhman Breakdown of academic impact, for papers by Patrícia C. Sousa Breakdown of academic impact, for papers by Zhuping Huang Breakdown of academic impact, for papers by Masanori Sakai Breakdown of academic impact, for papers by Jincheng Lei
Rankless by CCL
2026