Daniel McCluskey

1.8k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Daniel McCluskey is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Ecology. According to data from OpenAlex, Daniel McCluskey has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 3 papers in Ecology. Recurrent topics in Daniel McCluskey's work include Microfluidic and Bio-sensing Technologies (7 papers), Biosensors and Analytical Detection (6 papers) and Electrowetting and Microfluidic Technologies (5 papers). Daniel McCluskey is often cited by papers focused on Microfluidic and Bio-sensing Technologies (7 papers), Biosensors and Analytical Detection (6 papers) and Electrowetting and Microfluidic Technologies (5 papers). Daniel McCluskey collaborates with scholars based in United Kingdom, China and United States. Daniel McCluskey's co-authors include M.C. Tracey, Christabel Tan, Ian Johnston, Martin B. McDonnell, Elsa João, Wenbin Zhang, Hongwei Wu, Hamza Babar, Chao Zhou and Tayyab Raza Shah and has published in prestigious journals such as Advances in Colloid and Interface Science, Biosensors and Bioelectronics and RSC Advances.

In The Last Decade

Daniel McCluskey

15 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mechanical characterization of bulk Sylgard 184 for microfluidics and microengineering

2014 1.2k citations Ian Johnston, Daniel McCluskey et al. Journal of Micromechanics and Microengineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel McCluskey United Kingdom	8	1.0k	349	241	174	153	15	1.4k
Christabel Tan United Kingdom	10	1.1k 1.0×	370 1.1×	204 0.8×	174 1.0×	156 1.0×	16	1.5k
M.C. Tracey United Kingdom	13	1.2k 1.1×	394 1.1×	211 0.9×	177 1.0×	155 1.0×	24	1.6k
Hangbo Zhao United States	21	1.0k 1.0×	408 1.2×	521 2.2×	92 0.5×	230 1.5×	42	1.6k
Hong Hu China	21	758 0.7×	352 1.0×	182 0.8×	397 2.3×	237 1.5×	56	1.3k
Shanliangzi Liu United States	17	1.0k 1.0×	509 1.5×	421 1.7×	188 1.1×	234 1.5×	23	1.5k
Yongling Wu China	18	558 0.5×	306 0.9×	388 1.6×	112 0.6×	225 1.5×	84	1.4k
Cheng-Tang Pan Taiwan	22	1.1k 1.0×	452 1.3×	305 1.3×	79 0.5×	393 2.6×	106	1.5k
Hongyu Luo China	18	412 0.4×	429 1.2×	280 1.2×	215 1.2×	141 0.9×	43	1.1k
Wonkyu Moon South Korea	21	926 0.9×	569 1.6×	284 1.2×	219 1.3×	186 1.2×	139	1.6k
Zhixin Wang China	13	558 0.5×	215 0.6×	275 1.1×	261 1.5×	197 1.3×	46	1.1k

Countries citing papers authored by Daniel McCluskey

Since Specialization

Citations

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

Fields of papers citing papers by Daniel McCluskey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel McCluskey

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel McCluskey. A scholar is included among the top collaborators of Daniel McCluskey 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 McCluskey. Daniel McCluskey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Tarn, Mark D., Kirsty J. Shaw, Jonathan West, et al.. (2025). Microfluidics for the biological analysis of atmospheric ice-nucleating particles: Perspectives and challenges. Biomicrofluidics. 19(1). 11502–11502. 1 indexed citations

Babar, Hamza, Hongwei Wu, Wenbin Zhang, et al.. (2024). The promise of nanofluids: A bibliometric journey through advanced heat transfer fluids in heat exchanger tubes. Advances in Colloid and Interface Science. 325. 103112–103112. 48 indexed citations

Dimov, Nikolay, et al.. (2020). Electrowetting-based Digital Microfluidics Platform for Automated Enzyme-linked Immunosorbent Assay. Journal of Visualized Experiments. 9 indexed citations

Dimov, Nikolay, et al.. (2020). Electrowetting-based Digital Microfluidics Platform for Automated Enzyme-linked Immunosorbent Assay. Journal of Visualized Experiments. 1 indexed citations

Cao, Pan, et al.. (2020). Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. 4955–4960. 5 indexed citations

McDonnell, Martin B., et al.. (2018). Fully integrated digital microfluidics platform for automated immunoassay; A versatile tool for rapid, specific detection of a wide range of pathogens. Biosensors and Bioelectronics. 128. 52–60. 64 indexed citations

McDonnell, Martin B., et al.. (2017). Protein droplet actuation on superhydrophobic surfaces: a new approach toward anti-biofouling electrowetting systems. RSC Advances. 7(78). 49633–49648. 23 indexed citations

McCluskey, Daniel, et al.. (2016). A prototype personal aerosol sampler based on electrostatic precipitation and electrowetting-on-dielectric actuation of droplets. Journal of Aerosol Science. 95. 43–53. 26 indexed citations

Tan, Christabel, et al.. (2015). Electromagnetic stirring in a microbioreactor with non‐conventional chamber morphology and implementation of multiplexed mixing. Journal of Chemical Technology & Biotechnology. 90(10). 1927–1936. 6 indexed citations

10.

Johnston, Ian, Daniel McCluskey, Christabel Tan, & M.C. Tracey. (2014). Mechanical characterization of bulk Sylgard 184 for microfluidics and microengineering. Journal of Micromechanics and Microengineering. 24(3). 35017–35017. 1188 indexed citations breakdown →

11.

Johnston, Ian, et al.. (2014). Dean flow focusing and separation of small microspheres within a narrow size range. Microfluidics and Nanofluidics. 17(3). 509–518. 45 indexed citations

12.

McCluskey, Daniel & Elsa João. (2010). The promotion of environmental enhancement in Strategic Environmental Assessment. Environmental Impact Assessment Review. 31(3). 344–351. 24 indexed citations

13.

McCluskey, Daniel, et al.. (2009). Optimizing the hydrocyclone for ballast water treatment using computational fluid dynamics. The International Journal of Multiphysics. 3(3). 221–234. 4 indexed citations

14.

McCluskey, Daniel, et al.. (2006). A Review of Ballast Water Technologies. University of Hertfordshire Research Archive (University of Hertfordshire). 21–29. 2 indexed citations

15.

McCluskey, Daniel, et al.. (2005). An Overview of Ballast Water Treatment Methods. 317–325. 1 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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