Daniel Spencer

1.1k total citations
24 papers, 898 citations indexed

About

Daniel Spencer is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Clinical Biochemistry. According to data from OpenAlex, Daniel Spencer has authored 24 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 11 papers in Electrical and Electronic Engineering and 3 papers in Clinical Biochemistry. Recurrent topics in Daniel Spencer's work include Microfluidic and Bio-sensing Technologies (16 papers), Electrical and Bioimpedance Tomography (7 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Daniel Spencer is often cited by papers focused on Microfluidic and Bio-sensing Technologies (16 papers), Electrical and Bioimpedance Tomography (7 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Daniel Spencer collaborates with scholars based in United Kingdom, Russia and United States. Daniel Spencer's co-authors include Hywel Morgan, Victoria Hollis, Federica Caselli, Paolo Bisegna, J. Mark Sutton, Timothy J. J. Inglis, Carlos Honrado, Richard O. C. Oreffo, Miguel Xavier and Helen Bridle and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Spencer

23 papers receiving 887 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 Spencer United Kingdom 14 749 318 145 63 47 24 898
Carlos Honrado United States 16 650 0.9× 279 0.9× 148 1.0× 12 0.2× 53 1.1× 26 743
Helena C. Zec United States 11 426 0.6× 160 0.5× 184 1.3× 43 0.7× 20 0.4× 15 562
Mingde Zhu United States 13 1.4k 1.8× 204 0.6× 254 1.8× 16 0.3× 33 0.7× 21 1.5k
Xinwu Xie China 10 438 0.6× 195 0.6× 140 1.0× 7 0.1× 17 0.4× 23 581
John S. McGrath United Kingdom 12 595 0.8× 247 0.8× 117 0.8× 5 0.1× 14 0.3× 15 720
Jianwei Zhong Singapore 14 249 0.3× 83 0.3× 61 0.4× 11 0.2× 16 0.3× 28 399
Leon D. Li United States 5 589 0.8× 115 0.4× 90 0.6× 8 0.1× 6 0.1× 6 745
Harisha Ramachandraiah Sweden 14 428 0.6× 108 0.3× 70 0.5× 37 0.6× 16 0.3× 24 500
Jonas Hansson Sweden 15 344 0.5× 119 0.4× 182 1.3× 24 0.4× 6 0.1× 36 683

Countries citing papers authored by Daniel Spencer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Spencer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Spencer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Spencer. A scholar is included among the top collaborators of Daniel Spencer 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 Spencer. Daniel Spencer 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.
Spencer, Daniel, et al.. (2025). Single-cell impedance spectroscopy of nucleated cells. Lab on a Chip. 25(12). 2939–2948. 1 indexed citations
2.
Bock, Lucy J., Daniel Spencer, Craig Daniels, et al.. (2025). Rapid impedance-based Antimicrobial Susceptibility Testing (iFAST) of Enterobacterales in urinary tract infections. Journal of Infection. 91(2). 106549–106549. 1 indexed citations
3.
Spencer, Daniel, et al.. (2024). Single-cell electro-mechanical shear flow deformability cytometry. Microsystems & Nanoengineering. 10(1). 173–173. 4 indexed citations
4.
Spencer, Daniel, et al.. (2024). A combined electro-optical deformability micro-cytometer. RSC Advances. 14(46). 34270–34278. 2 indexed citations
5.
Ali, Amjad, et al.. (2024). A Novel Wearable Sensor for Measuring Respiration Continuously and in Real Time. Sensors. 24(20). 6513–6513. 2 indexed citations
6.
Pabortsava, Katsiaryna, et al.. (2024). Discrimination of Microplastics and Phytoplankton Using Impedance Cytometry. ACS Sensors. 9(10). 5206–5213. 5 indexed citations
7.
Ali, Amjad, Yang Wei, Alexander Jackson, et al.. (2024). Enhancing the Response of a Wearable Sensor for Improved Respiratory Rate (RR) Monitoring. IEEE Access. 12. 180913–180925.
8.
Hayward, Nick, Yang Wei, Daniel Spencer, et al.. (2022). A capaciflector provides continuous and accurate respiratory rate monitoring for patients at rest and during exercise. Journal of Clinical Monitoring and Computing. 36(5). 1535–1546. 8 indexed citations
9.
Elkington, Paul, Alex Dickinson, Mark Mavrogordato, et al.. (2021). A Personal Respirator to Improve Protection for Healthcare Workers Treating COVID-19 (PeRSo). SHILAP Revista de lepidopterología. 3. 664259–664259. 4 indexed citations
10.
Spencer, Daniel, et al.. (2020). A fast impedance-based antimicrobial susceptibility test. Nature Communications. 11(1). 5328–5328. 129 indexed citations
11.
Spencer, Daniel & Hywel Morgan. (2020). High-Speed Single-Cell Dielectric Spectroscopy. ACS Sensors. 5(2). 423–430. 104 indexed citations
12.
McGrath, John S., et al.. (2017). Analysis of Parasitic Protozoa at the Single-cell Level using Microfluidic Impedance Cytometry. Scientific Reports. 7(1). 2601–2601. 69 indexed citations
13.
Xavier, Miguel, María C. de Andrés, Daniel Spencer, Richard O. C. Oreffo, & Hywel Morgan. (2017). Size and dielectric properties of skeletal stem cells change critically after enrichment and expansion from human bone marrow: consequences for microfluidic cell sorting. Journal of The Royal Society Interface. 14(133). 20170233–20170233. 25 indexed citations
14.
Xavier, Miguel, Philipp Rosendahl, Maik Herbig, et al.. (2016). Mechanical phenotyping of primary human skeletal stem cells in heterogeneous populations by real-time deformability cytometry. Integrative Biology. 8(5). 616–623. 46 indexed citations
15.
Spencer, Daniel, Federica Caselli, Paolo Bisegna, & Hywel Morgan. (2016). High accuracy particle analysis using sheathless microfluidic impedance cytometry. Lab on a Chip. 16(13). 2467–2473. 72 indexed citations
16.
Spencer, Daniel, Victoria Hollis, & Hywel Morgan. (2014). Microfluidic impedance cytometry of tumour cells in blood. Biomicrofluidics. 8(6). 64124–64124. 61 indexed citations
17.
Spencer, Daniel, et al.. (2014). A sheath-less combined optical and impedance micro-cytometer. Lab on a Chip. 14(16). 3064–3073. 55 indexed citations
18.
Hollis, Victoria, Judith A. Holloway, Scott Harris, et al.. (2012). Comparison of Venous and Capillary Differential Leukocyte Counts Using a Standard Hematology Analyzer and a Novel Microfluidic Impedance Cytometer. PLoS ONE. 7(9). e43702–e43702. 34 indexed citations
19.
Barat, David, et al.. (2011). Simultaneous high speed optical and impedance analysis of single particles with a microfluidic cytometer. Lab on a Chip. 12(1). 118–126. 46 indexed citations
20.
Spencer, Daniel & Hywel Morgan. (2011). Positional dependence of particles in microfludic impedance cytometry. Lab on a Chip. 11(7). 1234–1234. 75 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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