Andrew Stephens

446 total citations
17 papers, 282 citations indexed

About

Andrew Stephens is a scholar working on Biomedical Engineering, Molecular Biology and Hematology. According to data from OpenAlex, Andrew Stephens has authored 17 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Andrew Stephens's work include Microfluidic and Bio-sensing Technologies (6 papers), Hemoglobinopathies and Related Disorders (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Andrew Stephens is often cited by papers focused on Microfluidic and Bio-sensing Technologies (6 papers), Hemoglobinopathies and Related Disorders (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Andrew Stephens collaborates with scholars based in United States, United Kingdom and China. Andrew Stephens's co-authors include Katsuo Kurabayashi, Yujing Song, Benjamin H. Singer, Meng Ting Chung, Monalisa Ghosh, Michael W. Newstead, Muneesh Tewari, Jingyang Zhao, Sung Won Choi and Erin Sandford and has published in prestigious journals such as Small, Biosensors and Bioelectronics and Lab on a Chip.

In The Last Decade

Andrew Stephens

16 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Stephens United States 9 113 78 77 50 46 17 282
Kai‐Chun Chang Taiwan 12 100 0.9× 66 0.8× 156 2.0× 4 0.1× 59 1.3× 39 393
Erik Westin Sweden 12 23 0.2× 38 0.5× 201 2.6× 19 0.4× 27 0.6× 33 461
Man Hu China 12 33 0.3× 113 1.4× 77 1.0× 8 0.2× 4 0.1× 31 318
Matthew K. Runyon United States 10 173 1.5× 33 0.4× 80 1.0× 109 2.2× 10 0.2× 12 401
Jes Kristian Jacobsen Denmark 6 52 0.5× 21 0.3× 203 2.6× 38 0.8× 11 0.2× 7 361
Crispin Szydzik Australia 11 267 2.4× 92 1.2× 88 1.1× 17 0.3× 3 0.1× 24 368
Daisuke Fukushi Japan 14 55 0.5× 62 0.8× 204 2.6× 3 0.1× 11 0.2× 35 413
Tadas Kasputis United States 12 140 1.2× 61 0.8× 108 1.4× 6 0.1× 5 0.1× 16 327
Jun Komatsu Japan 9 164 1.5× 58 0.7× 219 2.8× 6 0.1× 3 0.1× 15 400
Tomoko Tsutsui Japan 8 173 1.5× 59 0.8× 234 3.0× 6 0.1× 7 0.2× 9 406

Countries citing papers authored by Andrew Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Stephens

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

All Works

17 of 17 papers shown
1.
Song, Yujing, Andrew Stephens, Huiyin Deng, et al.. (2025). High-temporal-resolution on-site multiplex biomarker monitoring in small animals using microfluidic digital ELISA. Biosensors and Bioelectronics. 288. 117820–117820. 1 indexed citations
2.
Stephens, Andrew, Yujing Song, Brandon L. McClellan, et al.. (2023). Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning. Biosensors and Bioelectronics. 237. 115536–115536. 14 indexed citations
3.
Song, Yujing, Andrew Stephens, Molly C. McCloskey, et al.. (2022). A tissue chip with integrated digital immunosensors: In situ brain endothelial barrier cytokine secretion monitoring. Biosensors and Bioelectronics. 224. 115030–115030. 26 indexed citations
4.
Libardoni, Mark, Grover P. Miller, Kelly E. Miller, et al.. (2022). MEMS GC Column Performance for Analyzing Organics and Biological Molecules for Future Landed Planetary Missions. Frontiers in Astronomy and Space Sciences. 9. 9 indexed citations
5.
Song, Yujing, Jingyang Zhao, Andrew Stephens, et al.. (2021). Machine learning-based cytokine microarray digital immunoassay analysis. Biosensors and Bioelectronics. 180. 113088–113088. 44 indexed citations
6.
Song, Yujing, Michael W. Newstead, Mengxi Wu, et al.. (2021). Ultrasensitive Multiparameter Phenotyping of Rare Cells Using an Integrated Digital‐Molecular‐Counting Microfluidic Well Plate. Small. 17(31). e2101743–e2101743. 6 indexed citations
7.
Song, Yujing, Andrew Stephens, Meng Ting Chung, et al.. (2020). A digital protein microarray for COVID-19 cytokine storm monitoring. Lab on a Chip. 21(2). 331–343. 37 indexed citations
8.
Mendivil, Alberto A., James E. Kendrick, Lisa N. Abaid, et al.. (2020). 12 Oncolytic vaccinia (Olvi-Vec) primed immunochemotherapy in platinum-resistant/refractory ovarian cancer. A9–A10. 4 indexed citations
9.
Orton, Glenn S., Arrate Antuñano, Leigh N. Fletcher, et al.. (2019). Juno and Juno-Supporting Observations of Jupiter's 2018-2019 Equatorial Zone Disturbance. 2019. 1 indexed citations
10.
Stephens, Andrew, Robert Nidetz, Meng Ting Chung, et al.. (2019). Mass-producible microporous silicon membranes for specific leukocyte subset isolation, immunophenotyping, and personalized immunomodulatory drug screening in vitro. Lab on a Chip. 19(18). 3065–3076. 7 indexed citations
12.
Stephens, Andrew. (1997). Effectiveness of 0.08 molar iodine in ethanol solution as a means of chemical surface passivation for photoconductance decay measurements. Solar Energy Materials and Solar Cells. 45(3). 255–265. 68 indexed citations
13.
Reilly, John T., Barbara J. Bain, J. M. England, et al.. (1996). The role of cytology, cytochemistry, immunophenotyping and cytogenetic analysis in the diagnosis of haematological neoplasms. Clinical & Laboratory Haematology. 18(4). 231–236. 6 indexed citations
14.
Bhavnani, M., M Brozović, Barbara J. Bain, et al.. (1994). Guidelines for investigation of the alpha and beta thalassaemia traits. The Thalassaemia Working Party of the BCSH General Haematology Task Force.. Journal of Clinical Pathology. 47(4). 289–295. 32 indexed citations
15.
Bhavnani, M., M Brozović, Barbara J. Bain, et al.. (1994). Guidelines for the fetal diagnosis of globin gene disorders. Globin Gene Disorder Working Party of the BCSH General Haematology Task Force.. Journal of Clinical Pathology. 47(3). 199–204. 12 indexed citations
16.
Rowan, R. M., James A. Bain, Karen Hyde, et al.. (1994). Immunophenotyping in the diagnosis of acute leukaemias. General Haematology Task Force of BCSH.. Journal of Clinical Pathology. 47(9). 777–781. 13 indexed citations
17.
Drew, Richard J., et al.. (1987). Haemoglobin A/F Ratio in Neonates at 7 Days Correlated with Birth Weight and Estimated Gestational Age. Acta Haematologica. 78(2-3). 144–148. 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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