Michael D. Vahey

2.2k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Michael D. Vahey is a scholar working on Biomedical Engineering, Molecular Biology and Epidemiology. According to data from OpenAlex, Michael D. Vahey has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Michael D. Vahey's work include Microfluidic and Bio-sensing Technologies (8 papers), Influenza Virus Research Studies (7 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Michael D. Vahey is often cited by papers focused on Microfluidic and Bio-sensing Technologies (8 papers), Influenza Virus Research Studies (7 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Michael D. Vahey collaborates with scholars based in United States, Sweden and Italy. Michael D. Vahey's co-authors include Joel Voldman, Daniel A. Fletcher, Arunan Skandarajah, Matthew C. Good, Rebecca Heald, Yet‐Ming Chiang, Francesco Stellacci, Robert Barsotti, Ryan C. Wartena and Matthew D. Lew and has published in prestigious journals such as Science, Cell and Analytical Chemistry.

In The Last Decade

Michael D. Vahey

27 papers receiving 1.3k citations

Hit Papers

Macromolecular condensation organizes nucleolar sub-phase... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Vahey United States 14 634 533 237 182 127 28 1.3k
Ralph Wieneke Germany 20 488 0.8× 656 1.2× 156 0.7× 96 0.5× 63 0.5× 37 1.3k
Eric Brouzés United States 13 1.6k 2.5× 612 1.1× 643 2.7× 138 0.8× 37 0.3× 24 2.1k
Siddharth Deshpande Netherlands 22 683 1.1× 1.0k 2.0× 111 0.5× 118 0.6× 33 0.3× 52 1.8k
Jaime Ortega Arroyo United States 18 553 0.9× 509 1.0× 138 0.6× 178 1.0× 84 0.7× 31 1.3k
Polly M. Fordyce United States 29 708 1.1× 1.4k 2.7× 280 1.2× 488 2.7× 109 0.9× 65 2.6k
Natalija Backmann Switzerland 10 329 0.5× 827 1.6× 322 1.4× 107 0.6× 34 0.3× 13 1.6k
Doncho V. Zhelev United States 22 370 0.6× 888 1.7× 61 0.3× 314 1.7× 49 0.4× 42 1.6k
W. Lloyd Ung United States 11 1.2k 1.8× 751 1.4× 395 1.7× 148 0.8× 13 0.1× 12 1.8k
Enze Sun China 17 291 0.5× 425 0.8× 43 0.2× 79 0.4× 174 1.4× 24 941
Sheldon Park United States 16 165 0.3× 958 1.8× 130 0.5× 264 1.5× 40 0.3× 34 1.4k

Countries citing papers authored by Michael D. Vahey

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Vahey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Vahey. 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 Michael D. Vahey. The network helps show where Michael D. Vahey may publish in the future.

Co-authorship network of co-authors of Michael D. Vahey

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Vahey. A scholar is included among the top collaborators of Michael D. Vahey 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 Michael D. Vahey. Michael D. Vahey 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.
Weiland, Elizabeth, Jian Xu, Steven L. Brody, et al.. (2025). Ciliated cells promote high infectious potential of influenza A virus through the efficient intracellular activation of hemagglutinin. Journal of Virology. 99(9). e0068525–e0068525.
2.
Meng, Xu, Y. Li, John R. Cirrito, et al.. (2025). Capacitive Biosensor for Rapid Detection of Avian (H5N1) Influenza and E. coli in Aerosols. ACS Sensors. 10(5). 3381–3389. 4 indexed citations
3.
King, Matthew R., Kiersten M. Ruff, Andrew Z. Lin, et al.. (2024). Macromolecular condensation organizes nucleolar sub-phases to set up a pH gradient. Cell. 187(8). 1889–1906.e24. 89 indexed citations breakdown →
4.
Vahey, Michael D., et al.. (2024). Antibody inhibition of influenza A virus assembly and release. Journal of Virology. 98(2). e0139823–e0139823. 6 indexed citations
5.
Xu, Jian, et al.. (2023). Neuraminidase Activity Modulates Cellular Coinfection during Influenza A Virus Multicycle Growth. mBio. 14(3). e0359122–e0359122. 3 indexed citations
6.
Zhang, Oumeng, et al.. (2022). Six-dimensional single-molecule imaging with isotropic resolution using a multi-view reflector microscope. Nature Photonics. 17(2). 179–186. 38 indexed citations
7.
Vahey, Michael D. & Daniel A. Fletcher. (2019). Influenza A virus surface proteins are organized to help penetrate host mucus. eLife. 8. 104 indexed citations
8.
Belardi, Brian, Sungmin Son, Michael D. Vahey, et al.. (2018). Claudin-4 reconstituted in unilamellar vesicles is sufficient to form tight interfaces that partition membrane proteins. Journal of Cell Science. 132(4). 19 indexed citations
9.
Lu, Peilong, Duyoung Min, Frank DiMaio, et al.. (2018). Accurate computational design of multipass transmembrane proteins. Science. 359(6379). 1042–1046. 137 indexed citations
10.
Vahey, Michael D. & Daniel A. Fletcher. (2018). Low-Fidelity Assembly of Influenza A Virus Promotes Escape from Host Cells. Cell. 176(1-2). 281–294.e19. 59 indexed citations
11.
Vahey, Michael D. & Daniel A. Fletcher. (2014). In Vitro Reconstitution of Membrane Budding by Influenza A Virus Matrix Protein 1. Biophysical Journal. 106(2). 62a–62a. 1 indexed citations
12.
Vahey, Michael D., Laia Quirós Pesudo, J. Peter Svensson, Leona D. Samson, & Joel Voldman. (2013). Microfluidic genome-wide profiling of intrinsic electrical properties in Saccharomyces cerevisiae. Lab on a Chip. 13(14). 2754–2754. 13 indexed citations
13.
Vahey, Michael D. & Daniel A. Fletcher. (2013). The biology of boundary conditions: cellular reconstitution in one, two, and three dimensions. Current Opinion in Cell Biology. 26. 60–68. 27 indexed citations
14.
Good, Matthew C., Michael D. Vahey, Arunan Skandarajah, Daniel A. Fletcher, & Rebecca Heald. (2013). Cytoplasmic Volume Modulates Spindle Size During Embryogenesis. Science. 342(6160). 856–860. 194 indexed citations
15.
Vahey, Michael D. & Joel Voldman. (2012). Isodielectric Separation and Analysis of Cells. Methods in molecular biology. 853. 53–63. 1 indexed citations
16.
Vahey, Michael D. & Joel Voldman. (2011). Emergent behavior in particle-laden microfluidic systems informs strategies for improving cell and particle separations. Lab on a Chip. 11(12). 2071–2071. 3 indexed citations
17.
Vahey, Michael D. & Joel Voldman. (2008). An Equilibrium Method for Continuous-Flow Cell Sorting Using Dielectrophoresis. Analytical Chemistry. 80(9). 3135–3143. 158 indexed citations
18.
Barsotti, Robert, Michael D. Vahey, Ryan C. Wartena, et al.. (2007). Assembly of Metal Nanoparticles into Nanogaps. Small. 3(3). 488–499. 101 indexed citations
19.
Vahey, Michael D., et al.. (2006). Microfluidic arrays for logarithmically perfused embryonic stem cell culture. Lab on a Chip. 6(3). 394–394. 208 indexed citations
20.
Vahey, Michael D., et al.. (1995). Parallel processing architectures for image processing systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10279. 102790E–102790E. 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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