Michael W. Mayo

956 total citations
13 papers, 641 citations indexed

About

Michael W. Mayo is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael W. Mayo has authored 13 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael W. Mayo's work include Biosensors and Analytical Detection (3 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Michael W. Mayo is often cited by papers focused on Biosensors and Analytical Detection (3 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Michael W. Mayo collaborates with scholars based in United States. Michael W. Mayo's co-authors include John G. Bruno, Burt V. Bronk, Carl A. Batt, James P. Chambers, G. Fernandez, Steven C. Hill, Paul Nachman, Ronald G. Pinnick, J. D. Pendleton and Richard K. Chang and has published in prestigious journals such as Optics Letters, Biosensors and Bioelectronics and Aerosol Science and Technology.

In The Last Decade

Michael W. Mayo

11 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael W. Mayo United States 9 289 286 115 76 71 13 641
Torbjörn Tjärnhage Sweden 11 148 0.5× 354 1.2× 72 0.6× 79 1.0× 21 0.3× 21 573
Jinxiang Li China 14 190 0.7× 245 0.9× 37 0.3× 64 0.8× 26 0.4× 47 598
Sheng Chen China 16 153 0.5× 229 0.8× 208 1.8× 72 0.9× 20 0.3× 40 995
Nicholas F. Fell United States 9 109 0.4× 103 0.4× 48 0.4× 28 0.4× 26 0.4× 27 446
Yile Tao China 11 628 2.2× 582 2.0× 61 0.5× 78 1.0× 9 0.1× 18 1.3k
Cristina Siegerist United States 8 204 0.7× 435 1.5× 28 0.2× 134 1.8× 12 0.2× 13 946
Federica Sebastiani United Kingdom 17 104 0.4× 567 2.0× 23 0.2× 14 0.2× 70 1.0× 31 887
Vasanthi Sivaprakasam United States 10 90 0.3× 45 0.2× 264 2.3× 29 0.4× 180 2.5× 31 572
R. Facius Germany 19 85 0.3× 201 0.7× 50 0.4× 34 0.4× 30 0.4× 58 1.0k
Anne W. Kusterbeck United States 24 512 1.8× 583 2.0× 40 0.3× 190 2.5× 5 0.1× 61 1.3k

Countries citing papers authored by Michael W. Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Mayo

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

All Works

13 of 13 papers shown
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Pan, Yong–Le, Jay D. Eversole, Paul H. Kaye, et al.. (2007). Bio-aerosol fluorescence - Detecting and characterising bio-aerosols via UV light-induced fluorescence spectroscopy. 4 indexed citations
6.
Mayo, Michael W., et al.. (2000). A review of molecular recognition technologies for detection of biological threat agents. Biosensors and Bioelectronics. 15(11-12). 549–578. 353 indexed citations
7.
Mayo, Michael W., et al.. (1996). <title>Compact phase-resolved fluorescence spectrometer for detection and discrimination of airborne and waterborne bacteria</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2836. 158–169. 1 indexed citations
8.
Nachman, Paul, Gang Chen, R. G. Pinnick, et al.. (1996). Conditional-sampling spectrograph detection system for fluorescence measurements of individual airborne biological particles. Applied Optics. 35(7). 1069–1069. 32 indexed citations
9.
Pinnick, Ronald G., Steven C. Hill, Paul Nachman, et al.. (1995). Fluorescence Particle Counter for Detecting Airborne Bacteria and Other Biological Particles. Aerosol Science and Technology. 23(4). 653–664. 104 indexed citations
10.
Bruno, John G. & Michael W. Mayo. (1995). A Color Image Analysis Method for Assessment of Germination Based on Differential Fluorescence Staining of Bacterial Spores and Vegetative Cells Using Acridine Orange. Biotechnic & Histochemistry. 70(4). 175–184. 9 indexed citations
11.
Hill, Steven C., Ronald G. Pinnick, Paul Nachman, et al.. (1995). Aerosol-fluorescence spectrum analyzer: real-time measurement of emission spectra of airborne biological particles. Applied Optics. 34(30). 7149–7149. 51 indexed citations
12.
Rockwell, Benjamin A., Clarence P. Cain, Gary D. Noojin, et al.. (1993). Nonlinear refraction in vitreous humor. Optics Letters. 18(21). 1792–1792. 31 indexed citations
13.
Roach, William P., Mark E. Rogers, Benjamin A. Rockwell, et al.. (1992). Ultrashort laser pulses: Effects and theories.

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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