Angelo J. Madonna

495 total citations
9 papers, 331 citations indexed

About

Angelo J. Madonna is a scholar working on Clinical Biochemistry, Spectroscopy and Molecular Biology. According to data from OpenAlex, Angelo J. Madonna has authored 9 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Biochemistry, 5 papers in Spectroscopy and 3 papers in Molecular Biology. Recurrent topics in Angelo J. Madonna's work include Bacterial Identification and Susceptibility Testing (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Bacillus and Francisella bacterial research (2 papers). Angelo J. Madonna is often cited by papers focused on Bacterial Identification and Susceptibility Testing (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Bacillus and Francisella bacterial research (2 papers). Angelo J. Madonna collaborates with scholars based in United States, Australia and Italy. Angelo J. Madonna's co-authors include Kent J. Voorhees, Franco Basile, Sheila Van Cuyk, Mohammed A. Meetani, Jon C. Rees, Edward T. Furlong, Imma Ferrer, Yasuyuki Ishida, N. I. Taranenko and Ted L. Hadfield and has published in prestigious journals such as Analytical Chemistry, Journal of Applied Microbiology and Journal of Analytical and Applied Pyrolysis.

In The Last Decade

Angelo J. Madonna

8 papers receiving 322 citations

Peers

Angelo J. Madonna
Lisa M. Leung United States
Mark McDowall United Kingdom
Belita N. A. Opene United States
G. Wieten Netherlands
Victoria Stone United States
Ronald W. Kenyon United States
Lisa M. Leung United States
Angelo J. Madonna
Citations per year, relative to Angelo J. Madonna Angelo J. Madonna (= 1×) peers Lisa M. Leung

Countries citing papers authored by Angelo J. Madonna

Since Specialization
Citations

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

Fields of papers citing papers by Angelo J. Madonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo J. Madonna. 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 Angelo J. Madonna. The network helps show where Angelo J. Madonna may publish in the future.

Co-authorship network of co-authors of Angelo J. Madonna

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

All Works

9 of 9 papers shown
1.
Quigley, Wes W. C., et al.. (2024). SARS-CoV-2 inactivation on hard non-porous airplane cabin material surfaces was limited after exposure to far UV-C (222 nm) radiation. Journal of Applied Microbiology. 135(1). 1 indexed citations
2.
Madonna, Angelo J., Kent J. Voorhees, N. I. Taranenko, Victor V. Laiko, & Vladimir M. Doroshenko. (2003). Detection of Cyclic Lipopeptide Biomarkers from Bacillus Species Using Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry. Analytical Chemistry. 75(7). 1628–1637. 45 indexed citations
3.
Madonna, Angelo J., Sheila Van Cuyk, & Kent J. Voorhees. (2002). Detection of Escherichia coli using immunomagnetic separation and bacteriophage amplification coupled with matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 17(3). 257–263. 65 indexed citations
4.
Ishida, Yasuyuki, Angelo J. Madonna, Jon C. Rees, Mohammed A. Meetani, & Kent J. Voorhees. (2002). Rapid analysis of intact phospholipids from whole bacterial cells by matrix‐assisted laser desorption/ionization mass spectrometry combined with on‐probe sample pretreatment. Rapid Communications in Mass Spectrometry. 16(19). 1877–1882. 53 indexed citations
5.
Madonna, Angelo J., Kent J. Voorhees, & Ted L. Hadfield. (2001). Rapid detection of taxonomically important fatty acid methyl ester and steroid biomarkers using in situ thermal hydrolysis/methylation mass spectrometry (THM-MS): implications for bioaerosol detection. Journal of Analytical and Applied Pyrolysis. 61(1-2). 65–89. 20 indexed citations
6.
Madonna, Angelo J., Franco Basile, Edward T. Furlong, & Kent J. Voorhees. (2001). Detection of bacteria from biological mixtures using immunomagnetic separation combined with matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 15(13). 1068–1074. 66 indexed citations
7.
Madonna, Angelo J., Franco Basile, Imma Ferrer, et al.. (2000). On-probe sample pretreatment for the detection of proteins above 15 KDa from whole cell bacteria by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Rapid Communications in Mass Spectrometry. 14(23). 2220–2229. 70 indexed citations
8.
Madonna, Angelo J., et al.. (1999). Investigation of cell culture media infected with viruses by pyrolysis mass spectrometry: Implications for bioaerosol detection. Journal of the American Society for Mass Spectrometry. 10(6). 502–511. 10 indexed citations
9.
Cobelli, Claudio, Angelo J. Madonna, & Alfredo Ruggeri. (1979). Testing of model structures in identification of metabolic systems. 516–517. 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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