Angelo J. Madonna

10 total papers · 495 total citations
9 papers, 329 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 329 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 Mass Spectrometry Techniques and Applications (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Biosensors and Analytical Detection (2 papers). Angelo J. Madonna is often cited by papers focused on Mass Spectrometry Techniques and Applications (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Biosensors and Analytical Detection (2 papers). Angelo J. Madonna collaborates with scholars based in United States, Spain and Australia. Angelo J. Madonna's co-authors include Kent J. Voorhees, Franco Basile, Jon C. Rees, Mohammed A. Meetani, Sheila Van Cuyk, Edward T. Furlong, Imma Ferrer, Yasuyuki Ishida, N. I. Taranenko and Vladimir M. Doroshenko 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 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Angelo J. Madonna	177	132	106	102	45	9	329
Diane Dare	194 1.1×	88 0.7×	25 0.2×	60 0.6×	113 2.5×	10	357
Mark McDowall	113 0.6×	80 0.6×	166 1.6×	73 0.7×	52 1.2×	14	309
Janet Simpson	124 0.7×	87 0.7×	22 0.2×	37 0.4×	98 2.2×	11	362
Akiko Miyabe	171 1.0×	108 0.8×	11 0.1×	66 0.6×	117 2.6×	13	348
Belita N. A. Opene	170 1.0×	85 0.6×	15 0.1×	32 0.3×	46 1.0×	12	353
Syota Murata	229 1.3×	91 0.7×	15 0.1×	49 0.5×	145 3.2×	15	328
G. Wieten	32 0.2×	115 0.9×	45 0.4×	27 0.3×	51 1.1×	14	314
Ivana Pennisi	45 0.3×	129 1.0×	9 0.1×	154 1.5×	32 0.7×	11	290
Ronald W. Kenyon	71 0.4×	185 1.4×	8 0.1×	10 0.1×	30 0.7×	12	331
Suereta Fortuin	17 0.1×	189 1.4×	51 0.5×	9 0.1×	83 1.8×	14	303

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

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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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