Danielle Madden

492 total citations
9 papers, 120 citations indexed

About

Danielle Madden is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Danielle Madden has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Microbiology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Danielle Madden's work include Reproductive tract infections research (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Rabies epidemiology and control (2 papers). Danielle Madden is often cited by papers focused on Reproductive tract infections research (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Rabies epidemiology and control (2 papers). Danielle Madden collaborates with scholars based in Australia. Danielle Madden's co-authors include Adam Polkinghorne, Alyce Taylor–Brown, Erin P. Price, Martina Jelocnik, Scott Carver, James Branley, Derek S. Sarovich, Cheryl Jenkins, Jessica R. Webb and Bart J. Currie and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Journal of Medical Microbiology and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Danielle Madden

8 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Madden Australia	5	54	41	33	16	16	9	120
Jean-Noël Telles France	8	32 0.6×	133 3.2×	26 0.8×	9 0.6×	4 0.3×	12	194
Julie E. Raab United States	6	54 1.0×	49 1.2×	78 2.4×	16 1.0×	16 1.0×	8	154
Heather Huot-Creasy United States	4	102 1.9×	31 0.8×	102 3.1×	21 1.3×	1 0.1×	4	225
Natália Rocha Guimarães Brazil	6	23 0.4×	8 0.2×	66 2.0×	7 0.4×	20 1.3×	19	151
A. Paris Italy	5	90 1.7×	83 2.0×	44 1.3×	7 0.4×	5 0.3×	12	172
Catalina Florez United States	4	101 1.9×	44 1.1×	120 3.6×	29 1.8×	30 1.9×	6	186
Kelly Symmes United States	4	15 0.3×	36 0.9×	21 0.6×	8 0.5×	3 0.2×	6	130
Nguyen To Anh United Kingdom	7	11 0.2×	47 1.1×	18 0.5×	14 0.9×	2 0.1×	8	118
Ewa Mosiej Poland	9	85 1.6×	97 2.4×	43 1.3×	13 0.8×	2 0.1×	22	213
Marina S. Kunda Russia	9	8 0.1×	41 1.0×	64 1.9×	23 1.4×	9 0.6×	40	201

Countries citing papers authored by Danielle Madden

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Madden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Madden

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

All Works

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9 of 9 papers shown

Phillips, Samuel, Danielle Madden, Amber Gillett, et al.. (2024). Koala ocular disease grades are defined by chlamydial load changes and increases in Th2 immune responses. Frontiers in Cellular and Infection Microbiology. 14. 1447119–1447119.

Madden, Danielle, Timothy Baird, Scott C. Bell, et al.. (2024). Keeping up with the pathogens: improved antimicrobial resistance detection and prediction from Pseudomonas aeruginosa genomes. Genome Medicine. 16(1). 78–78. 4 indexed citations

Madden, Danielle, Timothy Baird, Kay A. Ramsay, et al.. (2022). Express Yourself: Quantitative Real-Time PCR Assays for Rapid Chromosomal Antimicrobial Resistance Detection in Pseudomonas aeruginosa. Antimicrobial Agents and Chemotherapy. 66(5). e0020422–e0020422. 7 indexed citations

Madden, Danielle, Kate McCarthy, Scott C. Bell, et al.. (2022). Rapid fluoroquinolone resistance detection in Pseudomonas aeruginosa using mismatch amplification mutation assay-based real-time PCR. Journal of Medical Microbiology. 71(10). 4 indexed citations

Madden, Danielle, Jessica R. Webb, Eike Steinig, et al.. (2020). Taking the next-gen step: Comprehensive antimicrobial resistance detection from Burkholderia pseudomallei. EBioMedicine. 63. 103152–103152. 24 indexed citations

Harvey, Erin, Danielle Madden, Adam Polkinghorne, & Edward C. Holmes. (2019). Identification of A Novel Picorna-Like Virus, Burpengary Virus, that is Negatively Associated with Chlamydial Disease in the Koala. Viruses. 11(3). 211–211. 4 indexed citations

Madden, Danielle, et al.. (2018). Koala immunology and infectious diseases: How much can the koala bear?. Developmental & Comparative Immunology. 82. 177–185. 13 indexed citations

Taylor–Brown, Alyce, Danielle Madden, & Adam Polkinghorne. (2018). Culture-independent approaches to chlamydial genomics. Microbial Genomics. 4(2). 20 indexed citations

Jelocnik, Martina, Danielle Madden, Cheryl Jenkins, et al.. (2017). Development and evaluation of rapid novel isothermal amplification assays for important veterinary pathogens: Chlamydia psittaci and Chlamydia pecorum. PeerJ. 5. e3799–e3799. 44 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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