Miranda Kirchner

1.6k citations
41 papers · 1.1k indexed · h-index 16

Impact in

Papers in

Miranda Kirchner

37 papers receiving 1.1k citations

Peers

Miranda Kirchner
Comparison fields: 5 of 84
  • Molecular Medicine 521
  • Endocrinology 303
  • Pollution 261
  • Food Science 352
  • Applied Microbiology and Biotechnology 30
Replace Getahun E. Agga with:
Getahun E. Agga United States
Tongjie Chai China
Tim Reuter Canada
María Teresa Tejedor‐Junco Spain
Jahangir Alam Bangladesh
Shaun R. Cook Canada
Miaomiao Xie China
Enrique Doster United States
Bruce A. Wagner United States
Hang Pan China
Miranda Kirchner relative to Getahun E. Agga United States Getahun E. Agga's profile →
Citations per field
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Getahun E. Agga · 1×
Citations per year

Countries citing papers authored by Miranda Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Miranda Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miranda Kirchner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miranda Kirchner Line = papers co-authored together Miranda Kirchner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20240
5 202211
6 20205
7 201839
8 2017226
9 201629
10 201421
11 201313
12 201310
13 20137
14 201212
15 201113
16 20118
17 201015
18 200825
19 20002
20
Intracellular bacteria in the red tide-forming heterotrophic dinoflagellate Noctiluca scintillans
199913

About Miranda Kirchner

Miranda Kirchner is a scholar working on Molecular Medicine, Endocrinology, Food Science, Microbiology and Clinical Biochemistry, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (15 papers), Antibiotic Resistance in Bacteria (15 papers), Escherichia coli research studies (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Microbial infections and disease research (5 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Molecular Medicine (521 citations), Endocrinology (303 citations), Pollution (261 citations), Food Science (352 citations) and Applied Microbiology and Biotechnology (30 citations). Miranda Kirchner has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Muna F. Anjum, A. G. Wollum, Larry D. King, Luke Randall, Christopher Teale, J. H. Reynolds, Javier Nuñéz-García, Fabrizio Lemma, Manal AbuOun and Richard P. Smith. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Frontiers in Microbiology, Veterinary Record, Eurosurveillance and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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