Danielle Ahn
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Microbiology top 5%
Papers in
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- Antibiotic Resistance in Bacteria 8
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- Bacterial biofilms and quorum sensing 3
- Co-authors
- Alice Prince (13 shared papers)Taylor S. Cohen (3 shared papers)Dane Parker (3 shared papers)Susan M. Bueno (4 shared papers)Philip Zachariah (1 shared paper)Kara Gross Margolis (1 shared paper)Jonathan M. Miller (1 shared paper)Mercedes Martínez (1 shared paper)
- Journals
- Cell Metabolism (2 papers)Infection and Immunity (2 papers)Cell Reports (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Journal of Innate Immunity (2 papers)
- Partner nations
- United StatesChileAustralia
In The Last Decade
Danielle Ahn
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Molecular Medicine 143
- Microbiology 87
- Infectious Diseases 241
- Immunology 265
- Endocrinology 54
Countries citing papers authored by Danielle Ahn
This map shows the geographic impact of Danielle Ahn'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 Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Ahn more than expected).
Fields of papers citing papers by Danielle Ahn
This network shows the impact of papers produced by Danielle Ahn. 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 Ahn. The network helps show where Danielle Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 215 | |
| 2 | 2020 | 184 | |
| 3 | 2020 | 132 | |
| 4 | 2005 | 62 | |
| 5 | 2018 | 60 | |
| 6 | 2011 | 57 | |
| 7 | 2006 | 53 | |
| 8 | 2016 | 50 | |
| 9 | 2006 | 45 | |
| 10 | 2015 | 44 | |
| 11 | 2020 | 37 | |
| 12 | 2018 | 36 | |
| 13 | 2017 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2020 | 23 | |
| 16 | 2023 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2017 | 8 |
About Danielle Ahn
Danielle Ahn is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Pediatric health and respiratory diseases (4 papers), Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (4 papers), Bacterial biofilms and quorum sensing (3 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Molecular Medicine (143 citations), Microbiology (87 citations), Infectious Diseases (241 citations), Immunology (265 citations) and Endocrinology (54 citations). Danielle Ahn has collaborated with scholars based in United States, Chile and Australia. Frequent co-authors include Alice Prince, Taylor S. Cohen, Dane Parker, Susan M. Bueno, Philip Zachariah, Kara Gross Margolis, Jonathan M. Miller, Mercedes Martínez, Sebastián Riquelme-Barrios and Pamela A. Nieto. Their work appears in journals such as Cell Metabolism, Infection and Immunity, Cell Reports, Frontiers in Cellular and Infection Microbiology and Journal of Innate Immunity.
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.