Danielle J. Ingle
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 11
- Vibrio bacteria research studies 10
-
- Antibiotic Resistance in Bacteria 14
- Co-authors
- Kathryn E. HoltRoy M. Robins‐BrowneMarija TauschekBenjamin P. HowdenMyron M. LevineDeborah A. WilliamsonMary ValcanisTimothy P. Stinear
- Journals
- Microbial Genomics (6 papers)Nature Communications (4 papers)PLoS neglected tropical diseases (4 papers)Emerging infectious diseases (2 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Danielle J. Ingle
34 papers receiving 988 citations
Peers
Comparison fields: 5 of 90
- Endocrinology 490
- Molecular Medicine 385
- Food Science 289
- Applied Microbiology and Biotechnology 32
- Infectious Diseases 273
Countries citing papers authored by Danielle J. Ingle
This map shows the geographic impact of Danielle J. Ingle'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 J. Ingle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle J. Ingle more than expected).
Fields of papers citing papers by Danielle J. Ingle
This network shows the impact of papers produced by Danielle J. Ingle. 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 J. Ingle. The network helps show where Danielle J. Ingle may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle J. Ingle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 49 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 43 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 10 | |
| 15 | 2019 | 65 | |
| 16 | 2019 | 54 | |
| 17 | 2018 | 78 | |
| 18 | 2016 | 146 | |
| 19 | Postural Stability and Flexibility in Young Adults | 2012 | 1 |
| 20 | 1951 | 30 |
About Danielle J. Ingle
Danielle J. Ingle is a scholar working on Endocrinology, Molecular Medicine, Food Science, Microbiology and Infectious Diseases, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Salmonella and Campylobacter epidemiology (13 papers), Escherichia coli research studies (11 papers), Vibrio bacteria research studies (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (5 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Endocrinology (490 citations), Molecular Medicine (385 citations), Food Science (289 citations), Applied Microbiology and Biotechnology (32 citations) and Infectious Diseases (273 citations). Danielle J. Ingle has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kathryn E. Holt, Roy M. Robins‐Browne, Marija Tauschek, Benjamin P. Howden, Myron M. Levine, Deborah A. Williamson, Mary Valcanis, Timothy P. Stinear, Dianna M. Hocking and Torsten Seemann. Their work appears in journals such as Microbial Genomics, Nature Communications, PLoS neglected tropical diseases, Emerging infectious diseases and Applied and Environmental 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.