Harriet Dashnow
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- Genetic Neurodegenerative Diseases 6
- Co-authors
- Bernard J. PopeMark B. SchultzTakehiro TomitaJustin ZobelKathryn E. HoltMichael InouyeDaniel G. MacArthurAlicia Oshlack
- Journals
- Genome Medicine (3 papers)Genome biology (2 papers)Genes (1 paper)European Journal of Human Genetics (1 paper)Nature Reviews Genetics (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Harriet Dashnow
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Medicine 309
- Endocrinology 220
- Clinical Biochemistry 150
- Infectious Diseases 205
- Microbiology 59
Countries citing papers authored by Harriet Dashnow
This map shows the geographic impact of Harriet Dashnow'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 Harriet Dashnow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harriet Dashnow more than expected).
Fields of papers citing papers by Harriet Dashnow
This network shows the impact of papers produced by Harriet Dashnow. 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 Harriet Dashnow. The network helps show where Harriet Dashnow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harriet Dashnow, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 44 | |
| 5 | 2022 | 24 | |
| 6 | 2021 | 60 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 82 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 13 | |
| 11 | Elegant SciPy: The Art of Scientific Python | 2017 | 4 |
| 12 | Open Science Resources | 2017 | 1 |
| 13 | 2015 | 54 | |
| 14 | 2015 | 11 | |
| 15 | SRST2: Rapid genomic surveillance for public health and hospital microbiology labs Hit paper breakdown → | 2014 | 724 |
| 16 | 2014 | 1 | |
| 17 | 2012 | 9 |
About Harriet Dashnow
Harriet Dashnow is a scholar working on Cellular and Molecular Neuroscience, Information Systems and Management, Genetics, Molecular Medicine and Molecular Biology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Genomics and Rare Diseases (5 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Research Data Management Practices (2 papers), Mitochondrial Function and Pathology (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Molecular Medicine (309 citations), Endocrinology (220 citations), Clinical Biochemistry (150 citations), Infectious Diseases (205 citations) and Microbiology (59 citations). Harriet Dashnow has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Bernard J. Pope, Mark B. Schultz, Takehiro Tomita, Justin Zobel, Kathryn E. Holt, Michael Inouye, Daniel G. MacArthur, Alicia Oshlack, Simon Sadedin and Ira W. Deveson. Their work appears in journals such as Genome Medicine, Genome biology, Genes, European Journal of Human Genetics and Nature Reviews Genetics.
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.