Katherine Phan
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
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- Antibiotic Resistance in Bacteria
Papers in
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- Parkinson's Disease Mechanisms and Treatments 4
- Amyotrophic Lateral Sclerosis Research 3
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- Alzheimer's disease research and treatments 6
- Co-authors
- Thomas Ferenci (4 shared papers)Woojin S. Kim (12 shared papers)Glenda M. Halliday (12 shared papers)Olivier Piguet (7 shared papers)John R. Hodges (7 shared papers)Ying He (7 shared papers)Russell Pickford (6 shared papers)Surabhi Bhatia (5 shared papers)
- Journals
- The ISME Journal (2 papers)Acta Neuropathologica Communications (2 papers)Brain Communications (2 papers)Scientific Reports (2 papers)BMC Microbiology (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Katherine Phan
20 papers receiving 424 citations
Peers
Comparison fields: 5 of 79
- Neurology 124
- Molecular Medicine 33
- Neurology 45
- Endocrinology 28
- Physiology 77
Countries citing papers authored by Katherine Phan
This map shows the geographic impact of Katherine Phan'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 Katherine Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Phan more than expected).
Fields of papers citing papers by Katherine Phan
This network shows the impact of papers produced by Katherine Phan. 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 Katherine Phan. The network helps show where Katherine Phan may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine Phan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 53 | |
| 2 | 2011 | 41 | |
| 3 | 2013 | 37 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 34 | |
| 6 | 2022 | 34 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 22 | |
| 9 | 2017 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2015 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2012 | 1 |
About Katherine Phan
Katherine Phan is a scholar working on Neurology, Physiology, Molecular Biology, Genetics and Infectious Diseases, having authored 21 papers that have together received 429 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Bacterial Genetics and Biotechnology (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Chromosomal and Genetic Variations (2 papers) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Neurology (124 citations), Molecular Medicine (33 citations), Neurology (45 citations), Endocrinology (28 citations) and Physiology (77 citations). Katherine Phan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Thomas Ferenci, Woojin S. Kim, Glenda M. Halliday, Olivier Piguet, John R. Hodges, Ying He, Russell Pickford, Surabhi Bhatia, Nicolas Dzamko and YuHong Fu. Their work appears in journals such as The ISME Journal, Acta Neuropathologica Communications, Brain Communications, Scientific Reports and BMC 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.