Sarah J. Dunstan
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 21
- Viral gastroenteritis research and epidemiology 15
- Endocrinology top 1%
- Escherichia coli research studies 5
- Immunology top 2%
- Immune Response and Inflammation 16
- Microbiology top 2%
- Food Science top 1%
- Salmonella and Campylobacter epidemiology 17
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- Mycobacterium research and diagnosis 12
- Pneumonia and Respiratory Infections 7
- Pneumocystis jirovecii pneumonia detection and treatment 6
- Co-authors
- Jeremy FarrarThomas R. HawnGuy ThwaitesNguyen Duc BangTran Thi Hong ChauCameron P. SimmonsRichard A. StrugnellJay C. Vary
- Journals
- Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)
- Partner nations
- VietnamUnited KingdomAustralia
In The Last Decade
Sarah J. Dunstan
59 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 1.7k
- Endocrinology 365
- Immunology 1.2k
- Microbiology 218
- Food Science 564
Countries citing papers authored by Sarah J. Dunstan
This map shows the geographic impact of Sarah J. Dunstan'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 Sarah J. Dunstan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah J. Dunstan more than expected).
Fields of papers citing papers by Sarah J. Dunstan
This network shows the impact of papers produced by Sarah J. Dunstan. 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 Sarah J. Dunstan. The network helps show where Sarah J. Dunstan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah J. Dunstan, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2019 | 49 | |
| 7 | 2017 | 42 | |
| 8 | 2016 | 50 | |
| 9 | 2015 | 9 | |
| 10 | 2015 | 13 | |
| 11 | 2013 | 29 | |
| 12 | Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infectionsbreakdown → | 2012 | 420 |
| 13 | 2012 | 41 | |
| 14 | 2010 | 85 | |
| 15 | 2009 | 37 | |
| 16 | 2007 | 159 | |
| 17 | 2007 | 153 | |
| 18 | 2006 | 131 | |
| 19 | 2001 | 73 | |
| 20 | 2001 | 182 |
About Sarah J. Dunstan
Sarah J. Dunstan is a scholar working on Infectious Diseases, Endocrinology and Immunology, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Salmonella and Campylobacter epidemiology (17 papers), Immune Response and Inflammation (16 papers), Viral gastroenteritis research and epidemiology (15 papers), Mycobacterium research and diagnosis (12 papers), Pneumonia and Respiratory Infections (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Endocrinology (365 citations) and Immunology (1.2k citations). Sarah J. Dunstan has collaborated with scholars based in Vietnam, United Kingdom and Australia. Frequent co-authors include Jeremy Farrar, Thomas R. Hawn, Guy Thwaites, Nguyen Duc Bang, Tran Thi Hong Chau, Cameron P. Simmons, Richard A. Strugnell, Jay C. Vary, Lalita Ramakrishnan and David M. Tobin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.