Heidi Peck
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 24
- Influenza Virus Research Studies 24
- Respiratory viral infections research 9
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- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 4
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Ian Barr (17 shared papers)Karen Laurie (3 shared papers)Dhanasekaran Vijaykrishna (3 shared papers)Benjamin John Cowling (3 shared papers)Heath A. Kelly (1 shared paper)Peng Wu (1 shared paper)Yvonne C. F. Su (2 shared papers)Hiroshi Nishiura (1 shared paper)
- Journals
- Eurosurveillance (4 papers)JCI Insight (2 papers)Influenza and Other Respiratory Viruses (2 papers)Vaccine (1 paper)Virus Evolution (1 paper)
- Partner nations
- AustraliaUnited StatesHong Kong
In The Last Decade
Heidi Peck
28 papers receiving 469 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 338
- Modeling and Simulation 41
- Infectious Diseases 135
- Agronomy and Crop Science 65
- Animal Science and Zoology 20
Countries citing papers authored by Heidi Peck
This map shows the geographic impact of Heidi Peck'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 Heidi Peck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Peck more than expected).
Fields of papers citing papers by Heidi Peck
This network shows the impact of papers produced by Heidi Peck. 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 Heidi Peck. The network helps show where Heidi Peck may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi Peck, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2011 | 86 | |
| 3 | 2016 | 50 | |
| 4 | 2016 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2019 | 31 | |
| 7 | 2019 | 28 | |
| 8 | 2021 | 21 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2025 | 11 | |
| 13 | 2025 | 11 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Heidi Peck
Heidi Peck is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Immunology and Modeling and Simulation, having authored 30 papers that have together received 495 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (24 papers), Respiratory viral infections research (9 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Disease Management and Epidemiology (4 papers), Viral Infections and Vectors (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Epidemiology (338 citations), Modeling and Simulation (41 citations), Infectious Diseases (135 citations), Agronomy and Crop Science (65 citations) and Animal Science and Zoology (20 citations). Heidi Peck has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include Ian Barr, Karen Laurie, Dhanasekaran Vijaykrishna, Benjamin John Cowling, Heath A. Kelly, Peng Wu, Yvonne C. F. Su, Hiroshi Nishiura, Udayan Joseph and Gavin J. D. Smith. Their work appears in journals such as Eurosurveillance, JCI Insight, Influenza and Other Respiratory Viruses, Vaccine and Virus Evolution.
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.