Anh L. Innes
- Physiology top 10%
- Asthma and respiratory diseases 6
- Immunology and Allergy top 10%
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- Blood properties and coagulation 1
- Emergency Medical Services top 10%
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- Tuberculosis Research and Epidemiology 7
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- Pneumonia and Respiratory Infections 4
- Pneumocystis jirovecii pneumonia detection and treatment 4
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- COVID-19 diagnosis using AI 3
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- Infectious Diseases and Tuberculosis 2
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- Cardiac Fibrosis and Remodeling 1
- Co-authors
- John V. FahyPrescott G. WoodruffSusan J. MullerLydia HouSheena C. KerrShaopeng YuanSukhvinder SidhuSamantha Donnelly
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesVietnamUnited Kingdom
In The Last Decade
Anh L. Innes
17 papers receiving 727 citations
Peers
Comparison fields: 5 of 101
- Physiology 338
- Immunology and Allergy 73
- Pulmonary and Respiratory Medicine 353
- Emergency Medical Services 56
- Immunology 156
Countries citing papers authored by Anh L. Innes
This map shows the geographic impact of Anh L. Innes'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 Anh L. Innes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anh L. Innes more than expected).
Fields of papers citing papers by Anh L. Innes
This network shows the impact of papers produced by Anh L. Innes. 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 Anh L. Innes. The network helps show where Anh L. Innes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anh L. Innes, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 2 | |
| 6 | 2017 | 8 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 12 | |
| 9 | 2015 | 13 | |
| 10 | 2010 | 317 | |
| 11 | 2010 | 25 | |
| 12 | 2010 | 16 | |
| 13 | 2009 | 97 | |
| 14 | 2009 | 1 | |
| 15 | 2008 | 78 | |
| 16 | 2006 | 143 | |
| 17 | 2006 | 14 |
About Anh L. Innes
Anh L. Innes is a scholar working on Archeology, Infectious Diseases and Physiology, having authored 17 papers that have together received 746 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Asthma and respiratory diseases (6 papers), Pneumonia and Respiratory Infections (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), COVID-19 diagnosis using AI (3 papers), Infectious Diseases and Tuberculosis (2 papers), Blood properties and coagulation (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Physiology (338 citations), Immunology and Allergy (73 citations) and Pulmonary and Respiratory Medicine (353 citations). Anh L. Innes has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include John V. Fahy, Prescott G. Woodruff, Susan J. Muller, Lydia Hou, Sheena C. Kerr, Shaopeng Yuan, Sukhvinder Sidhu, Samantha Donnelly, Ronald E. Ferrando and Stephen C. Lazarus. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.