Andrew P. Michelson
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- Antibiotic Use and Resistance 3
- Health Informatics top 5%
- Molecular Medicine top 10%
- Family Practice top 10%
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing 4
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- Sepsis Diagnosis and Treatment 9
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- Machine Learning in Healthcare 7
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- Nosocomial Infections in ICU 5
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- Noise Effects and Management 3
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- Hearing Loss and Rehabilitation 3
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Philip PayneMarin H. KollefSean YuJosé Garnacho‐MonteroPatrick R. AguilarMatteo BassettiWarren IsakowScott T. Micek
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Scientific Reports (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Andrew P. Michelson
32 papers receiving 462 citations
Peers
Comparison fields: 5 of 100
- Applied Microbiology and Biotechnology 51
- Health Informatics 26
- Molecular Medicine 46
- Family Practice 18
- Clinical Biochemistry 49
Countries citing papers authored by Andrew P. Michelson
This map shows the geographic impact of Andrew P. Michelson'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 Andrew P. Michelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew P. Michelson more than expected).
Fields of papers citing papers by Andrew P. Michelson
This network shows the impact of papers produced by Andrew P. Michelson. 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 Andrew P. Michelson. The network helps show where Andrew P. Michelson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew P. Michelson, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 30 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 90 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 3 | |
| 19 | 2015 | 40 | |
| 20 | 2014 | 4 |
About Andrew P. Michelson
Andrew P. Michelson is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Family Practice, having authored 32 papers that have together received 467 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Machine Learning in Healthcare (7 papers), Nosocomial Infections in ICU (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Use and Resistance (3 papers), Noise Effects and Management (3 papers), Hearing Loss and Rehabilitation (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (51 citations), Health Informatics (26 citations) and Molecular Medicine (46 citations). Andrew P. Michelson has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Philip Payne, Marin H. Kollef, Sean Yu, José Garnacho‐Montero, Patrick R. Aguilar, Matteo Bassetti, Warren Isakow, Scott T. Micek, Albert M. Lai and Jean‐François Timsit. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.