Mark Mai
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Sepsis Diagnosis and Treatment 5
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Yuqing Li (1 shared paper)Lisa A. Flanagan (1 shared paper)Karla E. Hirokawa (1 shared paper)Nandini Gokulchandran (1 shared paper)Ashwin S. Shetty (1 shared paper)Lakshmi Subramanian (1 shared paper)Edwin S. Monuki (1 shared paper)P. R. V. Satyaki (1 shared paper)
- Journals
- Pediatric Critical Care Medicine (4 papers)Applied Clinical Informatics (4 papers)Journal of the American Medical Informatics Association (3 papers)Academic Pediatrics (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Mark Mai
21 papers receiving 599 citations
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 103
- Health Information Management 27
- Health Informatics 8
- Hematology 56
- Aging 8
Countries citing papers authored by Mark Mai
This map shows the geographic impact of Mark Mai'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 Mark Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Mai more than expected).
Fields of papers citing papers by Mark Mai
This network shows the impact of papers produced by Mark Mai. 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 Mark Mai. The network helps show where Mark Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Mai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 255 | |
| 2 | 2010 | 117 | |
| 3 | 2006 | 98 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2023 | 11 | |
| 12 | Controlling testing volume for respiratory viruses using machine learning and text mining. | 2016 | 9 |
| 13 | 2025 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2022 | 2 | |
| 17 | Primary Movement in Sign Languages: A Study of Six Languages | 2011 | 2 |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Mark Mai
Mark Mai is a scholar working on Epidemiology, Health Informatics, Public Health, Environmental and Occupational Health, Health Information Management and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 621 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Hand Gesture Recognition Systems (2 papers), Respiratory Support and Mechanisms (2 papers), Hearing Impairment and Communication (2 papers), Electronic Health Records Systems (2 papers), Acute Myeloid Leukemia Research (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (103 citations), Health Information Management (27 citations), Health Informatics (8 citations), Hematology (56 citations) and Aging (8 citations). Mark Mai has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Yuqing Li, Lisa A. Flanagan, Karla E. Hirokawa, Nandini Gokulchandran, Ashwin S. Shetty, Lakshmi Subramanian, Edwin S. Monuki, P. R. V. Satyaki, Ben Martynoga and Shubha Tole. Their work appears in journals such as Pediatric Critical Care Medicine, Applied Clinical Informatics, Journal of the American Medical Informatics Association, Academic Pediatrics and British Journal of Haematology.
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.