Maya Kessler
Impact in
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- Heart Failure Treatment and Management
- Geriatrics and Gerontology top 10%
- Pharmaceutical Practices and Patient Outcomes
Papers in
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- Hedgehog Signaling Pathway Studies 1
- Genetics 1
- Glioma Diagnosis and Treatment 1
- Co-authors
- Víctor M. Montori (2 shared papers)M. Hassan Murad (1 shared paper)Aaron L. Leppin (1 shared paper)Nathan D. Shippee (1 shared paper)Henry H. Ting (1 shared paper)Frances S Mair (1 shared paper)Katie Gallacher (1 shared paper)Patricia J. Erwin (1 shared paper)
- Journals
- Applied Clinical Informatics (2 papers)BMJ Open (1 paper)Biochemical Society Transactions (1 paper)Journal of Women s Health (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- United StatesUnited KingdomBelarus
In The Last Decade
Maya Kessler
8 papers receiving 672 citations
Maya Kessler's Hit Papers
Peers
Comparison fields: 5 of 66
- Cardiology and Cardiovascular Medicine 237
- Geriatrics and Gerontology 36
- Emergency Medicine 64
- Health Information Management 24
- Health Informatics 6
Countries citing papers authored by Maya Kessler
This map shows the geographic impact of Maya Kessler'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 Maya Kessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Kessler more than expected).
Fields of papers citing papers by Maya Kessler
This network shows the impact of papers produced by Maya Kessler. 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 Maya Kessler. The network helps show where Maya Kessler may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Kessler, 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 | Preventing 30-Day Hospital Readmissions Hit paper breakdown → | 2014 | 583 |
| 2 | 2017 | 25 | |
| 3 | 2019 | 19 | |
| 4 | 2017 | 17 | |
| 5 | 2015 | 15 | |
| 6 | 2018 | 12 | |
| 7 | 2017 | 9 | |
| 8 | 2018 | 8 |
About Maya Kessler
Maya Kessler is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, General Health Professions and Health Information Management, having authored 8 papers that have together received 688 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (1 paper), Glioma Diagnosis and Treatment (1 paper), Electronic Health Records Systems (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Patient-Provider Communication in Healthcare (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (237 citations), Geriatrics and Gerontology (36 citations), Emergency Medicine (64 citations), Health Information Management (24 citations) and Health Informatics (6 citations). Maya Kessler has collaborated with scholars based in United States, United Kingdom and Belarus. Frequent co-authors include Víctor M. Montori, M. Hassan Murad, Aaron L. Leppin, Nathan D. Shippee, Henry H. Ting, Frances S Mair, Katie Gallacher, Patricia J. Erwin, Juan P. Brito and Zhen Wang. Their work appears in journals such as Applied Clinical Informatics, BMJ Open, Biochemical Society Transactions, Journal of Women s Health and BMC Medical Informatics and Decision Making.
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.