Michael Kellen
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
- Health Informatics top 10%
Papers in
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- Bioinformatics and Genomic Networks 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Cardiovascular Function and Risk Factors 2
- Cardiac electrophysiology and arrhythmias 1
- Co-authors
- Stephen Friend (5 shared papers)J Christopher Bare (2 shared papers)Christine Suver (2 shared papers)Brian M. Bot (2 shared papers)John Wilbanks (1 shared paper)Megan Doerr (1 shared paper)E. Ray Dorsey (1 shared paper)Abhishek Pratap (1 shared paper)
- Journals
- Nature Genetics (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Nature Methods (1 paper)JMIR mhealth and uhealth (1 paper)Nature Reviews Genetics (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Michael Kellen
11 papers receiving 887 citations
Michael Kellen's Hit Papers
Peers
Comparison fields: 5 of 130
- Applied Psychology 76
- Health Informatics 16
- Cancer Research 160
- Neurology 148
- Human-Computer Interaction 47
Countries citing papers authored by Michael Kellen
This map shows the geographic impact of Michael Kellen'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 Michael Kellen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kellen more than expected).
Fields of papers citing papers by Michael Kellen
This network shows the impact of papers produced by Michael Kellen. 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 Michael Kellen. The network helps show where Michael Kellen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kellen, 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 | The mPower study, Parkinson disease mobile data collected using ResearchKit Hit paper breakdown → | 2016 | 404 |
| 2 | 2015 | 182 | |
| 3 | 2016 | 90 | |
| 4 | 2013 | 75 | |
| 5 | 2019 | 48 | |
| 6 | 2012 | 36 | |
| 7 | 2003 | 36 | |
| 8 | 2003 | 25 | |
| 9 | 2021 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 1 |
About Michael Kellen
Michael Kellen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Genetics and Cancer Research, having authored 11 papers that have together received 906 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Cardiovascular Function and Risk Factors (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Technology Use by Older Adults (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Cognitive Abilities and Testing (1 paper). The work is most often cited by research in Applied Psychology (76 citations), Health Informatics (16 citations), Cancer Research (160 citations), Neurology (148 citations) and Human-Computer Interaction (47 citations). Michael Kellen has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Stephen Friend, J Christopher Bare, Christine Suver, Brian M. Bot, John Wilbanks, Megan Doerr, E. Ray Dorsey, Abhishek Pratap, Elias Chaibub Neto and Andrew D. Trister. Their work appears in journals such as Nature Genetics, American Journal of Physiology-Heart and Circulatory Physiology, Nature Methods, JMIR mhealth and uhealth and Nature Reviews Genetics.
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.