Michael Kellen
Impact in
- Health Informatics top 10%
- Applied Psychology top 10%
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
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- Cardiovascular Function and Risk Factors 2
- Cardiac electrophysiology and arrhythmias 1
- Cardiovascular Health and Disease Prevention 1
- Co-authors
- Stephen Friend (5 shared papers)J Christopher Bare (2 shared papers)Brian M. Bot (2 shared papers)Christine Suver (2 shared papers)Elias Chaibub Neto (1 shared paper)Abhishek Pratap (1 shared paper)Andrew D. Trister (1 shared paper)Arno Klein (1 shared paper)
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Nature Genetics (2 papers)JMIR mhealth and uhealth (1 paper)Neurology (1 paper)Scientific Data (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Michael Kellen
11 papers receiving 964 citations
Michael Kellen's Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 18
- Applied Psychology 58
- Cancer Research 145
- Neurology 138
- Human-Computer Interaction 50
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 | 451 |
| 2 | 2015 | 190 | |
| 3 | 2016 | 97 | |
| 4 | 2013 | 77 | |
| 5 | 2019 | 57 | |
| 6 | 2012 | 39 | |
| 7 | 2003 | 38 | |
| 8 | 2003 | 26 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 1 |
About Michael Kellen
Michael Kellen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Cancer Research and Communication, having authored 11 papers that have together received 986 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), Genomics and Rare Diseases (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Gene expression and cancer classification (1 paper) and Wikis in Education and Collaboration (1 paper). The work is most often cited by research in Health Informatics (18 citations), Applied Psychology (58 citations), Cancer Research (145 citations), Neurology (138 citations) and Human-Computer Interaction (50 citations). Michael Kellen has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Stephen Friend, J Christopher Bare, Brian M. Bot, Christine Suver, Elias Chaibub Neto, Abhishek Pratap, Andrew D. Trister, Arno Klein, E. Ray Dorsey and John Wilbanks. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Nature Genetics, JMIR mhealth and uhealth, Neurology and Scientific Data.
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.