J Christopher Bare
Impact in
- Applied Psychology top 10%
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
-
- Genomics and Phylogenetic Studies 6
- Bioinformatics and Genomic Networks 4
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 2
- Genetics 4
- Genomics and Rare Diseases 2
- Co-authors
- Michael Kellen (2 shared papers)Stephen Friend (2 shared papers)Abhishek Pratap (2 shared papers)Elias Chaibub Neto (2 shared papers)Nitin S. Baliga (9 shared papers)John Wilbanks (1 shared paper)Christine Suver (1 shared paper)Megan Doerr (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Nucleic Acids Research (2 papers)Molecular Systems Biology (2 papers)Nature Methods (1 paper)Scientific Data (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
J Christopher Bare
13 papers receiving 862 citations
J Christopher Bare's Hit Papers
Peers
Comparison fields: 5 of 133
- Applied Psychology 58
- Neurology 146
- Cancer Research 140
- Genetics 167
- Molecular Biology 380
Countries citing papers authored by J Christopher Bare
This map shows the geographic impact of J Christopher Bare'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 J Christopher Bare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Christopher Bare more than expected).
Fields of papers citing papers by J Christopher Bare
This network shows the impact of papers produced by J Christopher Bare. 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 J Christopher Bare. The network helps show where J Christopher Bare may publish in the future.
Co-authors
The 25 scholars most cited alongside J Christopher Bare, 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 | 2009 | 101 | |
| 4 | 2011 | 44 | |
| 5 | 2011 | 33 | |
| 6 | 2007 | 27 | |
| 7 | 2010 | 26 | |
| 8 | 2011 | 22 | |
| 9 | 2013 | 17 | |
| 10 | 2014 | 14 | |
| 11 | 2018 | 6 | |
| 12 | 2012 | 3 | |
| 13 | 2010 | 2 |
About J Christopher Bare
J Christopher Bare is a scholar working on Molecular Biology, Genetics, Information Systems and Management, Cancer Research and Spectroscopy, having authored 13 papers that have together received 881 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (3 papers), Scientific Computing and Data Management (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Rare Diseases (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Applied Psychology (58 citations), Neurology (146 citations), Cancer Research (140 citations), Genetics (167 citations) and Molecular Biology (380 citations). J Christopher Bare has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Michael Kellen, Stephen Friend, Abhishek Pratap, Elias Chaibub Neto, Nitin S. Baliga, John Wilbanks, Christine Suver, Megan Doerr, Brian M. Bot and E. Ray Dorsey. Their work appears in journals such as BMC Bioinformatics, Nucleic Acids Research, Molecular Systems Biology, Nature Methods 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.