Robert Barkovich
Impact in
- Biochemistry top 5%
- Biochemical Acid Research Studies
- Health Informatics top 10%
Papers in
-
- Coenzyme Q10 studies and effects 3
- Photosynthetic Processes and Mechanisms 1
- Biomedical Text Mining and Ontologies 1
- Mitochondrial Function and Pathology 1
- Plant biochemistry and biosynthesis 1
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- Biochemical Acid Research Studies 3
- Co-authors
- James C. Liao (1 shared paper)Tim K. Mackey (1 shared paper)George M. Church (1 shared paper)Catherine F. Clarke (3 shared papers)Dennis Grishin (1 shared paper)Tsung-Ting Kuo (1 shared paper)Peter T. Lee (3 shared papers)David C. Myles (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Metabolic Engineering (1 paper)PROTEOMICS (1 paper)BMC Medicine (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Robert Barkovich
6 papers receiving 502 citations
Robert Barkovich's Hit Papers
Peers
Comparison fields: 5 of 91
- Biochemistry 92
- Health Informatics 11
- Information Systems 174
- Aging 8
- Management Information Systems 40
Countries citing papers authored by Robert Barkovich
This map shows the geographic impact of Robert Barkovich'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 Robert Barkovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Barkovich more than expected).
Fields of papers citing papers by Robert Barkovich
This network shows the impact of papers produced by Robert Barkovich. 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 Robert Barkovich. The network helps show where Robert Barkovich may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Barkovich, 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 | ‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare Hit paper breakdown → | 2019 | 243 |
| 2 | 1999 | 101 | |
| 3 | 1997 | 84 | |
| 4 | 2001 | 77 | |
| 5 | Characterization of the COQ5 Gene from Saccharomyces cerevisiae | 1997 | 17 |
| 6 | 2006 | 7 |
About Robert Barkovich
Robert Barkovich is a scholar working on Molecular Biology, Biochemistry, Biotechnology, Computer Networks and Communications and Information Systems, having authored 6 papers that have together received 529 indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (3 papers), Biochemical Acid Research Studies (3 papers), Biochemical and biochemical processes (2 papers), Photosynthetic Processes and Mechanisms (1 paper), IoT and Edge/Fog Computing (1 paper), Biomedical Text Mining and Ontologies (1 paper), Mitochondrial Function and Pathology (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Biochemistry (92 citations), Health Informatics (11 citations), Information Systems (174 citations), Aging (8 citations) and Management Information Systems (40 citations). Robert Barkovich has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James C. Liao, Tim K. Mackey, George M. Church, Catherine F. Clarke, Dennis Grishin, Tsung-Ting Kuo, Peter T. Lee, David C. Myles, Kevin A. Clauson and Alexander Tzagoloff. Their work appears in journals such as Journal of Biological Chemistry, Metabolic Engineering, PROTEOMICS and BMC Medicine.
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.