Daniel Beard
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- Cardiovascular Function and Risk Factors 37
- Cardiac electrophysiology and arrhythmias 13
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 40
- ATP Synthase and ATPases Research 20
- Microbial Metabolic Engineering and Bioproduction 17
- Gene Regulatory Network Analysis 17
- Health Informatics top 5%
- Clinical Biochemistry top 2%
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- Advanced MRI Techniques and Applications 16
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- Adipose Tissue and Metabolism 13
- Co-authors
- Hong QianJames B. BassingthwaighteFan WuTamar SchlickKalyan C. VinnakotaRanjan K. DashFeng QiEric O. Feigl
- Journals
- Biophysical Journal (25 papers)PLoS Computational Biology (9 papers)Annals of Biomedical Engineering (7 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Daniel Beard
173 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 196
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 2.9k
- Health Informatics 45
- Health Information Management 140
- Clinical Biochemistry 191
Countries citing papers authored by Daniel Beard
This map shows the geographic impact of Daniel Beard'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 Daniel Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Beard more than expected).
Fields of papers citing papers by Daniel Beard
This network shows the impact of papers produced by Daniel Beard. 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 Daniel Beard. The network helps show where Daniel Beard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Beard, 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 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 25 | |
| 9 | 2020 | 147 | |
| 10 | 2020 | 21 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2013 | 11 | |
| 15 | Correction to Mitochondrial Free (Ca 2+ ) Increases during ATP/ADP Antiport and ADP Phosphorylation: Exploration of Mechanisms | 2010 | 1 |
| 16 | 2010 | 28 | |
| 17 | 2009 | 60 | |
| 18 | 2009 | 25 | |
| 19 | 2008 | 25 | |
| 20 | 2003 | 32 |
About Daniel Beard
Daniel Beard is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biophysics, having authored 180 papers that have together received 5.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (40 papers), Cardiovascular Function and Risk Factors (37 papers), ATP Synthase and ATPases Research (20 papers), Microbial Metabolic Engineering and Bioproduction (17 papers), Gene Regulatory Network Analysis (17 papers), Advanced MRI Techniques and Applications (16 papers), Adipose Tissue and Metabolism (13 papers) and Cardiac electrophysiology and arrhythmias (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Molecular Biology (2.9k citations) and Health Informatics (45 citations). Daniel Beard has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Hong Qian, James B. Bassingthwaighte, Fan Wu, Tamar Schlick, Kalyan C. Vinnakota, Ranjan K. Dash, Feng Qi, Eric O. Feigl, Jason N. Bazil and Thiagarajan Raghuram. Their work appears in journals such as Biophysical Journal, PLoS Computational Biology, Annals of Biomedical Engineering, American Journal of Physiology-Heart and Circulatory Physiology and The Journal of Physiology.
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.