Brian Glancy
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in ⓘ
-
- Metabolism and Genetic Disorders 6
- Co-authors
- Robert S. Balaban (16 shared papers)Wayne T. Willis (7 shared papers)T. Bradley Willingham (10 shared papers)Yuho Kim (10 shared papers)David J. Chess (5 shared papers)Christian A. Combs (5 shared papers)Prasanna Katti (6 shared papers)Sriram Subramaniam (2 shared papers)
- Journals
- The Journal of Physiology (6 papers)Nature Communications (5 papers)Journal of Microscopy (4 papers)Journal of Applied Physics (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Brian Glancy
57 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Clinical Biochemistry 269
- Physiology 958
- Molecular Biology 2.1k
- Aging 53
- Cell Biology 397
Countries citing papers authored by Brian Glancy
This map shows the geographic impact of Brian Glancy'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 Brian Glancy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Glancy more than expected).
Fields of papers citing papers by Brian Glancy
This network shows the impact of papers produced by Brian Glancy. 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 Brian Glancy. The network helps show where Brian Glancy may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Glancy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of Mitochondrial Ca2+ in the Regulation of Cellular Energetics Hit paper breakdown → | 2012 | 504 |
| 2 | 2015 | 343 | |
| 3 | 2013 | 237 | |
| 4 | A Universal Approach to Analyzing Transmission Electron Microscopy with ImageJ Hit paper breakdown → | 2021 | 177 |
| 5 | 2020 | 161 | |
| 6 | 2017 | 140 | |
| 7 | 2010 | 139 | |
| 8 | 2020 | 126 | |
| 9 | 2018 | 109 | |
| 10 | 2009 | 106 | |
| 11 | 2011 | 63 | |
| 12 | 2012 | 63 | |
| 13 | 2019 | 61 | |
| 14 | 2009 | 61 | |
| 15 | 2007 | 58 | |
| 16 | 2021 | 54 | |
| 17 | 2020 | 48 | |
| 18 | 2021 | 48 | |
| 19 | 2014 | 47 | |
| 20 | 2020 | 43 |
About Brian Glancy
Brian Glancy is a scholar working on Clinical Biochemistry, Biophysics, Physiology, Molecular Biology and Aging, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (37 papers), ATP Synthase and ATPases Research (21 papers), Adipose Tissue and Metabolism (20 papers), Energetic Materials and Combustion (8 papers), Metabolism and Genetic Disorders (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Muscle metabolism and nutrition (5 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Clinical Biochemistry (269 citations), Physiology (958 citations), Molecular Biology (2.1k citations), Aging (53 citations) and Cell Biology (397 citations). Brian Glancy has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Robert S. Balaban, Wayne T. Willis, T. Bradley Willingham, Yuho Kim, David J. Chess, Christian A. Combs, Prasanna Katti, Sriram Subramaniam, Lisa M. Hartnell and Christopher K. E. Bleck. Their work appears in journals such as The Journal of Physiology, Nature Communications, Journal of Microscopy, Journal of Applied Physics and Biochemistry.
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.