Daniel J. Kramer
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
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- Epigenetics and DNA Methylation 2
-
- Visual perception and processing mechanisms 2
- Co-authors
- Tobias Becher (2 shared papers)Paul Cohen (2 shared papers)Andreas G. Wibmer (1 shared paper)Heiko Schöder (1 shared paper)Srikanth Palanisamy (1 shared paper)Caroline S. Jiang (1 shared paper)Scott D. Butler (1 shared paper)Roger Vaughan (1 shared paper)
- Journals
- Metabolism (1 paper)Molecular Imaging and Biology (1 paper)Drug Metabolism and Disposition (1 paper)GeroScience (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Daniel J. Kramer
15 papers receiving 819 citations
Daniel J. Kramer's Hit Papers
Peers
Comparison fields: 5 of 91
- Physiology 421
- Rehabilitation 67
- Cardiology and Cardiovascular Medicine 127
- Epidemiology 164
- Biochemistry 35
Countries citing papers authored by Daniel J. Kramer
This map shows the geographic impact of Daniel J. Kramer'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 J. Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Kramer more than expected).
Fields of papers citing papers by Daniel J. Kramer
This network shows the impact of papers produced by Daniel J. Kramer. 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 J. Kramer. The network helps show where Daniel J. Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Kramer, 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 | Brown adipose tissue is associated with cardiometabolic health Hit paper breakdown → | 2021 | 462 |
| 2 | 2001 | 87 | |
| 3 | 2009 | 50 | |
| 4 | 2018 | 49 | |
| 5 | 2017 | 44 | |
| 6 | 2014 | 41 | |
| 7 | 2020 | 20 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2011 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2010 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2013 | 4 | |
| 15 | Corporate Internal Investigations: An International Guide | 2013 | 2 |
About Daniel J. Kramer
Daniel J. Kramer is a scholar working on Molecular Biology, Cognitive Neuroscience, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 835 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Visual perception and processing mechanisms (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Color Science and Applications (1 paper), Blood groups and transfusion (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Physiology (421 citations), Rehabilitation (67 citations), Cardiology and Cardiovascular Medicine (127 citations), Epidemiology (164 citations) and Biochemistry (35 citations). Daniel J. Kramer has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Tobias Becher, Paul Cohen, Andreas G. Wibmer, Heiko Schöder, Srikanth Palanisamy, Caroline S. Jiang, Scott D. Butler, Roger Vaughan, Allyn L. Mark and Mahmoud Eljalby. Their work appears in journals such as Metabolism, Molecular Imaging and Biology, Drug Metabolism and Disposition, GeroScience and The Journal of Experimental 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.