Fredric B. Kraemer
- Biochemistry top 0.02%
- Lipid metabolism and biosynthesis 69
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 21
- Physiology top 0.5%
- Adipose Tissue and Metabolism 66
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 19
- Molecular Biology top 1%
- Peroxisome Proliferator-Activated Receptors 20
-
- Cholesterol and Lipid Metabolism 30
- Lipoproteins and Cardiovascular Health 16
-
- Adipokines, Inflammation, and Metabolic Diseases 19
- Co-authors
- Wen‐Jun ShenSalman AzharShailja PatelAndrew S. GreenbergGerald M. ReavenCarole SztalrydMartin S. ObinTed A. Tobey
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (19 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Fredric B. Kraemer
191 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Biochemistry 3.2k
- Endocrinology, Diabetes and Metabolism 2.3k
- Physiology 3.6k
- Cancer Research 1.1k
- Molecular Biology 4.3k
Countries citing papers authored by Fredric B. Kraemer
This map shows the geographic impact of Fredric B. Kraemer'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 Fredric B. Kraemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredric B. Kraemer more than expected).
Fields of papers citing papers by Fredric B. Kraemer
This network shows the impact of papers produced by Fredric B. Kraemer. 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 Fredric B. Kraemer. The network helps show where Fredric B. Kraemer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fredric B. Kraemer, 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 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 12 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 34 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 23 | |
| 9 | 2015 | 11 | |
| 10 | 2013 | 100 | |
| 11 | 2013 | 76 | |
| 12 | 2010 | 211 | |
| 13 | 2007 | 11 | |
| 14 | 2004 | 37 | |
| 15 | 2003 | 59 | |
| 16 | 2002 | 9 | |
| 17 | 2002 | 50 | |
| 18 | 2001 | 286 | |
| 19 | 2001 | 57 | |
| 20 | 1986 | 16 |
About Fredric B. Kraemer
Fredric B. Kraemer is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 192 papers that have together received 11.4k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (69 papers), Adipose Tissue and Metabolism (66 papers), Cholesterol and Lipid Metabolism (30 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Peroxisome Proliferator-Activated Receptors (20 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Cancer, Lipids, and Metabolism (19 papers) and Lipoproteins and Cardiovascular Health (16 papers). The work is most often cited by research in Biochemistry (3.2k citations), Endocrinology, Diabetes and Metabolism (2.3k citations) and Physiology (3.6k citations). Fredric B. Kraemer has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Wen‐Jun Shen, Salman Azhar, Shailja Patel, Andrew S. Greenberg, Gerald M. Reaven, Carole Sztalryd, Martin S. Obin, Ted A. Tobey, Michael S. Greenfield and Sandra C. Souza. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.