Judith Simcox
Impact in
- Hematology top 2%
- Iron Metabolism and Disorders
- Aging top 5%
Papers in
- Physiology 26
- Adipose Tissue and Metabolism 22
- Diet and metabolism studies 7
- Biochemistry 10
- Lipid metabolism and biosynthesis 10
- Co-authors
- Donald A. McClain (9 shared papers)Dudley W. Lamming (6 shared papers)Jingyu Huang (5 shared papers)Robert C. Cooksey (4 shared papers)Deborah L. Jones (3 shared papers)Claudio J. Villanueva (6 shared papers)William L. Holland (3 shared papers)Ying Lin (1 shared paper)
- Journals
- Cell Metabolism (5 papers)eLife (3 papers)Cell (3 papers)Journal of Lipid Research (3 papers)Nature Communications (3 papers)
- Partner nations
- United StatesUnited KingdomSaudi Arabia
In The Last Decade
Judith Simcox
46 papers receiving 2.7k citations
Judith Simcox's Hit Papers
Peers
Comparison fields: 5 of 109
- Hematology 556
- Aging 87
- Physiology 856
- Genetics 253
- Biochemistry 135
Countries citing papers authored by Judith Simcox
This map shows the geographic impact of Judith Simcox'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 Judith Simcox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Simcox more than expected).
Fields of papers citing papers by Judith Simcox
This network shows the impact of papers produced by Judith Simcox. 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 Judith Simcox. The network helps show where Judith Simcox may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith Simcox, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Iron and Diabetes Risk Hit paper breakdown → | 2013 | 449 |
| 2 | 2012 | 396 | |
| 3 | 2012 | 289 | |
| 4 | 2017 | 220 | |
| 5 | Diabetes mellitus—Progress and opportunities in the evolving epidemic Hit paper breakdown → | 2024 | 156 |
| 6 | 2010 | 147 | |
| 7 | 2022 | 114 | |
| 8 | 2015 | 104 | |
| 9 | 2023 | 80 | |
| 10 | 2021 | 74 | |
| 11 | 2022 | 73 | |
| 12 | 2019 | 66 | |
| 13 | 2013 | 56 | |
| 14 | 2018 | 55 | |
| 15 | 2020 | 48 | |
| 16 | 2004 | 48 | |
| 17 | 2014 | 45 | |
| 18 | 2017 | 44 | |
| 19 | 2012 | 41 | |
| 20 | 2021 | 37 |
About Judith Simcox
Judith Simcox is a scholar working on Physiology, Biochemistry, Aging, Molecular Biology and Hematology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Lipid metabolism and biosynthesis (10 papers), Diet and metabolism studies (7 papers), Iron Metabolism and Disorders (5 papers), Mitochondrial Function and Pathology (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). The work is most often cited by research in Hematology (556 citations), Aging (87 citations), Physiology (856 citations), Genetics (253 citations) and Biochemistry (135 citations). Judith Simcox has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Donald A. McClain, Dudley W. Lamming, Jingyu Huang, Robert C. Cooksey, Deborah L. Jones, Claudio J. Villanueva, William L. Holland, Ying Lin, Li Cai and Yan Ming Gao. Their work appears in journals such as Cell Metabolism, eLife, Cell, Journal of Lipid Research and Nature Communications.
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.