Janel Suburu
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Cancer, Lipids, and Metabolism 6
- Cancer, Hypoxia, and Metabolism 1
-
- Lipid metabolism and biosynthesis 4
- Eicosanoids and Hypertension Pharmacology 1
- Co-authors
- Yong Q. Chen (6 shared papers)Zhennan Gu (4 shared papers)Haiqin Chen (3 shared papers)Jian Wu (3 shared papers)Lihong Shi (2 shared papers)Shihua Wang (2 shared papers)Michael J. Thomas (2 shared papers)Michael P. Samuel (1 shared paper)
- Journals
- Carcinogenesis (2 papers)Food Bioscience (1 paper)Prostaglandins & Other Lipid Mediators (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)BioMed Research International (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Janel Suburu
6 papers receiving 366 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 168
- Biochemistry 80
- Nutrition and Dietetics 131
- Molecular Biology 170
- Biophysics 10
Countries citing papers authored by Janel Suburu
This map shows the geographic impact of Janel Suburu'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 Janel Suburu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janel Suburu more than expected).
Fields of papers citing papers by Janel Suburu
This network shows the impact of papers produced by Janel Suburu. 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 Janel Suburu. The network helps show where Janel Suburu may publish in the future.
Co-authors
The 23 scholars most cited alongside Janel Suburu, 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 | 2012 | 98 | |
| 2 | 2013 | 85 | |
| 3 | 2014 | 65 | |
| 4 | 2013 | 51 | |
| 5 | 2011 | 38 | |
| 6 | 2013 | 34 |
About Janel Suburu
Janel Suburu is a scholar working on Cancer Research, Biochemistry, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 371 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and biosynthesis (4 papers), Prostate Cancer Treatment and Research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cholesterol and Lipid Metabolism (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Cancer Research (168 citations), Biochemistry (80 citations), Nutrition and Dietetics (131 citations), Molecular Biology (170 citations) and Biophysics (10 citations). Janel Suburu has collaborated with scholars based in United States and China. Frequent co-authors include Yong Q. Chen, Zhennan Gu, Haiqin Chen, Jian Wu, Lihong Shi, Shihua Wang, Michael J. Thomas, Michael P. Samuel, Isabelle M. Berquin and Nancy D. Kock. Their work appears in journals such as Carcinogenesis, Food Bioscience, Prostaglandins & Other Lipid Mediators, American Journal of Physiology-Endocrinology and Metabolism and BioMed Research International.
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.