Cornelia Photopoulos
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
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- Cancer, Lipids, and Metabolism 4
- Cancer, Hypoxia, and Metabolism 3
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- Metabolism, Diabetes, and Cancer 2
- Epigenetics and DNA Methylation 1
- Metabolomics and Mass Spectrometry Studies 1
- PI3K/AKT/mTOR signaling in cancer 1
- Co-authors
- Massimo Loda (5 shared papers)Giorgia Zadra (5 shared papers)Natalia Scaglia (4 shared papers)Svitlana Tyekucheva (3 shared papers)Carmen Priolo (3 shared papers)Neal C. Birnberg (2 shared papers)Giuseppe Fedele (2 shared papers)Pedram Heidari (2 shared papers)
- Journals
- EMBO Molecular Medicine (2 papers)Cancer Research (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Cornelia Photopoulos
5 papers receiving 574 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 305
- Biochemistry 50
- Molecular Biology 365
- Pulmonary and Respiratory Medicine 116
- Geriatrics and Gerontology 7
Countries citing papers authored by Cornelia Photopoulos
This map shows the geographic impact of Cornelia Photopoulos'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 Cornelia Photopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Photopoulos more than expected).
Fields of papers citing papers by Cornelia Photopoulos
This network shows the impact of papers produced by Cornelia Photopoulos. 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 Cornelia Photopoulos. The network helps show where Cornelia Photopoulos may publish in the future.
Co-authors
The 20 scholars most cited alongside Cornelia Photopoulos, 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 | 2013 | 223 | |
| 2 | 2014 | 166 | |
| 3 | 2014 | 112 | |
| 4 | 2014 | 73 | |
| 5 | 2014 | 6 |
About Cornelia Photopoulos
Cornelia Photopoulos is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Biochemistry and Applied Microbiology and Biotechnology, having authored 5 papers that have together received 580 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Epigenetics and DNA Methylation (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Prostate Cancer Treatment and Research (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Tannin, Tannase and Anticancer Activities (1 paper). The work is most often cited by research in Cancer Research (305 citations), Biochemistry (50 citations), Molecular Biology (365 citations), Pulmonary and Respiratory Medicine (116 citations) and Geriatrics and Gerontology (7 citations). Cornelia Photopoulos has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Massimo Loda, Giorgia Zadra, Natalia Scaglia, Svitlana Tyekucheva, Carmen Priolo, Neal C. Birnberg, Giuseppe Fedele, Pedram Heidari, Ewa Sicińska and Umar Mahmood. Their work appears in journals such as EMBO Molecular Medicine, Cancer Research, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Cell Cycle.
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.