Théodore J. Lampidis
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 30
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 9
- Cancer therapeutics and mechanisms 6
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 9
- Cancer-related Molecular Pathways 8
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 11
- Biotechnology top 5%
- Cancer Research and Treatments 9
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- Autophagy in Disease and Therapy 8
Théodore J. Lampidis
87 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 1.8k
- Molecular Biology 3.0k
- Oncology 1.0k
- Cell Biology 412
- Biotechnology 167
Countries citing papers authored by Théodore J. Lampidis
This map shows the geographic impact of Théodore J. Lampidis'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 Théodore J. Lampidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Théodore J. Lampidis more than expected).
Fields of papers citing papers by Théodore J. Lampidis
This network shows the impact of papers produced by Théodore J. Lampidis. 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 Théodore J. Lampidis. The network helps show where Théodore J. Lampidis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Théodore J. Lampidis, 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 | 2022 | 4 | |
| 2 | 2021 | 17 | |
| 3 | 2019 | 41 | |
| 4 | 2015 | 25 | |
| 5 | 2015 | 34 | |
| 6 | 2012 | 54 | |
| 7 | 2012 | 67 | |
| 8 | 2012 | 44 | |
| 9 | 2012 | 411 | |
| 10 | Retinoblastoma Molecular Genomics: Regional Differences in the Molecular Genomics Expression Following Treatment With 2-Deoxy-D-Glucose in LHBETATAG Retinal Tumors | 2010 | 1 |
| 11 | 2010 | 94 | |
| 12 | 2008 | 30 | |
| 13 | Inhibition of mTOR activity potentiates 2-DG-induced cell death in hypoxic cells via down-regulation of HIF-1α | 2007 | 1 |
| 14 | Phase I trial of glycolitic inhibition with 2-deoxyglucose and docetaxel for patients with solid tumors | 2006 | 4 |
| 15 | 2-Deoxy-D-glucose kills select tumor cell types under normoxia: reversal by mannose indicates interference with glycosylation | 2005 | 1 |
| 16 | 2004 | 175 | |
| 17 | 2003 | 21 | |
| 18 | 1994 | 2 | |
| 19 | 1992 | 7 | |
| 20 | 1989 | 64 |
About Théodore J. Lampidis
Théodore J. Lampidis is a scholar working on Cancer Research, Oncology and Biotechnology, having authored 87 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (30 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Mitochondrial Function and Pathology (9 papers), Cancer Research and Treatments (9 papers), Drug Transport and Resistance Mechanisms (9 papers), Cancer-related Molecular Pathways (8 papers), Autophagy in Disease and Therapy (8 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (3.0k citations) and Oncology (1.0k citations). Théodore J. Lampidis has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Niramol Savaraj, Metin Kurtoğlu, Samuel D. Bernal, Ian C. Summerhayes, Johnathan C. Maher, Lan Bo Chen, Waldemar Priebe, Medhi Wangpaichitr, Awtar Krishan and Huaping Liu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.