Gabriel Kremmidiotis
- Molecular Biology top 10%
- Genetics top 5%
- Organic Chemistry top 10%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- David F. CallenPeter D’EustachioLisa M. Guay‐WoodfordBradley K. YoderXiaoying HouMichal MrugElliot J. LefkowitzDavid R. Beier
- Topics
- Cancer, Hypoxia, and Metabolism (7 papers)Cancer Genomics and Diagnostics (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Gabriel Kremmidiotis
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.0k
- Genetics 525
- Organic Chemistry 213
- Psychiatry and Mental health 204
- Cellular and Molecular Neuroscience 188
Countries citing papers authored by Gabriel Kremmidiotis
This map shows the geographic impact of Gabriel Kremmidiotis'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 Gabriel Kremmidiotis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Kremmidiotis more than expected).
Fields of papers citing papers by Gabriel Kremmidiotis
This network shows the impact of papers produced by Gabriel Kremmidiotis. 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 Gabriel Kremmidiotis. The network helps show where Gabriel Kremmidiotis may publish in the future.
Co-authorship network of co-authors of Gabriel Kremmidiotis
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Kremmidiotis. A scholar is included among the top collaborators of Gabriel Kremmidiotis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Kremmidiotis. Gabriel Kremmidiotis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 44 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 54 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 69 | |
| 9 | Abstract #5564: BNC105 is a tubulin targeting agent that is not susceptible to efflux by Pgp transporter expression, and yields additive therapeutic benefit when combined with other anti-cancer agents | 1 |
| 10 | 43 | |
| 11 | 12 | |
| 12 | 121 | |
| 13 | 38 | |
| 14 | 272 | |
| 15 | 38 | |
| 16 | 56 | |
| 17 | 7 | |
| 18 | 43 | |
| 19 | 30 | |
| 20 | 37 |
About Gabriel Kremmidiotis
Gabriel Kremmidiotis is a scholar working on Cancer Research, Immunology and Allergy and Cell Biology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Cancer Genomics and Diagnostics (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Genetics (525 citations), Molecular Biology (1.0k citations) and Psychiatry and Mental health (204 citations). Gabriel Kremmidiotis has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include David F. Callen, Peter D’Eustachio, Lisa M. Guay‐Woodford, Bradley K. Yoder, Xiaoying Hou, Michal Mrug, Elliot J. Lefkowitz, David R. Beier, Alison Gardner and Annabell F. Leske. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.