Alex Aravanis
Impact in
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- Cancer Genomics and Diagnostics
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- Pancreatic and Hepatic Oncology Research
Papers in
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- Cancer Genomics and Diagnostics 16
- Cancer-related molecular mechanisms research 3
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- Molecular Biology Techniques and Applications 5
- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 1
- Co-authors
- Oliver Venn (10 shared papers)Tara Maddala (10 shared papers)Earl Hubbell (10 shared papers)Anne‐Renee Hartman (9 shared papers)Ling Shen (5 shared papers)Arash Jamshidi (9 shared papers)Minetta C. Liu (8 shared papers)Samuel Gross (8 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Cancer Research (2 papers)Journal of Global Oncology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Alex Aravanis
16 papers receiving 183 citations
Peers
Comparison fields: 5 of 27
- Cancer Research 159
- Oncology 81
- Pulmonary and Respiratory Medicine 93
- Pathology and Forensic Medicine 47
- Molecular Biology 70
Countries citing papers authored by Alex Aravanis
This map shows the geographic impact of Alex Aravanis'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 Alex Aravanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Aravanis more than expected).
Fields of papers citing papers by Alex Aravanis
This network shows the impact of papers produced by Alex Aravanis. 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 Alex Aravanis. The network helps show where Alex Aravanis may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Aravanis, 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 | 2018 | 38 | |
| 2 | 2018 | 35 | |
| 3 | 2018 | 20 | |
| 4 | 2017 | 20 | |
| 5 | 2018 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2017 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2020 | 1 |
About Alex Aravanis
Alex Aravanis is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Oncology, having authored 16 papers that have together received 186 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Genetic factors in colorectal cancer (5 papers), Molecular Biology Techniques and Applications (5 papers), Epigenetics and DNA Methylation (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer-related molecular mechanisms research (3 papers), Renal cell carcinoma treatment (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (159 citations), Oncology (81 citations), Pulmonary and Respiratory Medicine (93 citations), Pathology and Forensic Medicine (47 citations) and Molecular Biology (70 citations). Alex Aravanis has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Oliver Venn, Tara Maddala, Earl Hubbell, Anne‐Renee Hartman, Ling Shen, Arash Jamshidi, Minetta C. Liu, Samuel Gross, Anton Valouev and Richard T. Williams. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Journal of Global 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.