Leanne G. Ahronian
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
- Oncology top 10%
- Colorectal Cancer Treatments and Studies 5
- Cancer Immunotherapy and Biomarkers 3
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy 2
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- Lung Cancer Treatments and Mutations 3
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- Virus-based gene therapy research 3
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- Animal Virus Infections Studies 3
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- Cancer Research and Treatments 2
- Co-authors
- Ryan B. CorcoranBrian C. LewisScott KopetzJohn H. StricklerRebecca J. NagyAllan Andresson Lima PereiraDonna NiedzwieckiJonathan M. Loree
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Cancer Research (3 papers)
- Partner nations
- United StatesItalyTaiwan
In The Last Decade
Leanne G. Ahronian
17 papers receiving 520 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 226
- Oncology 290
- Pathology and Forensic Medicine 131
- Pulmonary and Respiratory Medicine 174
- Hepatology 33
Countries citing papers authored by Leanne G. Ahronian
This map shows the geographic impact of Leanne G. Ahronian'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 Leanne G. Ahronian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leanne G. Ahronian more than expected).
Fields of papers citing papers by Leanne G. Ahronian
This network shows the impact of papers produced by Leanne G. Ahronian. 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 Leanne G. Ahronian. The network helps show where Leanne G. Ahronian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leanne G. Ahronian, 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 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2020 | 0 | |
| 5 | 2019 | 16 | |
| 6 | 2017 | 196 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 4 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 138 | |
| 12 | 2015 | 5 | |
| 13 | 2015 | 11 | |
| 14 | 2014 | 26 | |
| 15 | 2014 | 5 | |
| 16 | 2014 | 7 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 22 |
About Leanne G. Ahronian
Leanne G. Ahronian is a scholar working on Oncology, Animal Science and Zoology and Cancer Research, having authored 18 papers that have together received 524 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (5 papers), Virus-based gene therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Animal Virus Infections Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Mechanisms and Therapy (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (226 citations), Oncology (290 citations) and Pathology and Forensic Medicine (131 citations). Leanne G. Ahronian has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Ryan B. Corcoran, Brian C. Lewis, Scott Kopetz, John H. Strickler, Rebecca J. Nagy, Allan Andresson Lima Pereira, Donna Niedzwiecki, Jonathan M. Loree, Aparna R. Parikh and W. Michael Korn. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.