Lisa D. Eli
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 20
- HER2/EGFR in Cancer Research 15
- Cancer Treatment and Pharmacology 5
- Lung Cancer Research Studies 2
-
- Advanced Breast Cancer Therapies 9
- Co-authors
- Jaime López-Mosqueda (1 shared paper)David P. Toczyski (1 shared paper)Nancy L. Maas (1 shared paper)Zophonı́as O. Jónsson (1 shared paper)James Wohlschlegel (1 shared paper)Alshad S. Lalani (6 shared papers)John Crown (7 shared papers)Denis M. Collins (4 shared papers)
- Journals
- Cancer Research (8 papers)Journal of Clinical Oncology (6 papers)Clinical Cancer Research (1 paper)Journal of the National Comprehensive Cancer Network (1 paper)Cancers (1 paper)
- Partner nations
- United StatesIrelandSpain
In The Last Decade
Lisa D. Eli
25 papers receiving 560 citations
Peers
Comparison fields: 5 of 52
- Oncology 296
- Radiology, Nuclear Medicine and Imaging 132
- Cell Biology 74
- Genetics 43
- Molecular Biology 289
Countries citing papers authored by Lisa D. Eli
This map shows the geographic impact of Lisa D. Eli'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 Lisa D. Eli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa D. Eli more than expected).
Fields of papers citing papers by Lisa D. Eli
This network shows the impact of papers produced by Lisa D. Eli. 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 Lisa D. Eli. The network helps show where Lisa D. Eli may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa D. Eli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 149 | |
| 2 | 2019 | 78 | |
| 3 | 2013 | 72 | |
| 4 | 2011 | 69 | |
| 5 | 2021 | 42 | |
| 6 | 2015 | 25 | |
| 7 | 2022 | 18 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2013 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 1 |
About Lisa D. Eli
Lisa D. Eli is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research, having authored 26 papers that have together received 565 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (15 papers), Advanced Breast Cancer Therapies (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Treatment and Pharmacology (5 papers), Cancer Genomics and Diagnostics (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Lung Cancer Research Studies (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Oncology (296 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Cell Biology (74 citations), Genetics (43 citations) and Molecular Biology (289 citations). Lisa D. Eli has collaborated with scholars based in United States, Ireland and Spain. Frequent co-authors include Jaime López-Mosqueda, David P. Toczyski, Nancy L. Maas, Zophonı́as O. Jónsson, James Wohlschlegel, Alshad S. Lalani, John Crown, Denis M. Collins, Neil T. Conlon and Trang Dao-Pick. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Clinical Cancer Research, Journal of the National Comprehensive Cancer Network and Cancers.
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.