Anthony Lima
Impact in
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- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer-related Molecular Pathways
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- Angiogenesis and VEGF in Cancer
Papers in
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- Angiogenesis and VEGF in Cancer 2
- Wnt/β-catenin signaling in development and cancer 1
- CRISPR and Genetic Engineering 1
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- Cancer Genomics and Diagnostics 1
- Co-authors
- Richard A.D. Carano (3 shared papers)Leisa Johnson (2 shared papers)Jason H. Cheng (2 shared papers)Rafael Molina (2 shared papers)Hartmut Koeppen (1 shared paper)Chingwei V. Lee (1 shared paper)Gregory D. Plowman (1 shared paper)Ron Yu (1 shared paper)
- Journals
- The Journal of Pathology (1 paper)Journal of Clinical Investigation (1 paper)Nature Biotechnology (1 paper)Translational Oncology (1 paper)iScience (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Anthony Lima
7 papers receiving 336 citations
Peers
Comparison fields: 5 of 39
- Oncology 115
- Molecular Biology 141
- Small Animals 17
- Cancer Research 24
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Anthony Lima
This map shows the geographic impact of Anthony Lima'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 Anthony Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Lima more than expected).
Fields of papers citing papers by Anthony Lima
This network shows the impact of papers produced by Anthony Lima. 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 Anthony Lima. The network helps show where Anthony Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Lima, 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 | 2010 | 193 | |
| 2 | 2012 | 68 | |
| 3 | 2013 | 33 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 17 | |
| 6 | 2015 | 13 | |
| 7 | 2022 | 3 |
About Anthony Lima
Anthony Lima is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Oncology and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 344 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Medical Imaging Techniques and Applications (1 paper), CRISPR and Genetic Engineering (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Oncology (115 citations), Molecular Biology (141 citations), Small Animals (17 citations), Cancer Research (24 citations) and Pulmonary and Respiratory Medicine (49 citations). Anthony Lima has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Richard A.D. Carano, Leisa Johnson, Jason H. Cheng, Rafael Molina, Hartmut Koeppen, Chingwei V. Lee, Gregory D. Plowman, Ron Yu, Germaine Fuh and Michelle Nannini. Their work appears in journals such as The Journal of Pathology, Journal of Clinical Investigation, Nature Biotechnology, Translational Oncology and iScience.
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.