Michael M. Lizardo
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
- Oncology 12
- CAR-T cell therapy research 4
- Cancer Cells and Metastasis 3
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- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Chand Khanna (9 shared papers)Timothy M. Fan (3 shared papers)Ryan D. Roberts (2 shared papers)Ling Ren (5 shared papers)Arnulfo Mendoza (5 shared papers)David A. Wink (2 shared papers)Lisa A. Ridnour (2 shared papers)Robert Y.S. Cheng (2 shared papers)
- Journals
- Clinical Cancer Research (3 papers)Cancer Research (3 papers)Oncotarget (2 papers)Frontiers in Oncology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael M. Lizardo
24 papers receiving 762 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 191
- Oncology 219
- Immunology 134
- Pulmonary and Respiratory Medicine 175
- Biochemistry 43
Countries citing papers authored by Michael M. Lizardo
This map shows the geographic impact of Michael M. Lizardo'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 Michael M. Lizardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Lizardo more than expected).
Fields of papers citing papers by Michael M. Lizardo
This network shows the impact of papers produced by Michael M. Lizardo. 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 Michael M. Lizardo. The network helps show where Michael M. Lizardo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael M. Lizardo, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 143 | |
| 2 | 2019 | 89 | |
| 3 | 2015 | 82 | |
| 4 | 2020 | 66 | |
| 5 | 2012 | 62 | |
| 6 | 2015 | 61 | |
| 7 | 2011 | 46 | |
| 8 | 2016 | 43 | |
| 9 | 2017 | 40 | |
| 10 | 2005 | 33 | |
| 11 | 2016 | 22 | |
| 12 | 2023 | 19 | |
| 13 | 2004 | 15 | |
| 14 | 2018 | 13 | |
| 15 | 2012 | 11 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2007 | 2 | |
| 20 | 2022 | 2 |
About Michael M. Lizardo
Michael M. Lizardo is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Genetics, having authored 24 papers that have together received 770 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Research and Treatments (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Cellular Mechanics and Interactions (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (191 citations), Oncology (219 citations), Immunology (134 citations), Pulmonary and Respiratory Medicine (175 citations) and Biochemistry (43 citations). Michael M. Lizardo has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Chand Khanna, Timothy M. Fan, Ryan D. Roberts, Ling Ren, Arnulfo Mendoza, David A. Wink, Lisa A. Ridnour, Robert Y.S. Cheng, Christopher Switzer and Sharon A. Glynn. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Oncotarget, Frontiers in Oncology and PLoS ONE.
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.