Michael Durante
Impact in
- Ophthalmology top 1%
- Ocular Oncology and Treatments
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
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- Ubiquitin and proteasome pathways 3
- Single-cell and spatial transcriptomics 3
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- Ocular Oncology and Treatments 12
- Co-authors
- J. William Harbour (19 shared papers)Stefan Kurtenbach (9 shared papers)Christina L. Decatur (10 shared papers)Jeffim N. Kuznetsov (4 shared papers)Daniel A. Rodriguez (6 shared papers)Matthew G. Field (7 shared papers)Margaret I. Sanchez (4 shared papers)Alan S. Livingstone (1 shared paper)
- Journals
- Blood (6 papers)Nature Communications (3 papers)Science Advances (3 papers)Clinical Cancer Research (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesPanamaCanada
In The Last Decade
Michael Durante
33 papers receiving 1.2k citations
Michael Durante's Hit Papers
Peers
Comparison fields: 5 of 82
- Ophthalmology 391
- Sensory Systems 92
- Immunology 246
- Oncology 284
- Cancer Research 151
Countries citing papers authored by Michael Durante
This map shows the geographic impact of Michael Durante'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 Durante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Durante more than expected).
Fields of papers citing papers by Michael Durante
This network shows the impact of papers produced by Michael Durante. 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 Durante. The network helps show where Michael Durante may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Durante, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell analysis reveals new evolutionary complexity in uveal melanoma Hit paper breakdown → | 2020 | 305 |
| 2 | 2020 | 151 | |
| 3 | 2018 | 133 | |
| 4 | 2016 | 99 | |
| 5 | 2015 | 98 | |
| 6 | 2019 | 71 | |
| 7 | 2018 | 67 | |
| 8 | 2019 | 65 | |
| 9 | 2013 | 29 | |
| 10 | 2021 | 26 | |
| 11 | 2024 | 22 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2023 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2020 | 6 |
About Michael Durante
Michael Durante is a scholar working on Molecular Biology, Ophthalmology, Oncology, Hematology and Cancer Research, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (12 papers), Multiple Myeloma Research and Treatments (7 papers), Cancer Genomics and Diagnostics (5 papers), CAR-T cell therapy research (5 papers), Ubiquitin and proteasome pathways (3 papers), Single-cell and spatial transcriptomics (3 papers), Cancer-related Molecular Pathways (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Ophthalmology (391 citations), Sensory Systems (92 citations), Immunology (246 citations), Oncology (284 citations) and Cancer Research (151 citations). Michael Durante has collaborated with scholars based in United States, Panama and Canada. Frequent co-authors include J. William Harbour, Stefan Kurtenbach, Christina L. Decatur, Jeffim N. Kuznetsov, Daniel A. Rodriguez, Matthew G. Field, Margaret I. Sanchez, Alan S. Livingstone, Lynn G. Feun and Helen Snyder. Their work appears in journals such as Blood, Nature Communications, Science Advances, Clinical Cancer Research and Oncogene.
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.