Michael A. Quezada
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 6
-
- Advanced Fluorescence Microscopy Techniques 1
- Co-authors
- Shawn M. Gillespie (2 shared papers)Michelle Monje (2 shared papers)Madhuri Kambhampati (1 shared paper)Surya Nagaraja (1 shared paper)James Lennon (1 shared paper)Mariella G. Filbin (1 shared paper)Pamelyn J. Woo (1 shared paper)Javad Nazarian (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)Molecular Cell (1 paper)Cell Reports Medicine (1 paper)Nature Genetics (1 paper)eLife (1 paper)
- Partner nations
- United StatesAustriaSweden
In The Last Decade
Michael A. Quezada
8 papers receiving 586 citations
Michael A. Quezada's Hit Papers
Peers
Comparison fields: 5 of 41
- Genetics 389
- Developmental Neuroscience 10
- Molecular Biology 174
- Cancer Research 25
- Oncology 38
Countries citing papers authored by Michael A. Quezada
This map shows the geographic impact of Michael A. Quezada'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 A. Quezada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Quezada more than expected).
Fields of papers citing papers by Michael A. Quezada
This network shows the impact of papers produced by Michael A. Quezada. 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 A. Quezada. The network helps show where Michael A. Quezada may publish in the future.
Co-authors
The 15 scholars most cited alongside Michael A. Quezada, 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 | 2019 | 163 | |
| 2 | The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location Hit paper breakdown → | 2022 | 135 |
| 3 | 2019 | 128 | |
| 4 | GABAergic neuron-to-glioma synapses in diffuse midline gliomas Hit paper breakdown → | 2025 | 66 |
| 5 | 2022 | 48 | |
| 6 | 2024 | 37 | |
| 7 | 2022 | 10 | |
| 8 | 2023 | 2 |
About Michael A. Quezada
Michael A. Quezada is a scholar working on Genetics, Biophysics, Molecular Biology, Cellular and Molecular Neuroscience and Nuclear Energy and Engineering, having authored 8 papers that have together received 589 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Chromatin Remodeling and Cancer (2 papers), Gene Regulatory Network Analysis (1 paper), Photoreceptor and optogenetics research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Genetics (389 citations), Developmental Neuroscience (10 citations), Molecular Biology (174 citations), Cancer Research (25 citations) and Oncology (38 citations). Michael A. Quezada has collaborated with scholars based in United States, Austria and Sweden. Frequent co-authors include Shawn M. Gillespie, Michelle Monje, Madhuri Kambhampati, Surya Nagaraja, James Lennon, Mariella G. Filbin, Pamelyn J. Woo, Javad Nazarian, Marlene Arzt and Mario L. Suvà. Their work appears in journals such as Science Translational Medicine, Molecular Cell, Cell Reports Medicine, Nature Genetics and eLife.
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.