Mark Marzano
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Extracellular vesicles in disease 4
- Epigenetics and DNA Methylation 2
- Pluripotent Stem Cells Research 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Barrier Structure and Function Studies 2
- Co-authors
- Yan Li (11 shared papers)Julie Bejoy (6 shared papers)Richard Jeske (4 shared papers)Liqing Song (3 shared papers)Teng Ma (2 shared papers)Qing‐Xiang Amy Sang (4 shared papers)Timothy Hua (3 shared papers)Xuegang Yuan (1 shared paper)
- Journals
- Cells (3 papers)Tissue Engineering Part B Reviews (2 papers)Tissue Engineering Part A (2 papers)Biomedicines (1 paper)ACS Biomaterials Science & Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Mark Marzano
11 papers receiving 369 citations
Peers
Comparison fields: 5 of 69
- Developmental Neuroscience 76
- Neurology 81
- Cancer Research 72
- Genetics 40
- Molecular Biology 226
Countries citing papers authored by Mark Marzano
This map shows the geographic impact of Mark Marzano'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 Mark Marzano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Marzano more than expected).
Fields of papers citing papers by Mark Marzano
This network shows the impact of papers produced by Mark Marzano. 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 Mark Marzano. The network helps show where Mark Marzano may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Marzano, 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 | 152 | |
| 2 | 2019 | 43 | |
| 3 | 2019 | 34 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 5 |
About Mark Marzano
Mark Marzano is a scholar working on Molecular Biology, Neurology, Developmental Neuroscience, Cancer Research and Surgery, having authored 11 papers that have together received 372 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), MicroRNA in disease regulation (4 papers), Extracellular vesicles in disease (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Epigenetics and DNA Methylation (2 papers), Pluripotent Stem Cells Research (2 papers), Barrier Structure and Function Studies (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (76 citations), Neurology (81 citations), Cancer Research (72 citations), Genetics (40 citations) and Molecular Biology (226 citations). Mark Marzano has collaborated with scholars based in United States. Frequent co-authors include Yan Li, Julie Bejoy, Richard Jeske, Liqing Song, Teng Ma, Qing‐Xiang Amy Sang, Timothy Hua, Xuegang Yuan, Jingjiao Guan and Cynthia Vied. Their work appears in journals such as Cells, Tissue Engineering Part B Reviews, Tissue Engineering Part A, Biomedicines and ACS Biomaterials Science & Engineering.
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.