Mark Koontz
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Amyotrophic Lateral Sclerosis Research 3
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- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Co-authors
- Erik M. Ullian (7 shared papers)Martina de Majo (4 shared papers)David H. Rowitch (1 shared paper)Kun Leng (2 shared papers)Martin Kampmann (3 shared papers)Shinong Wang (1 shared paper)Julia TCW (1 shared paper)Michael V. Sofroniew (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Glia (1 paper)Neuro-Oncology (1 paper)Nature Neuroscience (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Mark Koontz
8 papers receiving 197 citations
Peers
Comparison fields: 5 of 45
- Developmental Neuroscience 41
- Neurology 83
- Biological Psychiatry 13
- Aging 8
- Neurology 37
Countries citing papers authored by Mark Koontz
This map shows the geographic impact of Mark Koontz'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 Koontz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Koontz more than expected).
Fields of papers citing papers by Mark Koontz
This network shows the impact of papers produced by Mark Koontz. 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 Koontz. The network helps show where Mark Koontz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Koontz, 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 | 2022 | 93 | |
| 2 | 2020 | 47 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 23 | |
| 5 | 2025 | 5 | |
| 6 | Forest landowners’ guide to the Federal income tax | 2013 | 3 |
| 7 | 2019 | 2 | |
| 8 | 2025 | 1 |
About Mark Koontz
Mark Koontz is a scholar working on Neurology, Molecular Biology, Neurology, Physiology and Developmental Neuroscience, having authored 8 papers that have together received 201 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), CRISPR and Genetic Engineering (3 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Single-cell and spatial transcriptomics (2 papers), Forest Management and Policy (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Developmental Neuroscience (41 citations), Neurology (83 citations), Biological Psychiatry (13 citations), Aging (8 citations) and Neurology (37 citations). Mark Koontz has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Erik M. Ullian, Martina de Majo, David H. Rowitch, Kun Leng, Martin Kampmann, Shinong Wang, Julia TCW, Michael V. Sofroniew, Hyosung Kim and Wilber Romero‐Fernandez. Their work appears in journals such as Journal of Clinical Investigation, Glia, Neuro-Oncology, Nature Neuroscience and Stem Cell Reports.
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.