Mark Koontz
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Amyotrophic Lateral Sclerosis Research 3
-
- 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)Martin Kampmann (3 shared papers)Kun Leng (2 shared papers)Shinong Wang (1 shared paper)Ethan S. Lippmann (1 shared paper)Hyosung Kim (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Stem Cell Reports (1 paper)Neuron (1 paper)Neuro-Oncology (1 paper)Glia (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Mark Koontz
7 papers receiving 172 citations
Peers
Comparison fields: 5 of 46
- Neurology 82
- Developmental Neuroscience 41
- Biological Psychiatry 13
- Aging 8
- Neurology 32
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 | 78 | |
| 2 | 2020 | 46 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 19 | |
| 5 | 2025 | 3 | |
| 6 | Forest landowners’ guide to the Federal income tax | 2013 | 3 |
| 7 | 2019 | 2 | |
| 8 | 2025 | 0 |
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 176 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), CRISPR and Genetic Engineering (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers), Cancer-related molecular mechanisms research (1 paper) and Forest Management and Policy (1 paper). The work is most often cited by research in Neurology (82 citations), Developmental Neuroscience (41 citations), Biological Psychiatry (13 citations), Aging (8 citations) and Neurology (32 citations). Mark Koontz has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Erik M. Ullian, Martina de Majo, David H. Rowitch, Martin Kampmann, Kun Leng, Shinong Wang, Ethan S. Lippmann, Hyosung Kim, Brendan Rooney and Stephen P.J. Fancy. Their work appears in journals such as Journal of Clinical Investigation, Stem Cell Reports, Neuron, Neuro-Oncology and Glia.
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.