Daniel C. Factor
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neurogenesis and neuroplasticity mechanisms 9
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- MicroRNA in disease regulation 9
- Co-authors
- Paul J. Tesar (9 shared papers)Robert H. Miller (2 shared papers)Zachary Scott Nevin (3 shared papers)Angela M. Lager (2 shared papers)Panagiotis Douvaras (2 shared papers)Valentina Fossati (2 shared papers)Fadi J. Najm (2 shared papers)Anita Zaremba (1 shared paper)
- Journals
- Nature (4 papers)Cell (2 papers)Journal of Clinical Investigation (1 paper)Nature Methods (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Daniel C. Factor
18 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 592
- Neurology 207
- Cancer Research 274
- Genetics 176
- Molecular Biology 1.2k
Countries citing papers authored by Daniel C. Factor
This map shows the geographic impact of Daniel C. Factor'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 Daniel C. Factor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Factor more than expected).
Fields of papers citing papers by Daniel C. Factor
This network shows the impact of papers produced by Daniel C. Factor. 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 Daniel C. Factor. The network helps show where Daniel C. Factor may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Factor, 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 | 2015 | 356 | |
| 2 | 2018 | 277 | |
| 3 | 2013 | 221 | |
| 4 | 2018 | 182 | |
| 5 | 2017 | 173 | |
| 6 | 2017 | 154 | |
| 7 | 2014 | 122 | |
| 8 | 2012 | 63 | |
| 9 | 2017 | 56 | |
| 10 | 2016 | 56 | |
| 11 | 2018 | 32 | |
| 12 | 2020 | 29 | |
| 13 | 2018 | 20 | |
| 14 | 2019 | 12 | |
| 15 | 2013 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2025 | 1 |
About Daniel C. Factor
Daniel C. Factor is a scholar working on Developmental Neuroscience, Cancer Research, Molecular Biology, Hematology and Neurology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), MicroRNA in disease regulation (9 papers), Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (4 papers), Protein Degradation and Inhibitors (4 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Developmental Neuroscience (592 citations), Neurology (207 citations), Cancer Research (274 citations), Genetics (176 citations) and Molecular Biology (1.2k citations). Daniel C. Factor has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Paul J. Tesar, Robert H. Miller, Zachary Scott Nevin, Angela M. Lager, Panagiotis Douvaras, Valentina Fossati, Fadi J. Najm, Anita Zaremba, Andrew V. Caprariello and Tadao Maeda. Their work appears in journals such as Nature, Cell, Journal of Clinical Investigation, Nature Methods 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.