Daniel Nichol
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 2
- Genetics 7
- Evolution and Genetic Dynamics 7
- Co-authors
- Alexander R.A. Anderson (5 shared papers)Peter Jeavons (4 shared papers)Jacob G. Scott (4 shared papers)Jenny Rieck (4 shared papers)Robert A. Bonomo (3 shared papers)Karen M. Rodrigue (1 shared paper)Kristen M. Kennedy (1 shared paper)Cheryl Grady (1 shared paper)
- Journals
- Nature Communications (4 papers)PLoS Computational Biology (2 papers)Cerebral Cortex (2 papers)Stroke (2 papers)Human Brain Mapping (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Nichol
19 papers receiving 773 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 90
- Cancer Research 216
- Molecular Medicine 70
- Genetics 234
- Cognitive Neuroscience 120
Countries citing papers authored by Daniel Nichol
This map shows the geographic impact of Daniel Nichol'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 Nichol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nichol more than expected).
Fields of papers citing papers by Daniel Nichol
This network shows the impact of papers produced by Daniel Nichol. 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 Nichol. The network helps show where Daniel Nichol may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nichol, 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 | 118 | |
| 2 | 2020 | 109 | |
| 3 | 2015 | 108 | |
| 4 | 2020 | 77 | |
| 5 | 2017 | 60 | |
| 6 | 2020 | 60 | |
| 7 | 2018 | 50 | |
| 8 | 2020 | 38 | |
| 9 | 2016 | 32 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2018 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 |
About Daniel Nichol
Daniel Nichol is a scholar working on Molecular Biology, Genetics, Cancer Research, Cognitive Neuroscience and Pathology and Forensic Medicine, having authored 19 papers that have together received 782 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (4 papers), Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Neural dynamics and brain function (3 papers), Gene Regulatory Network Analysis (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Modeling and Simulation (90 citations), Cancer Research (216 citations), Molecular Medicine (70 citations), Genetics (234 citations) and Cognitive Neuroscience (120 citations). Daniel Nichol has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alexander R.A. Anderson, Peter Jeavons, Jacob G. Scott, Jenny Rieck, Robert A. Bonomo, Karen M. Rodrigue, Kristen M. Kennedy, Cheryl Grady, Mark Robertson‐Tessi and Andrea Sottoriva. Their work appears in journals such as Nature Communications, PLoS Computational Biology, Cerebral Cortex, Stroke and Human Brain Mapping.
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.