Daniel Nichol
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Cancer Genomics and Diagnostics 6
- Genetics 7
- Evolution and Genetic Dynamics 7
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Alexander R.A. Anderson (5 shared papers)Peter Jeavons (4 shared papers)Jacob G. Scott (4 shared papers)Robert A. Bonomo (3 shared papers)Mark Robertson‐Tessi (3 shared papers)George D. Cresswell (5 shared papers)Andrea Sottoriva (5 shared papers)Chris Bryant (1 shared paper)
- Journals
- Nature Communications (4 papers)PLoS Computational Biology (2 papers)Stroke (2 papers)Nature Genetics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel Nichol
14 papers receiving 577 citations
Peers
Comparison fields: 5 of 85
- Modeling and Simulation 87
- Molecular Medicine 75
- Cancer Research 216
- Genetics 227
- Applied Microbiology and Biotechnology 11
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 | 116 | |
| 2 | 2015 | 102 | |
| 3 | 2020 | 70 | |
| 4 | 2020 | 57 | |
| 5 | 2017 | 57 | |
| 6 | 2018 | 45 | |
| 7 | 2020 | 33 | |
| 8 | 2016 | 32 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 22 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 |
About Daniel Nichol
Daniel Nichol is a scholar working on Cancer Research, Genetics, Modeling and Simulation, Molecular Biology and Pharmacology, having authored 14 papers that have together received 582 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), Genetic factors in colorectal cancer (2 papers), Gene Regulatory Network Analysis (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Modeling and Simulation (87 citations), Molecular Medicine (75 citations), Cancer Research (216 citations), Genetics (227 citations) and Applied Microbiology and Biotechnology (11 citations). Daniel Nichol has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Alexander R.A. Anderson, Peter Jeavons, Jacob G. Scott, Robert A. Bonomo, Mark Robertson‐Tessi, George D. Cresswell, Andrea Sottoriva, Chris Bryant, Benjamin Werner and Andrea M. Hujer. Their work appears in journals such as Nature Communications, PLoS Computational Biology, Stroke, Nature Genetics and Scientific 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.