Daniel Mace
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Plant Micronutrient Interactions and Effects
- Aging top 5%
Papers in
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- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 1
- Gene expression and cancer classification 1
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- Plant Molecular Biology Research 3
- Co-authors
- Philip N. Benfey (5 shared papers)Jean Y. Wang (3 shared papers)José R. Dinneny (2 shared papers)Siobhán M. Brady (2 shared papers)Uwe Ohler (6 shared papers)Ji‐Young Lee (3 shared papers)David A. Orlando (1 shared paper)Jee Jung (2 shared papers)
- Journals
- Science (2 papers)Bioinformatics (2 papers)Nature Methods (1 paper)G3 Genes Genomes Genetics (1 paper)Nature (1 paper)
- Partner nations
- United StatesSlovakia
In The Last Decade
Daniel Mace
11 papers receiving 2.0k citations
Daniel Mace's Hit Papers
Peers
Comparison fields: 5 of 91
- Plant Science 1.5k
- Aging 69
- Molecular Biology 1.2k
- Biophysics 61
- Cancer Research 113
Countries citing papers authored by Daniel Mace
This map shows the geographic impact of Daniel Mace'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 Mace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mace more than expected).
Fields of papers citing papers by Daniel Mace
This network shows the impact of papers produced by Daniel Mace. 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 Mace. The network helps show where Daniel Mace may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mace, 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 | A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns Hit paper breakdown → | 2007 | 902 |
| 2 | Cell Identity Mediates the Response of Arabidopsis Roots to Abiotic Stress Hit paper breakdown → | 2008 | 558 |
| 3 | 2006 | 228 | |
| 4 | 2008 | 137 | |
| 5 | 2012 | 92 | |
| 6 | 2014 | 82 | |
| 7 | 2009 | 22 | |
| 8 | 2006 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2011 | 7 | |
| 11 | 2010 | 1 |
About Daniel Mace
Daniel Mace is a scholar working on Molecular Biology, Plant Science, Aging, Biophysics and Sociology and Political Science, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cell Image Analysis Techniques (2 papers), CRISPR and Genetic Engineering (1 paper), Tourism, Volunteerism, and Development (1 paper), MRI in cancer diagnosis (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Plant Science (1.5k citations), Aging (69 citations), Molecular Biology (1.2k citations), Biophysics (61 citations) and Cancer Research (113 citations). Daniel Mace has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Philip N. Benfey, Jean Y. Wang, José R. Dinneny, Siobhán M. Brady, Uwe Ohler, Ji‐Young Lee, David A. Orlando, Jee Jung, John Schiefelbein and Terri A. Long. Their work appears in journals such as Science, Bioinformatics, Nature Methods, G3 Genes Genomes Genetics and Nature.
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.