Daniel Mace

2.7k citations
10 papers · 2.2k · 2 hit papers · h-index 9

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant Micronutrient Interactions and Effects
    • Plant nutrient uptake and metabolism
    • Plant-Microbe Interactions and Immunity
    • Polysaccharides and Plant Cell Walls
  • Biophysics top 5%

Papers in

    • Cell Image Analysis Techniques 4
    • Plant Molecular Biology Research 2
    • Plant Stress Responses and Tolerance 1

Daniel Mace

10 papers receiving 2.2k citations

Daniel Mace's Hit Papers

Cell Identity Mediates the Response of Arabidopsis Roots to Abiotic Stress 2008 · 624 citations
6240+6+12Years since publication250500750

Peers

Daniel Mace
Comparison fields: 5 of 48
  • Plant Science 1.2k
  • Biophysics 43
  • Molecular Biology 327
  • Cancer Research 63
  • Aging 3
Replace Simon Stael with:
Simon Stael Belgium
Lilach Pnueli Israel
Thomas Merkle Germany
Ana Campilho Portugal
Sascha Laubinger Germany
Marja C.P. Timmermans United States
Sophie Desset France
Patrick Sieber Switzerland
Daan A. Weits Italy
Catherine Bergounioux A France
Daniel Mace relative to Simon Stael Belgium Simon Stael's profile →
Citations per field
00.5×2×3×3.6×
Simon Stael · 1×
Citations per year

Countries citing papers authored by Daniel Mace

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Mace Line = papers co-authored together Daniel Mace links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns
Hit paper breakdown →
2007966
2
Cell Identity Mediates the Response of Arabidopsis Roots to Abiotic Stress
Hit paper breakdown →
2008624
3 2006235
4 2008152
5 2012101
6 201482
7 200921
8 200619
9 201316
10 20118

About Daniel Mace

Daniel Mace is a scholar working on Biophysics, Plant Science, Cancer Research, Molecular Biology and Nuclear Energy and Engineering, having authored 10 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Plant Molecular Biology Research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Plant Stress Responses and Tolerance (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Plant Science (1.2k citations), Biophysics (43 citations), Molecular Biology (327 citations), Cancer Research (63 citations) and Aging (3 citations). Daniel Mace has collaborated with scholars based in United States. Frequent co-authors include Philip N. Benfey, Jean Y. Wang, Siobhán M. Brady, José R. Dinneny, Uwe Ohler, Ji‐Young Lee, David A. Orlando, Jee W. Jung, Terri A. Long and John Schiefelbein. Their work appears in journals such as Bioinformatics, Science, Nature Methods, Nature and Cancer Research.

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.

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