Daniel Mace

2.7k total citations · 2 hit papers
11 papers, 2.0k citations indexed

About

Daniel Mace is a scholar working on Molecular Biology, Plant Science and Biophysics. According to data from OpenAlex, Daniel Mace has authored 11 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Biophysics. Recurrent topics in Daniel Mace's work include Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (3 papers) and Cell Image Analysis Techniques (3 papers). Daniel Mace is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (3 papers) and Cell Image Analysis Techniques (3 papers). Daniel Mace collaborates with scholars based in United States and Slovakia. Daniel Mace's co-authors include Philip N. Benfey, Jean Y. Wang, Siobhán M. Brady, José R. Dinneny, Uwe Ohler, Ji‐Young Lee, David A. Orlando, Jee Jung, Terri A. Long and John Schiefelbein and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel Mace

11 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns

2007 897 citations Siobhán M. Brady, David A. Orlando et al. Science profile →
Cell Identity Mediates the Response of Arabidopsis Roots to Abiotic Stress

2008 554 citations José R. Dinneny, Terri A. Long et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Mace United States	9	1.5k	1.3k	118	85	71	11	2.0k
Dietmar E. Martin Germany	22	261 0.2×	1.7k 1.4×	98 0.8×	105 1.2×	39 0.5×	28	2.1k
Tomer Meir Salame Israel	18	324 0.2×	1.2k 0.9×	159 1.3×	83 1.0×	158 2.2×	26	1.7k
Peipei Zhu China	14	581 0.4×	750 0.6×	45 0.4×	105 1.2×	31 0.4×	42	1.3k
Kiana Toufighi United States	7	506 0.3×	937 0.7×	20 0.2×	119 1.4×	21 0.3×	7	1.2k
Zoe Hilioti Greece	17	300 0.2×	827 0.7×	26 0.2×	56 0.7×	108 1.5×	27	1.2k
Akira Endo Japan	26	2.9k 1.9×	2.2k 1.7×	44 0.4×	159 1.9×	40 0.6×	42	3.9k
Yumi Kim South Korea	20	1.0k 0.7×	1.6k 1.3×	32 0.3×	111 1.3×	24 0.3×	47	2.1k
Nico Dißmeyer Germany	25	1.2k 0.8×	1.5k 1.2×	64 0.5×	93 1.1×	14 0.2×	45	2.1k
Fang� Yang China	26	1.3k 0.9×	1.2k 1.0×	242 2.1×	442 5.2×	53 0.7×	78	2.2k
Tomohiko Tsuge Japan	32	2.4k 1.5×	3.0k 2.3×	117 1.0×	174 2.0×	39 0.5×	64	3.8k

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-authorship network of co-authors of Daniel Mace

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mace. A scholar is included among the top collaborators of Daniel Mace based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Mace. Daniel Mace is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Araya, Carlos L., Trupti Kawli, Anshul Kundaje, et al.. (2014). Regulatory analysis of the C. elegans genome with spatiotemporal resolution. Nature. 512(7515). 400–405. 82 indexed citations

2.

Mace, Daniel, et al.. (2013). A High-Fidelity Cell Lineage Tracing Method for Obtaining Systematic Spatiotemporal Gene Expression Patterns inCaenorhabditis elegans. G3 Genes Genomes Genetics. 3(5). 851–863. 16 indexed citations

3.

Busch, Wolfgang, Brad T. Moore, Daniel Mace, et al.. (2012). A microfluidic device and computational platform for high-throughput live imaging of gene expression. Nature Methods. 9(11). 1101–1106. 90 indexed citations

4.

Pruteanu-Malinici, Iulian, Daniel Mace, & Uwe Ohler. (2011). Automatic Annotation of Spatial Expression Patterns via Sparse Bayesian Factor Models. PLoS Computational Biology. 7(7). e1002098–e1002098. 7 indexed citations

5.

Mace, Daniel. (2010). Teaching about multicultural food to multicultural students in a multicultural school. Geography. 95(2). 80–87. 1 indexed citations

6.

Mace, Daniel, et al.. (2009). Extraction and comparison of gene expression patterns from 2D RNA in situ hybridization images. Bioinformatics. 26(6). 761–769. 21 indexed citations

7.

Cárdenas-Navia, Laura I., Daniel Mace, Rachel A. Richardson, et al.. (2008). The Pervasive Presence of Fluctuating Oxygenation in Tumors. Cancer Research. 68(14). 5812–5819. 137 indexed citations

8.

Dinneny, José R., Terri A. Long, Jean Y. Wang, et al.. (2008). Cell Identity Mediates the Response of Arabidopsis Roots to Abiotic Stress. Science. 320(5878). 942–945. 554 indexed citations breakdown →

9.

Brady, Siobhán M., David A. Orlando, Ji‐Young Lee, et al.. (2007). A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns. Science. 318(5851). 801–806. 897 indexed citations breakdown →

10.

Lee, Ji‐Young, Juliette Colinas, Jean Y. Wang, et al.. (2006). Transcriptional and posttranscriptional regulation of transcription factor expression in Arabidopsis roots. Proceedings of the National Academy of Sciences. 103(15). 6055–6060. 226 indexed citations

11.

Mace, Daniel, Ji‐Young Lee, Richard W Twigg, et al.. (2006). Quantification of transcription factor expression from Arabidopsis images. Bioinformatics. 22(14). e323–e331. 16 indexed citations

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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