Daniel Mace

11 papers and 2.0k indexed citations i.

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 Plant Molecular Biology Research (3 papers), Cell Image Analysis Techniques (3 papers) and Single-cell and spatial transcriptomics (3 papers). Daniel Mace is often cited by papers focused on Plant Molecular Biology Research (3 papers), Cell Image Analysis Techniques (3 papers) and Single-cell and spatial transcriptomics (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, José R. Dinneny, Siobhán M. Brady, Uwe Ohler, Ji‐Young Lee, David A. Orlando, Jee Jung, John Schiefelbein and Terri A. Long and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Daniel Mace i

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.

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).

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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