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.
Transgenerational Epigenetic Instability Is a Source of Novel Methylation Variants
2011479 citationsRobert J. Schmitz, Matthew D. Schultz et al.Scienceprofile →
Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain
2015475 citationsAlisa Mo, Eran A. Mukamel et al.Neuronprofile →
Human body epigenome maps reveal noncanonical DNA methylation variation
2015424 citationsMatthew D. Schultz, Yupeng He et al.Natureprofile →
Processing and Subcellular Trafficking of ER-Tethered EIN2 Control Response to Ethylene Gas
2012409 citationsHong Qiao, Zhouxin Shen et al.Scienceprofile →
Patterns of population epigenomic diversity
2013407 citationsRobert J. Schmitz, Matthew D. Schultz et al.Natureprofile →
Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis
2013334 citationsKatherine Noelani Chang, Shan Zhong et al.eLifeprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of Mark A. Urich'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 Mark A. Urich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Urich more than expected).
This network shows the impact of papers produced by Mark A. Urich. 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 Mark A. Urich. The network helps show where Mark A. Urich may publish in the future.
Co-authorship network of co-authors of Mark A. Urich
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Urich.
A scholar is included among the top collaborators of Mark A. Urich 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 Mark A. Urich. Mark A. Urich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lewsey, Mathew G., Thomas J. Hardcastle, Charles W. Melnyk, et al.. (2016). Mobile small RNAs regulate genome-wide DNA methylation. Proceedings of the National Academy of Sciences. 113(6). E801–10.166 indexed citations
Schultz, Matthew D., Yupeng He, John W. Whitaker, et al.. (2015). Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523(7559). 212–216.424 indexed citations breakdown →
6.
Mo, Alisa, Eran A. Mukamel, Fred P. Davis, et al.. (2015). Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain. Neuron. 86(6). 1369–1384.475 indexed citations breakdown →
Schmitz, Robert J., Matthew D. Schultz, Mark A. Urich, et al.. (2013). Patterns of population epigenomic diversity. Nature. 495(7440). 193–198.407 indexed citations breakdown →
Chang, Katherine Noelani, Shan Zhong, Matthew T. Weirauch, et al.. (2013). Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis. eLife. 2. e00675–e00675.334 indexed citations breakdown →
12.
Qiao, Hong, Zhouxin Shen, Shao‐shan Carol Huang, et al.. (2012). Processing and Subcellular Trafficking of ER-Tethered EIN2 Control Response to Ethylene Gas. Science. 338(6105). 390–393.409 indexed citations breakdown →
13.
Schmitz, Robert J., Matthew D. Schultz, Mathew G. Lewsey, et al.. (2011). Transgenerational Epigenetic Instability Is a Source of Novel Methylation Variants. Science. 334(6054). 369–373.479 indexed citations breakdown →
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.