Peter J. Hermanson

1.2k total citations
12 papers, 833 citations indexed

About

Peter J. Hermanson is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Peter J. Hermanson has authored 12 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Peter J. Hermanson's work include Chromosomal and Genetic Variations (7 papers), Plant Molecular Biology Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Peter J. Hermanson is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), Plant Molecular Biology Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Peter J. Hermanson collaborates with scholars based in United States, China and Switzerland. Peter J. Hermanson's co-authors include Nathan M. Springer, Steven R. Eichten, Matthew Vaughn, Qing Li, Shawn M. Kaeppler, Ruth A. Swanson-Wagner, Amanda J. Waters, Jawon Song, Robert M. Stupar and Roman Briskine and has published in prestigious journals such as Nucleic Acids Research, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Peter J. Hermanson

12 papers receiving 814 citations

Peers

Peter J. Hermanson
Jaclyn M Noshay United States
Victor Missirian United States
Inez Terpstra Netherlands
Brian Abernathy United States
Darren J. Morrow United States
Stefan Grob Switzerland
Jean‐Michel Michno United States
Jaclyn M Noshay United States
Peter J. Hermanson
Citations per year, relative to Peter J. Hermanson Peter J. Hermanson (= 1×) peers Jaclyn M Noshay

Countries citing papers authored by Peter J. Hermanson

Since Specialization
Citations

This map shows the geographic impact of Peter J. Hermanson'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 Peter J. Hermanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Hermanson more than expected).

Fields of papers citing papers by Peter J. Hermanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Hermanson. 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 Peter J. Hermanson. The network helps show where Peter J. Hermanson may publish in the future.

Co-authorship network of co-authors of Peter J. Hermanson

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Hermanson. A scholar is included among the top collaborators of Peter J. Hermanson 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 Peter J. Hermanson. Peter J. Hermanson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Zhou, Peng, Peter J. Hermanson, Yi‐Hsuan Chu, et al.. (2023). Mutator transposon insertions within maize genes often provide a novel outward reading promoter. Genetics. 225(3). 4 indexed citations
2.
Xu, Jing, Peter J. Hermanson, Qiang Xu, et al.. (2019). Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize. Genome biology. 20(1). 243–243. 68 indexed citations
3.
Li, Qing, Peter J. Hermanson, & Nathan M. Springer. (2017). Detection of DNA Methylation by Whole-Genome Bisulfite Sequencing. Methods in molecular biology. 1676. 185–196. 32 indexed citations
4.
Li, Qing, Masako Suzuki, Jennifer Wendt, et al.. (2015). Post-conversion targeted capture of modified cytosines in mammalian and plant genomes. Nucleic Acids Research. 43(12). e81–e81. 42 indexed citations
5.
Li, Qing, Steven R. Eichten, Peter J. Hermanson, et al.. (2014). Genetic Perturbation of the Maize Methylome. The Plant Cell. 26(12). 4602–4616. 139 indexed citations
6.
Eichten, Steven R., et al.. (2014). Consistent and Heritable Alterations of DNA Methylation Are Induced by Tissue Culture in Maize. Genetics. 198(1). 209–218. 77 indexed citations
7.
Li, Qing, Steven R. Eichten, Peter J. Hermanson, & Nathan M. Springer. (2013). Inheritance Patterns and Stability of DNA Methylation Variation in Maize Near-Isogenic Lines. Genetics. 196(3). 667–676. 48 indexed citations
8.
Eichten, Steven R., Roman Briskine, Jawon Song, et al.. (2013). Epigenetic and Genetic Influences on DNA Methylation Variation in Maize Populations. The Plant Cell. 25(8). 2783–2797. 186 indexed citations
9.
Eichten, Steven R., Matthew Vaughn, Peter J. Hermanson, & Nathan M. Springer. (2013). Variation in DNA Methylation Patterns is More Common among Maize Inbreds than among Tissues. The Plant Genome. 6(2). 25 indexed citations
10.
Eichten, Steven R., Ruth A. Swanson-Wagner, James C. Schnable, et al.. (2011). Heritable Epigenetic Variation among Maize Inbreds. PLoS Genetics. 7(11). e1002372–e1002372. 115 indexed citations
11.
Stupar, Robert M., Peter J. Hermanson, & Nathan M. Springer. (2007). Nonadditive Expression and Parent-of-Origin Effects Identified by Microarray and Allele-Specific Expression Profiling of Maize Endosperm. PLANT PHYSIOLOGY. 145(2). 411–425. 54 indexed citations
12.
McGinnis, Karen, Nicholas P. Murphy, Michelle D. Carlson, et al.. (2007). Assessing the Efficiency of RNA Interference for Maize Functional Genomics. PLANT PHYSIOLOGY. 143(4). 1441–1451. 43 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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