Nathan T. Reem

803 total citations · 1 hit paper
10 papers, 532 citations indexed

About

Nathan T. Reem is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Nathan T. Reem has authored 10 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Nathan T. Reem's work include Polysaccharides and Plant Cell Walls (4 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). Nathan T. Reem is often cited by papers focused on Polysaccharides and Plant Cell Walls (4 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). Nathan T. Reem collaborates with scholars based in United States and Italy. Nathan T. Reem's co-authors include Joyce Van Eck, Sebastian Soyk, Zachary B. Lippman, Justin Dalrymple, Daniel Rodríguez-Leal, Kerry Swartwood, Zachary H. Lemmon, Olga A. Zabotina, Vincenzo Lionetti and Daniela Bellincampi and has published in prestigious journals such as PLoS ONE, The Plant Cell and Frontiers in Plant Science.

In The Last Decade

Nathan T. Reem

10 papers receiving 521 citations

Hit Papers

Rapid improvement of dome... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan T. Reem United States 9 441 294 92 50 44 10 532
Simona Urso Italy 10 502 1.1× 205 0.7× 129 1.4× 55 1.1× 22 0.5× 13 576
Stefano Gattolin Italy 15 549 1.2× 369 1.3× 40 0.4× 58 1.2× 34 0.8× 26 710
Tong Geon Lee United States 13 918 2.1× 251 0.9× 136 1.5× 65 1.3× 32 0.7× 33 991
Seungill Kim South Korea 15 735 1.7× 286 1.0× 103 1.1× 37 0.7× 30 0.7× 29 823
Shashank K. Pandey South Korea 13 666 1.5× 326 1.1× 32 0.3× 51 1.0× 20 0.5× 21 744
Remo Chiozzotto Italy 11 418 0.9× 204 0.7× 50 0.5× 32 0.6× 15 0.3× 27 481
N. Kumaravadivel India 7 565 1.3× 120 0.4× 147 1.6× 46 0.9× 23 0.5× 39 637
Jingbin Jiang China 19 671 1.5× 282 1.0× 48 0.5× 110 2.2× 37 0.8× 52 755
Gihwan Yi South Korea 17 1.0k 2.3× 558 1.9× 211 2.3× 71 1.4× 32 0.7× 46 1.1k
Quan Xu China 16 674 1.5× 219 0.7× 227 2.5× 71 1.4× 15 0.3× 35 732

Countries citing papers authored by Nathan T. Reem

Since Specialization
Citations

This map shows the geographic impact of Nathan T. Reem'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 Nathan T. Reem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan T. Reem more than expected).

Fields of papers citing papers by Nathan T. Reem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan T. Reem. 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 Nathan T. Reem. The network helps show where Nathan T. Reem may publish in the future.

Co-authorship network of co-authors of Nathan T. Reem

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

All Works

10 of 10 papers shown
1.
He, Jia, Michael Alonge, Srividya Ramakrishnan, et al.. (2022). Establishing Physalis as a Solanaceae model system enables genetic reevaluation of the inflated calyx syndrome. The Plant Cell. 35(1). 351–368. 17 indexed citations
3.
Reem, Nathan T., Ning Zhang, Yintong Chen, et al.. (2020). Post-Synthetic Reduction of Pectin Methylesterification Causes Morphological Abnormalities and Alterations to Stress Response in Arabidopsis thaliana. Plants. 9(11). 1558–1558. 13 indexed citations
4.
Reem, Nathan T. & Joyce Van Eck. (2019). Application of CRISPR/Cas9-Mediated Gene Editing in Tomato. Methods in molecular biology. 1917. 171–182. 20 indexed citations
5.
Giancaspro, Angelica, Vincenzo Lionetti, Stefania Lucia Giove, et al.. (2018). Cell wall features transferred from common into durum wheat to improve Fusarium Head Blight resistance. Plant Science. 274. 121–128. 23 indexed citations
6.
Lemmon, Zachary H., Nathan T. Reem, Justin Dalrymple, et al.. (2018). Rapid improvement of domestication traits in an orphan crop by genome editing. Nature Plants. 4(10). 766–770. 339 indexed citations breakdown →
7.
Reem, Nathan T., Han‐Yi Chen, Manhoi Hur, et al.. (2018). Comprehensive transcriptome analyses correlated with untargeted metabolome reveal differentially expressed pathways in response to cell wall alterations. Plant Molecular Biology. 96(4-5). 509–529. 8 indexed citations
9.
Reem, Nathan T., Gennady Pogorelko, Vincenzo Lionetti, et al.. (2016). Decreased Polysaccharide Feruloylation Compromises Plant Cell Wall Integrity and Increases Susceptibility to Necrotrophic Fungal Pathogens. Frontiers in Plant Science. 7. 630–630. 37 indexed citations
10.
Lionetti, Vincenzo, Angelica Giancaspro, Stefania Lucia Giove, et al.. (2015). Cell wall traits as potential resources to improve resistance of durum wheat against Fusarium graminearum. BMC Plant Biology. 15(1). 6–6. 63 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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