Ronald J. Newton

3.0k total citations
62 papers, 2.3k citations indexed

About

Ronald J. Newton is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Ronald J. Newton has authored 62 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 36 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Ronald J. Newton's work include Plant tissue culture and regeneration (25 papers), Plant Stress Responses and Tolerance (15 papers) and Seed Germination and Physiology (14 papers). Ronald J. Newton is often cited by papers focused on Plant tissue culture and regeneration (25 papers), Plant Stress Responses and Tolerance (15 papers) and Seed Germination and Physiology (14 papers). Ronald J. Newton collaborates with scholars based in United States, China and Finland. Ronald J. Newton's co-authors include Wei Tang, Pramod Gupta, Shri Mohan Jain, Jeffrey D. Puryear, H. James Price, J. Spencer Johnston, Thomas M. Charles, Jonathan N. Egilla, José Antônio Saraiva Grossi and Fred T. Davies and has published in prestigious journals such as Journal of Applied Physics, PLANT PHYSIOLOGY and Environmental Pollution.

In The Last Decade

Ronald J. Newton

62 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald J. Newton United States 23 1.7k 1.3k 178 146 132 62 2.3k
Shimon Gepstein Israel 30 2.8k 1.7× 2.1k 1.6× 185 1.0× 202 1.4× 125 0.9× 60 3.7k
Yajun Wu United States 26 3.2k 1.9× 1.5k 1.2× 108 0.6× 108 0.7× 148 1.1× 53 3.7k
A. E. Ashford Australia 30 1.7k 1.0× 764 0.6× 454 2.6× 81 0.6× 34 0.3× 80 2.3k
Francesco Carimi Italy 31 2.1k 1.3× 1.3k 1.0× 289 1.6× 118 0.8× 129 1.0× 119 2.7k
D. J. Durzan United States 24 1.7k 1.0× 1.7k 1.3× 322 1.8× 121 0.8× 37 0.3× 79 2.3k
Pedro Carrasco Spain 24 2.4k 1.4× 1.6k 1.2× 207 1.2× 77 0.5× 54 0.4× 78 2.9k
Gary Gardner United States 23 1.2k 0.7× 988 0.8× 163 0.9× 22 0.2× 62 0.5× 53 1.7k
Maris P. Apse United States 9 3.3k 2.0× 1.2k 0.9× 80 0.4× 42 0.3× 50 0.4× 10 3.6k
Robert L. Geneve United States 24 3.1k 1.9× 1.8k 1.4× 459 2.6× 72 0.5× 37 0.3× 123 3.6k
Rubens Onofre Nodari Brazil 31 2.6k 1.5× 1.1k 0.8× 743 4.2× 101 0.7× 473 3.6× 200 3.7k

Countries citing papers authored by Ronald J. Newton

Since Specialization
Citations

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

Fields of papers citing papers by Ronald J. Newton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald J. Newton

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

All Works

20 of 20 papers shown
2.
Tang, Wei, Ronald J. Newton, & Thomas M. Charles. (2005). High efficiency inducible gene expression system based on activation of a chimeric transcription factor in transgenic pine. Plant Cell Reports. 24(10). 619–628. 4 indexed citations
3.
Tang, Wei, Ronald J. Newton, & Douglas A. Weidner. (2005). Differential gene silencing induced by short interfering RNA in cultured pine cells associates with the cell cycle phase. Planta. 224(1). 53–60. 1 indexed citations
4.
Tang, Wei & Ronald J. Newton. (2005). Peroxidase and catalase activities are involved in direct adventitious shoot formation induced by thidiazuron in eastern white pine (Pinus strobus L.) zygotic embryos. Plant Physiology and Biochemistry. 43(8). 760–769. 69 indexed citations
5.
Tang, Wei & Ronald J. Newton. (2005). Polyamines reduce salt-induced oxidative damage by increasing the activities of antioxidant enzymes and decreasing lipid peroxidation in Virginia pine. Plant Growth Regulation. 46(1). 31–43. 144 indexed citations
6.
Tang, Wei & Ronald J. Newton. (2005). Polyamines promote root elongation and growth by increasing root cell division in regenerated Virginia pine (Pinus virginiana Mill.) plantlets. Plant Cell Reports. 24(10). 581–589. 61 indexed citations
8.
Tang, Wei & Ronald J. Newton. (2005). Plant regeneration from callus cultures derived from mature zygotic embryos in white pine (Pinus strobus L.). Plant Cell Reports. 24(1). 1–9. 36 indexed citations
9.
Tang, Wei, et al.. (2005). Inducible Antisense-mediated Post-transcriptional Gene Silencing in Transgenic Pine Cells Using Green Fluorescent Protein as a Visual Marker. Plant and Cell Physiology. 46(8). 1255–1263. 4 indexed citations
10.
Tang, Wei & Ronald J. Newton. (2004). Increase of polyphenol oxidase and decrease of polyamines correlate with tissue browning in Virginia pine (Pinus virginiana Mill.). Plant Science. 167(3). 621–628. 91 indexed citations
11.
Tang, Wei, et al.. (2004). The Effect of Different Plant Growth Regulators on Adventitious Shoot Formation from Virginia Pine (Pinus virginiana) Zygotic Embryo Explants. Plant Cell Tissue and Organ Culture (PCTOC). 78(3). 237–240. 13 indexed citations
12.
Xie, Changan, Yong-qing Li, Wei Tang, & Ronald J. Newton. (2003). Study of dynamical process of heat denaturation in optically trapped single microorganisms by near-infrared Raman spectroscopy. Journal of Applied Physics. 94(9). 6138–6142. 84 indexed citations
13.
Tang, Wei, et al.. (2003). Influences of antibiotics on plantlet regeneration via organogenesis in loblolly pine (Pinus taeda L.). Journal of Forestry Research. 14(3). 185–190. 5 indexed citations
14.
Newton, Ronald J., et al.. (2001). Stable genetic transformation of conifers. Phytomorphology Phytomorphology An International Journal of Plant Sciences. 51. 421–434. 4 indexed citations
15.
Heilman, J. L., et al.. (1999). Diurnal changes in water conduction in loblolly pine (Pinus taeda) and Virginia pine (P. virginiana) during soil dehydration. Tree Physiology. 19(9). 575–581. 5 indexed citations
16.
Magill, Clint, et al.. (1998). An apparent case of nonsymmetrical and sustained strand-specific hemimethylation in theDc8gene of carrot. Genome. 41(1). 23–33. 13 indexed citations
17.
Funkhouser, Edward, et al.. (1996). Cloning of a cDNA for a chitinase homologue which lacks chitin-binding sites and is down-regulated by water stress and wounding. Plant Molecular Biology. 31(3). 693–699. 16 indexed citations
18.
Jain, Shalini, Pramod Gupta, & Ronald J. Newton. (1995). History, molecular and biochemical aspects, and applications. Kluwer Academic eBooks. 4 indexed citations
19.
Wiselogel, A. E., et al.. (1991). Growth response of loblolly pine (Pinus taeda L.) seedlings to ozone fumigation. Environmental Pollution. 71(1). 43–56. 8 indexed citations
20.
Bhaskaran, Shyamala, Roberta H. Smith, & Ronald J. Newton. (1985). Physiological Changes in Cultured Sorghum Cells in Response to Induced Water Stress. PLANT PHYSIOLOGY. 79(1). 266–269. 64 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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