Dean E. Cress

1.1k total citations
22 papers, 832 citations indexed

About

Dean E. Cress is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dean E. Cress has authored 22 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dean E. Cress's work include Chromosomal and Genetic Variations (5 papers), Plant tissue culture and regeneration (5 papers) and Plant Disease Resistance and Genetics (4 papers). Dean E. Cress is often cited by papers focused on Chromosomal and Genetic Variations (5 papers), Plant tissue culture and regeneration (5 papers) and Plant Disease Resistance and Genetics (4 papers). Dean E. Cress collaborates with scholars based in United States, Philippines and Germany. Dean E. Cress's co-authors include Robert A. Owens, Lowell D. Owens, Michael Kiefer, Tarlochan S. Dhadialla, Subba Reddy Palli, Marianna Kapitskaya, Alexander S. Raikhel, William M. Grady, Malla Padidam and Andrés Rojas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Biomaterials.

In The Last Decade

Dean E. Cress

22 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean E. Cress United States 16 477 350 219 150 137 22 832
Junji Hashimoto Japan 25 1.2k 2.5× 1.1k 3.1× 32 0.1× 74 0.5× 35 0.3× 67 1.7k
Mark A. Horn United States 12 506 1.1× 408 1.2× 46 0.2× 53 0.4× 46 0.3× 13 771
Donald Morisato United States 13 1.2k 2.5× 196 0.6× 226 1.0× 587 3.9× 161 1.2× 13 1.8k
Pablo de Felipe United Kingdom 17 966 2.0× 143 0.4× 53 0.2× 416 2.8× 31 0.2× 27 1.4k
Liande Li United States 19 1.3k 2.6× 598 1.7× 109 0.5× 76 0.5× 58 0.4× 22 1.6k
Tobin J. Cammett United States 5 440 0.9× 113 0.3× 46 0.2× 100 0.7× 33 0.2× 6 765
Joseph J. Belanto United States 12 2.2k 4.5× 515 1.5× 72 0.3× 268 1.8× 156 1.1× 14 2.3k
G. Turner United States 11 1.1k 2.3× 610 1.7× 34 0.2× 56 0.4× 41 0.3× 15 1.4k
Karen L. LaMarco United States 10 715 1.5× 89 0.3× 39 0.2× 255 1.7× 10 0.1× 13 1.1k
Jun Duan China 16 854 1.8× 192 0.5× 284 1.3× 287 1.9× 519 3.8× 48 1.4k

Countries citing papers authored by Dean E. Cress

Since Specialization
Citations

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

Fields of papers citing papers by Dean E. Cress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean E. Cress. 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 Dean E. Cress. The network helps show where Dean E. Cress may publish in the future.

Co-authorship network of co-authors of Dean E. Cress

This figure shows the co-authorship network connecting the top 25 collaborators of Dean E. Cress. A scholar is included among the top collaborators of Dean E. Cress 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 Dean E. Cress. Dean E. Cress 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
1.
Boulis, Nicholas M., Chalonda R. Handy, Thais Federici, et al.. (2012). Regulated Neuronal Neuromodulation via Spinal Cord Expression of the Gene for the Inwardly Rectifying Potassium Channel 2.1 (Kir2.1). Neurosurgery. 72(4). 653–661. 5 indexed citations
2.
Baraniak, Priya R., D. Nelson, Anand Kumar Katakam, et al.. (2011). Spatial control of gene expression within a scaffold by localized inducer release. Biomaterials. 32(11). 3062–3071. 13 indexed citations
3.
Gayer, Christopher P., et al.. (2010). ERK regulates strain‐induced migration and proliferation from different subcellular locations. Journal of Cellular Biochemistry. 109(4). 711–725. 18 indexed citations
4.
Rojas, Andrés, Malla Padidam, Dean E. Cress, & William M. Grady. (2009). TGF-β receptor levels regulate the specificity of signaling pathway activation and biological effects of TGF-β. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(7). 1165–1173. 86 indexed citations
5.
Cress, Dean E.. (2007). The need for regulatable vectors for gene therapy for Parkinson's disease. Experimental Neurology. 209(1). 30–33. 18 indexed citations
6.
Cress, Dean E., et al.. (2006). The RheoSwitch system for inducible up- and down-regulation of gene expression. 66. 27–27. 1 indexed citations
7.
Palli, Subba Reddy, et al.. (2003). Improved ecdysone receptor‐based inducible gene regulation system. European Journal of Biochemistry. 270(6). 1308–1315. 72 indexed citations
8.
Kothapalli, Ravi, Subba Reddy Palli, Tim R. Ladd, et al.. (1995). Cloning and developmental expression of the ecdysone receptor gene from the spruce budworm, choristoneura fumiferana. Developmental Genetics. 17(4). 319–330. 74 indexed citations
9.
Cooke, Todd J., et al.. (1988). Genetic analysis of somatic embryogenesis in carrot cell culture: Initial characterization of six classes of temperature‐sensitive variants. Developmental Genetics. 9(1). 49–67. 20 indexed citations
10.
Owens, Robert A., Rosemarie W. Hammond, Richard C. Gardner, et al.. (1986). Site-specific mutagenesis of potato spindle tuber viroid cDNA:. Plant Molecular Biology. 6(3). 179–192. 52 indexed citations
11.
Owens, Lowell D. & Dean E. Cress. (1985). Genotypic Variability of Soybean Response to Agrobacterium Strains Harboring the Ti or Ri Plasmids. PLANT PHYSIOLOGY. 77(1). 87–94. 97 indexed citations
12.
Cress, Dean E.. (1982). Uptake of Plasmid DNA by Protoplasts from Synchronized Soybean Cell Suspension Cultures. Zeitschrift für Pflanzenphysiologie. 105(5). 467–470. 2 indexed citations
13.
Matthews, Benjamin F. & Dean E. Cress. (1981). Liposome-mediated delivery of DNA to carrot protoplasts. Planta. 153(1). 90–94. 20 indexed citations
14.
Hadidi, A., Dean E. Cress, & T.O. Diener. (1981). Nuclear DNA from uninfected or potato spindle tuber viroid-infected tomato plants contains no detectable sequences complementary to cloned double-stranded viroid cDNA.. Proceedings of the National Academy of Sciences. 78(11). 6932–6935. 19 indexed citations
15.
Cress, Dean E.. (1980). Uptake of plasmid DNA by protoplasts from synchronized soybean cell cultures. PLANT PHYSIOLOGY. 65. 92. 1 indexed citations
16.
Owens, Robert A. & Dean E. Cress. (1980). Molecular cloning and characterization of potato spindle tuber viroid cDNA sequences. Proceedings of the National Academy of Sciences. 77(9). 5302–5306. 30 indexed citations
17.
Cress, Dean E., et al.. (1979). Variants of Soybean Cells Which Can Grow in Suspension with Maltose as a Carbon-Energy Source. PLANT PHYSIOLOGY. 63(4). 718–721. 15 indexed citations
18.
19.
Cress, Dean E. & B C Kline. (1976). Isolation and characterization of Escherichia coli chromosomal mutants affecting plasmid copy number. Journal of Bacteriology. 125(2). 635–642. 30 indexed citations
20.
Kline, B C, et al.. (1976). Nonintegrated plasmid-chromosome complexes in Escherichia coli. Journal of Bacteriology. 127(2). 881–889. 25 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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