Teruko Oosumi

3.8k total citations · 2 hit papers
17 papers, 3.0k citations indexed

About

Teruko Oosumi is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Teruko Oosumi has authored 17 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 11 papers in Molecular Biology and 1 paper in Biotechnology. Recurrent topics in Teruko Oosumi's work include Chromosomal and Genetic Variations (6 papers), Plant responses to water stress (5 papers) and Plant tissue culture and regeneration (5 papers). Teruko Oosumi is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), Plant responses to water stress (5 papers) and Plant tissue culture and regeneration (5 papers). Teruko Oosumi collaborates with scholars based in United States, Germany and Japan. Teruko Oosumi's co-authors include Robert F. Whittier, Norihiro Mitsukawa, Yao‐Guang Liu, Ryusuke Yokoyama, Yoshibumi Komeda, Keiko U. Torii, Yoshiyuki Matsuura, Seung Cho Lee, Julia Bailey‐Serres and Angelika Mustroph and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Teruko Oosumi

17 papers receiving 2.9k citations

Hit Papers

Efficient isolation and mapping of Arabidopsis thaliana T... 1995 2026 2005 2015 1995 1996 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teruko Oosumi United States 13 2.6k 1.9k 166 149 130 17 3.0k
Norihiro Mitsukawa Japan 17 2.4k 0.9× 2.0k 1.0× 207 1.2× 59 0.4× 172 1.3× 25 2.9k
Daniel G. Zarka United States 14 3.6k 1.4× 2.4k 1.3× 209 1.3× 109 0.7× 63 0.5× 20 4.0k
Yoshiharu Y. Yamamoto Japan 34 3.5k 1.4× 2.7k 1.4× 106 0.6× 85 0.6× 106 0.8× 75 4.3k
Jacqueline E. Heard United States 10 3.4k 1.3× 2.5k 1.3× 171 1.0× 57 0.4× 89 0.7× 10 3.9k
Sergei A. Filichkin United States 21 1.7k 0.7× 1.8k 0.9× 133 0.8× 59 0.4× 93 0.7× 33 2.4k
Patrick E. Canlas United States 25 3.3k 1.3× 1.1k 0.6× 280 1.7× 154 1.0× 82 0.6× 33 3.7k
Carole L. Bassett United States 26 1.9k 0.8× 1.3k 0.7× 140 0.8× 84 0.6× 84 0.6× 80 2.4k
Márcio C. Silva-Filho Brazil 34 1.8k 0.7× 1.8k 0.9× 82 0.5× 89 0.6× 162 1.2× 78 2.8k
Takeshi Urao Japan 23 4.8k 1.9× 3.4k 1.8× 116 0.7× 44 0.3× 126 1.0× 33 5.5k
Gabino Ríos Spain 26 2.3k 0.9× 2.1k 1.1× 76 0.5× 37 0.2× 88 0.7× 50 3.1k

Countries citing papers authored by Teruko Oosumi

Since Specialization
Citations

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

Fields of papers citing papers by Teruko Oosumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teruko Oosumi. 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 Teruko Oosumi. The network helps show where Teruko Oosumi may publish in the future.

Co-authorship network of co-authors of Teruko Oosumi

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

All Works

17 of 17 papers shown
1.
Giuntoli, Beatrice, Seung Cho Lee, Francesco Licausi, et al.. (2014). A Trihelix DNA Binding Protein Counterbalances Hypoxia-Responsive Transcriptional Activation in Arabidopsis. PLoS Biology. 12(9). e1001950–e1001950. 87 indexed citations
2.
Song, Luhua, Nobuhiro Suzuki, Elena Shulaev, et al.. (2013). Linking genes of unknown function with abiotic stress responses by high‐throughput phenotype screening. Physiologia Plantarum. 148(3). 322–333. 92 indexed citations
3.
Veilleux, Richard E., Sarah H. Holt, Nan Lu, et al.. (2012). Transposon tagging in diploid strawberry. Plant Biotechnology Journal. 10(8). 985–994. 11 indexed citations
4.
Veilleux, Richard E., Teruko Oosumi, Phillip A. Wadl, et al.. (2012). INSERTIONAL MUTAGENESIS IN THE DIPLOID STRAWBERRY (FRAGARIA VESCA). Acta Horticulturae. 49–54. 1 indexed citations
5.
Lee, Seung Cho, Angelika Mustroph, Rashmi Sasidharan, et al.. (2011). Molecular characterization of the submergence response of the Arabidopsis thaliana ecotype Columbia. New Phytologist. 190(2). 457–471. 166 indexed citations
7.
Mustroph, Angelika, Seung Cho Lee, Teruko Oosumi, et al.. (2010). Cross-Kingdom Comparison of Transcriptomic Adjustments to Low-Oxygen Stress Highlights Conserved and Plant-Specific Responses. PLANT PHYSIOLOGY. 152(3). 1484–1500. 288 indexed citations
8.
Oosumi, Teruko, David R. Rockhold, M. Malendia Maccree, et al.. (2009). Gene Rpi-bt1 from Solanum bulbocastanum Confers Resistance to Late Blight in Transgenic Potatoes. American Journal of Potato Research. 86(6). 456–465. 43 indexed citations
9.
Oosumi, Teruko, Hope A. Gruszewski, Phillip A. Wadl, et al.. (2005). High-efficiency transformation of the diploid strawberry (Fragaria vesca) for functional genomics. Planta. 223(6). 1219–1230. 98 indexed citations
10.
Oosumi, Teruko & William R. Belknap. (1997). Characterization of the Sol3 family of nonautonomous transposable elements in tomato and potato. Journal of Molecular Evolution. 45(2). 137–144. 7 indexed citations
11.
Oosumi, Teruko, et al.. (1996). Identification of putative nonautonomous transposable elements associated with several transposon families inCaenorhabditis elegans. Journal of Molecular Evolution. 43(1). 11–18. 42 indexed citations
12.
Torii, Keiko U., Norihiro Mitsukawa, Teruko Oosumi, et al.. (1996). The Arabidopsis ERECTA Gene Encodes a Putative Receptor Protein Kinase with Extracellular Leucine-Rich Repeats. The Plant Cell. 8(4). 735–735. 174 indexed citations
13.
Torii, Keiko U., Norihiro Mitsukawa, Teruko Oosumi, et al.. (1996). The Arabidopsis ERECTA gene encodes a putative receptor protein kinase with extracellular leucine-rich repeats.. The Plant Cell. 8(4). 735–746. 580 indexed citations breakdown →
14.
Garbarino, Joan E., Teruko Oosumi, & W. R. Belknap. (1995). Isolation of a Polyubiquitin Promoter and Its Expression in Transgenic Potato Plants. PLANT PHYSIOLOGY. 109(4). 1371–1378. 94 indexed citations
15.
Liu, Yao‐Guang, Norihiro Mitsukawa, Teruko Oosumi, & Robert F. Whittier. (1995). Efficient isolation and mapping of Arabidopsis thaliana T‐DNA insert junctions by thermal asymmetric interlaced PCR. The Plant Journal. 8(3). 457–463. 1243 indexed citations breakdown →
16.
Oosumi, Teruko, et al.. (1995). Identification and characterization of putative transposable DNA elements in solanaceous plants and Caenorhabditis elegans.. Proceedings of the National Academy of Sciences. 92(19). 8886–8890. 37 indexed citations
17.
Oosumi, Teruko, Atsushi Miyazaki, Hirofumi Uchimiya, Fumio Kikuchi, & Masao Yokoo. (1989). Analysis of glucose phosphate isomerase in near-isogenic lines, and cultivars of rice (Oryza sativa L.). Journal of Plant Research. 102(2). 283–289. 7 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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