Sayaka Kitamura

1.2k total citations · 1 hit paper
8 papers, 928 citations indexed

About

Sayaka Kitamura is a scholar working on Molecular Biology, Plant Science and Virology. According to data from OpenAlex, Sayaka Kitamura has authored 8 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Plant Science and 1 paper in Virology. Recurrent topics in Sayaka Kitamura's work include Plant Stress Responses and Tolerance (2 papers), Plant Molecular Biology Research (2 papers) and Plant nutrient uptake and metabolism (2 papers). Sayaka Kitamura is often cited by papers focused on Plant Stress Responses and Tolerance (2 papers), Plant Molecular Biology Research (2 papers) and Plant nutrient uptake and metabolism (2 papers). Sayaka Kitamura collaborates with scholars based in Japan and Canada. Sayaka Kitamura's co-authors include Kazutoshi Yamagishi, Yuji Kamiya, Eiji Nambara, Tadao Asami, Kazumi Nakabayashi, Masanori Okamoto, Tomokazu Koshiba, Tetsuo Kushiro, Nobuhiro Hirai and Masaru Tomita and has published in prestigious journals such as The EMBO Journal, Biochemical Journal and Plant and Cell Physiology.

In The Last Decade

Sayaka Kitamura

8 papers receiving 909 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Arabidopsis cytochrome P450 CYP707A encodes ABA 8′‐hydroxylases: key enzymes in ABA catabolism

2004 784 citations Tetsuo Kushiro, Masanori Okamoto et al. The EMBO Journal profile →

Peers

Sayaka Kitamura

PS

MB

EEBS

SPECT

PHYSI

Yueh‐Ju Hou United States

Lenka Plačková Czechia

Valérie Cotelle France

Siân Ritchie United States

Régis Maldiney France

Anna Kulik Poland

Volodymyr Kravets Ukraine

H. Van Onckelen Belgium

Marc Galland France

Rosa López-Cobollo United Kingdom

Yueh‐Ju Hou United States

Sayaka Kitamura

1.4k ×1.9

PS

771 ×1.6

MB

25 ×0.9

EEBS

17 ×0.7

SPECT

14 ×0.7

PHYSI

Citations per year, relative to Sayaka Kitamura Sayaka Kitamura (= 1×) peers Yueh‐Ju Hou

Countries citing papers authored by Sayaka Kitamura

Since Specialization

Citations

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

Fields of papers citing papers by Sayaka Kitamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayaka Kitamura

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Okamoto, Hisashi, et al.. (2022). Activation of the root xylem proton pump by hydraulic signals from leaves under suppressed transpiration. Journal of Plant Research. 135(2). 311–322. 4 indexed citations

2.

Miyoshi, Masahiro, Rika Komagome, Hideki Nagano, et al.. (2012). An Isolated Incidence of Rubella Outbreak at a Workplace in Hokkaido, Japan. Japanese Journal of Infectious Diseases. 65(1). 94–97. 2 indexed citations

3.

Kitamura, Sayaka, Kosuke Fujishima, Asako Sato, et al.. (2010). Characterization of RNase HII substrate recognition using RNase HII–argonaute chimaeric enzymes from Pyrococcus furiosus. Biochemical Journal. 426(3). 337–344. 8 indexed citations

4.

Yamagishi, Kazutoshi, Kiyoshi Tatematsu, Ryoichi Yano, et al.. (2008). CHOTTO1, a Double AP2 Domain Protein of Arabidopsis thaliana, Regulates Germination and Seedling Growth Under Excess Supply of Glucose and Nitrate. Plant and Cell Physiology. 50(2). 330–340. 51 indexed citations

5.

Hatano, Ryusuke, et al.. (2007). Greenhouse Gas Budget in a Larch Forest with Low Atmospheric N Deposition in Hokkaido, Northern Japan. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 10(1). 71–77. 3 indexed citations

6.

Fujishima, Kosuke, et al.. (2007). Proteome-Wide Prediction of Novel DNA/RNA-Binding Proteins Using Amino Acid Composition and Periodicity in the Hyperthermophilic Archaeon Pyrococcus furiosus. DNA Research. 14(3). 91–102. 16 indexed citations

7.

Saito, Natsumi, Martin Robert, Sayaka Kitamura, et al.. (2006). Metabolomics Approach for Enzyme Discovery. Journal of Proteome Research. 5(8). 1979–1987. 60 indexed citations

8.

Kushiro, Tetsuo, Masanori Okamoto, Kazumi Nakabayashi, et al.. (2004). The Arabidopsis cytochrome P450 CYP707A encodes ABA 8′‐hydroxylases: key enzymes in ABA catabolism. The EMBO Journal. 23(7). 1647–1656. 784 indexed citations breakdown →

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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