Yohei Nanjo

2.9k total citations
47 papers, 2.2k citations indexed

About

Yohei Nanjo is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Yohei Nanjo has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 14 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Yohei Nanjo's work include Plant responses to water stress (27 papers), Plant Stress Responses and Tolerance (18 papers) and Soybean genetics and cultivation (16 papers). Yohei Nanjo is often cited by papers focused on Plant responses to water stress (27 papers), Plant Stress Responses and Tolerance (18 papers) and Soybean genetics and cultivation (16 papers). Yohei Nanjo collaborates with scholars based in Japan, France and Iran. Yohei Nanjo's co-authors include Setsuko Komatsu, Kiyoshi Furukawa, Takuji Nakamura, Keito Nishizawa, Ľudovít Škultéty, Katsumi Sakata, Toshiaki Mitsui, Mohammad‐Zaman Nouri, Roya Razavizadeh and Nasrin Motamed and has published in prestigious journals such as The Plant Cell, Molecular Microbiology and Frontiers in Plant Science.

In The Last Decade

Yohei Nanjo

47 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
Yohei Nanjo Japan 24 1.8k 759 122 103 82 47 2.2k
Katharine A. Howell Australia 23 1.9k 1.1× 1.9k 2.5× 123 1.0× 152 1.5× 74 0.9× 28 2.9k
Reena Narsai Australia 35 2.6k 1.5× 2.2k 2.9× 155 1.3× 185 1.8× 40 0.5× 52 3.7k
Gonzalo M. Estavillo Australia 22 2.0k 1.1× 1.9k 2.5× 92 0.8× 156 1.5× 19 0.2× 37 2.8k
Antoine Danon France 17 1.9k 1.1× 1.9k 2.6× 54 0.4× 80 0.8× 25 0.3× 22 2.8k
María Jesús Cañal Spain 31 1.7k 1.0× 1.8k 2.4× 91 0.7× 44 0.4× 64 0.8× 96 2.5k
Tatyana Savchenko Russia 21 1.4k 0.8× 1.0k 1.3× 48 0.4× 88 0.9× 18 0.2× 48 2.0k
Miriam Laxa Germany 17 1.2k 0.7× 1.2k 1.5× 22 0.2× 110 1.1× 40 0.5× 19 2.0k
Chris Carrie Australia 35 2.0k 1.1× 3.2k 4.2× 55 0.5× 288 2.8× 68 0.8× 56 3.8k
Simon Stael Belgium 21 1.4k 0.8× 1.3k 1.7× 24 0.2× 43 0.4× 48 0.6× 43 2.0k
Thomas E. Elthon United States 27 1.4k 0.8× 1.6k 2.1× 45 0.4× 123 1.2× 21 0.3× 39 2.4k

Countries citing papers authored by Yohei Nanjo

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Nanjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Nanjo

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Nanjo. A scholar is included among the top collaborators of Yohei Nanjo 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 Yohei Nanjo. Yohei Nanjo 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.
Komatsu, Setsuko, Xin Wang, Xiaojian Yin, et al.. (2017). Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database. Journal of Proteomics. 163. 52–66. 17 indexed citations
2.
Nanjo, Yohei, et al.. (2014). Analysis of Soybean Root Proteins Affected by Gibberellic Acid Treatment Under Flooding Stress. Protein and Peptide Letters. 21(9). 911–947. 8 indexed citations
3.
Nanjo, Yohei, et al.. (2014). Analyses of flooding tolerance of soybean varieties at emergence and varietal differences in their proteomes. Phytochemistry. 106. 25–36. 23 indexed citations
4.
Yin, Xiaojian, Katsumi Sakata, Yohei Nanjo, & Setsuko Komatsu. (2014). Analysis of initial changes in the proteins of soybean root tip under flooding stress using gel-free and gel-based proteomic techniques. Journal of Proteomics. 106. 1–16. 31 indexed citations
5.
Sakurai, Fuminori, et al.. (2014). Upregulation of RECK gene expression by small double-stranded RNA targeting the promoter region. Cancer Gene Therapy. 21(4). 164–170. 9 indexed citations
6.
Nanjo, Yohei, et al.. (2014). Identification of Nuclear Proteins in Soybean Under Flooding Stress using Proteomic Technique. Protein and Peptide Letters. 21(5). 458–467. 21 indexed citations
7.
Nishizawa, Keito, Susumu Hiraga, Hiroshi Yasue, et al.. (2013). The Synthesis of Cytosolic Ascorbate Peroxidases in Germinating Seeds and Seedlings of Soybean and Their Behavior under Flooding Stress. Bioscience Biotechnology and Biochemistry. 77(11). 2205–2209. 6 indexed citations
8.
Komatsu, Setsuko, Yohei Nanjo, & Minoru Nishimura. (2013). Proteomic analysis of the flooding tolerance mechanism in mutant soybean. Journal of Proteomics. 79. 231–250. 69 indexed citations
9.
Komatsu, Setsuko, et al.. (2012). Comprehensive analysis of endoplasmic reticulum-enriched fraction in root tips of soybean under flooding stress using proteomics techniques. Journal of Proteomics. 77. 531–560. 52 indexed citations
10.
Nanjo, Yohei, Kyonoshin Maruyama, Hiroshi Yasue, et al.. (2011). Transcriptional responses to flooding stress in roots including hypocotyl of soybean seedlings. Plant Molecular Biology. 77(1-2). 129–144. 98 indexed citations
11.
Sobhanian, Hamid, Roya Razavizadeh, Yohei Nanjo, et al.. (2010). Proteome analysis of soybean leaves, hypocotyls and roots under salt stress. Proteome Science. 8(1). 19–19. 174 indexed citations
12.
Nanjo, Yohei, Naoki Mizusawa, Hajime Wada, et al.. (2010). Synthesis of fatty acids de novo is required for photosynthetic acclimation of Synechocystis sp. PCC 6803 to high temperature. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797(8). 1483–1490. 16 indexed citations
13.
Komatsu, Setsuko, et al.. (2010). Comparative proteomics analysis of differentially expressed proteins in soybean cell wall during flooding stress. Amino Acids. 39(5). 1435–1449. 118 indexed citations
14.
Nanjo, Yohei, Mohammad‐Zaman Nouri, & Setsuko Komatsu. (2010). Quantitative proteomic analyses of crop seedlings subjected to stress conditions; a commentary. Phytochemistry. 72(10). 1263–1272. 28 indexed citations
15.
Komatsu, Setsuko, T Sugimoto, Tomoki Hoshino, Yohei Nanjo, & Kiyoshi Furukawa. (2009). Identification of flooding stress responsible cascades in root and hypocotyl of soybean using proteome analysis. Amino Acids. 38(3). 729–738. 50 indexed citations
17.
Asatsuma, Satoru, Yohei Nanjo, K. Itoh, et al.. (2007). Proteomic Characterization of Tissue Expansion of Rice Scutellum Stimulated by Abscisic Acid. Bioscience Biotechnology and Biochemistry. 71(5). 1260–1268. 10 indexed citations
18.
Kojima, Kouji, Masaru Oshita, Yohei Nanjo, et al.. (2007). Oxidation of elongation factor G inhibits the synthesis of the D1 protein of photosystem II. Molecular Microbiology. 65(4). 936–947. 109 indexed citations
19.
Nanjo, Yohei, Satoru Asatsuma, K. Itoh, et al.. (2004). Posttranscriptional regulation of α-amylase II-4 expression by gibberellin in germinating rice seeds. Plant Physiology and Biochemistry. 42(6). 477–484. 21 indexed citations
20.
Nanjo, Yohei, Satoru Asatsuma, K. Itoh, Hidetaka Hori, & Toshiaki Mitsui. (2004). Proteomic Identification of α-Amylase Isoforms Encoded byRAmy3B/3Cfrom Germinating Rice Seeds. Bioscience Biotechnology and Biochemistry. 68(1). 112–118. 23 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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