Mitsuru Gau

638 total citations
28 papers, 489 citations indexed

About

Mitsuru Gau is a scholar working on Agronomy and Crop Science, Plant Science and Molecular Biology. According to data from OpenAlex, Mitsuru Gau has authored 28 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Agronomy and Crop Science, 14 papers in Plant Science and 13 papers in Molecular Biology. Recurrent topics in Mitsuru Gau's work include Biofuel production and bioconversion (13 papers), Bioenergy crop production and management (11 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Mitsuru Gau is often cited by papers focused on Biofuel production and bioconversion (13 papers), Bioenergy crop production and management (11 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Mitsuru Gau collaborates with scholars based in Japan, Slovakia and Russia. Mitsuru Gau's co-authors include Ken Tokuyasu, Long Wu, Masahisa Wada, Sergey Ivashuta, Masakazu Ike, Mitsuhiro Arakane, Sachiko Isobe, Yoshiya Shimamoto, Yuko Mizukami and Ryozo Imai and has published in prestigious journals such as Bioresource Technology, The Plant Journal and Journal of Experimental Botany.

In The Last Decade

Mitsuru Gau

26 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuru Gau Japan 12 244 227 187 116 35 28 489
Andrés F. Torres Ecuador 11 320 1.3× 173 0.8× 130 0.7× 198 1.7× 19 0.5× 22 503
Caragh Whitehead United Kingdom 8 198 0.8× 143 0.6× 148 0.8× 43 0.4× 22 0.6× 15 308
Geoffrey B. Turner United States 17 422 1.7× 340 1.5× 387 2.1× 164 1.4× 55 1.6× 25 754
Holly L. Baxter United States 14 306 1.3× 337 1.5× 400 2.1× 160 1.4× 30 0.9× 19 686
Sushree S. Mohanty United States 7 139 0.6× 317 1.4× 227 1.2× 50 0.4× 27 0.8× 8 454
Cassandra Collins United States 8 149 0.6× 233 1.0× 219 1.2× 55 0.5× 25 0.7× 10 391
Tim van der Weijde Netherlands 11 426 1.7× 180 0.8× 101 0.5× 354 3.1× 16 0.5× 11 557
Vimal Kumar Balasubramanian United States 11 197 0.8× 323 1.4× 221 1.2× 28 0.2× 32 0.9× 21 522
Chien-Yuan Lin United States 13 289 1.2× 283 1.2× 462 2.5× 42 0.4× 34 1.0× 28 656
Yasunori Ohmiya Japan 10 153 0.6× 492 2.2× 348 1.9× 30 0.3× 75 2.1× 14 630

Countries citing papers authored by Mitsuru Gau

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Gau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Gau

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Gau. A scholar is included among the top collaborators of Mitsuru Gau 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 Mitsuru Gau. Mitsuru Gau 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.
Kato, Naoki, et al.. (2016). The Effect of Open Air Storage on Carbohydrates and Higher Heating Value Recovery of Erianthus. Journal of the Japan Institute of Energy. 95(10). 915–921. 1 indexed citations
2.
Abe, Jun, et al.. (2016). Root-shoot relationships in four strains of field-grown Erianthus arundinaceus at seedling stage. Plant Production Science. 19(1). 161–164. 1 indexed citations
3.
Tamura, Ken‐ichi, Hiroshi Yamashita, Maiko Fujimori, et al.. (2015). Discovery of Natural Interspecific Hybrids Between Miscanthus Sacchariflorus and Miscanthus Sinensis in Southern Japan: Morphological Characterization, Genetic Structure, and Origin. BioEnergy Research. 9(1). 315–325. 17 indexed citations
4.
Ike, Masakazu, Rui Zhao, Min‐Soo Yun, et al.. (2013). High Solid-Loading Pretreatment/Saccharification Tests with CaCCO (Calcium Capturing by Carbonation) Process for Rice Straw and Domestic Energy Crop, Erianthus arundinaceus. Journal of Applied Glycoscience. 60(4). 177–185. 5 indexed citations
5.
Wu, Long, et al.. (2013). Sorghum as whole-crop feedstock for integrated production of fermentable sugars. Industrial Crops and Products. 49. 645–647. 8 indexed citations
6.
Wu, Long, Mitsuhiro Arakane, Masakazu Ike, et al.. (2011). Low temperature alkali pretreatment for improving enzymatic digestibility of sweet sorghum bagasse for ethanol production. Bioresource Technology. 102(7). 4793–4799. 139 indexed citations
7.
Maehara, Tomoko, Hiroaki Ishihara, Makoto Yoshida, et al.. (2011). Effect of Lime Pretreatment of Brown Midrib Sorghums. Bioscience Biotechnology and Biochemistry. 75(12). 2415–2417. 6 indexed citations
8.
Arai‐Sanoh, Yumiko, Masashi Ida, Satoshi Yoshinaga, et al.. (2011). Genotypic Variations in Non-Structural Carbohydrate and Cell-Wall Components of the Stem in Rice, Sorghum, and Sugar Vane. Bioscience Biotechnology and Biochemistry. 75(6). 1104–1112. 35 indexed citations
9.
Gau, Mitsuru, et al.. (2010). Mapping candidate QTLs related to plant persistency in red clover. Theoretical and Applied Genetics. 120(6). 1253–1263. 25 indexed citations
10.
Ichinose, Hitomi, Itaru Sotome, Tomoko Maehara, et al.. (2009). Use of Whole Crop Sorghums as a Raw Material in Consolidated Bioprocessing Bioethanol Production UsingFlammulina velutipes. Bioscience Biotechnology and Biochemistry. 73(7). 1671–1673. 32 indexed citations
11.
Kindiger, Bryan, et al.. (2006). Registration of ‘Nanryo’ Tall Fescue. Crop Science. 46(4). 1815–1816. 8 indexed citations
12.
Isobe, Sachiko, et al.. (2003). First RFLP linkage map of red clover (Trifolium pratense L.) based on cDNA probes and its transferability to other red clover germplasm. Theoretical and Applied Genetics. 108(1). 105–112. 38 indexed citations
13.
Ivashuta, Sergey, et al.. (2002). Genotype‐dependent transcriptional activation of novel repetitive elements during cold acclimation of alfalfa (Medicago sativa). The Plant Journal. 31(5). 615–627. 33 indexed citations
14.
Ivashuta, Sergey, et al.. (2002). Changes in chloroplast FtsH-like gene during cold acclimation in alfalfa (Medicago sativa). Journal of Plant Physiology. 159(1). 85–90. 17 indexed citations
16.
Gau, Mitsuru, et al.. (2000). Breeding of red clover 'Hokuseki' and its characteristics.. 17–32. 1 indexed citations
17.
Ivashuta, Sergey, et al.. (1999). The Coupling of Differential Display and AFLP Approaches for Nonradioactive mRNA Fingerprinting. Molecular Biotechnology. 12(2). 137–142. 7 indexed citations
18.
Kanbe, Michio, et al.. (1995). Variations in Pollen Production and Seed Set of Male Sterile Alfalfa Somaclones.. Ikushugaku zasshi. 45(1). 25–29. 1 indexed citations
19.
Gau, Mitsuru, et al.. (1990). Interspecific hybrids of Trifolium medium L. × 4x T. pratense L. obtained through embryo culture.. 35(4). 267–272. 15 indexed citations
20.
Gau, Mitsuru, et al.. (1988). Mitochondrial DNA Variation Among Alfalfa (Medicago sativa L. and M. falcata L.) Cultivars and Cytoplasmic Male Sterile Line. 34(3). 149–156. 1 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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