Toshiya Kawaguchi

850 total citations
8 papers, 726 citations indexed

About

Toshiya Kawaguchi is a scholar working on Hepatology, Molecular Biology and Surgery. According to data from OpenAlex, Toshiya Kawaguchi has authored 8 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hepatology, 5 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Toshiya Kawaguchi's work include Liver physiology and pathology (6 papers), Pancreatic function and diabetes (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Toshiya Kawaguchi is often cited by papers focused on Liver physiology and pathology (6 papers), Pancreatic function and diabetes (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Toshiya Kawaguchi collaborates with scholars based in Japan. Toshiya Kawaguchi's co-authors include Naomi Kitamura, Takeshi Shimomura, Kimitoshi Denda, Keiji Miyazawa, Jun Kondo, Qin Li, Kouji Matsumoto, Qin Li, Masahiro Kito and Shinji Kagaya and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Toshiya Kawaguchi

8 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiya Kawaguchi Japan 7 399 360 127 122 90 8 726
Danièle Taras France 8 359 0.9× 51 0.1× 46 0.4× 130 1.1× 179 2.0× 9 558
Eric Lik Hang Lui Hong Kong 10 306 0.8× 197 0.5× 63 0.5× 80 0.7× 70 0.8× 12 553
Atsushi Miwa Japan 14 438 1.1× 43 0.1× 79 0.6× 255 2.1× 140 1.6× 33 734
Zhengji Song China 10 191 0.5× 121 0.3× 75 0.6× 107 0.9× 86 1.0× 27 454
Jane Birtwistle United Kingdom 12 209 0.5× 117 0.3× 73 0.6× 65 0.5× 66 0.7× 21 554
Taishi Hashiguchi Japan 13 224 0.6× 154 0.4× 81 0.6× 61 0.5× 51 0.6× 20 633
Roger Mosselmans Belgium 11 161 0.4× 42 0.1× 45 0.4× 101 0.8× 34 0.4× 18 394
John W. Madsen United States 10 469 1.2× 20 0.1× 51 0.4× 89 0.7× 160 1.8× 11 791
Pia Herrmann Germany 18 665 1.7× 35 0.1× 67 0.5× 443 3.6× 236 2.6× 31 1.1k
Seung Oe Lim South Korea 9 394 1.0× 80 0.2× 21 0.2× 61 0.5× 71 0.8× 9 588

Countries citing papers authored by Toshiya Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Toshiya Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiya Kawaguchi

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

All Works

8 of 8 papers shown
1.
Tokuhiro, Kenro, Masayoshi Muramatsu, Chikara Ohto, et al.. (2009). Overproduction of Geranylgeraniol by Metabolically Engineered Saccharomyces cerevisiae. Applied and Environmental Microbiology. 75(17). 5536–5543. 97 indexed citations
2.
Denda, Kimitoshi, Takeshi Shimomura, Toshiya Kawaguchi, Keiji Miyazawa, & Naomi Kitamura. (2002). Functional Characterization of Kunitz Domains in Hepatocyte Growth Factor Activator Inhibitor Type 1. Journal of Biological Chemistry. 277(16). 14053–14059. 58 indexed citations
3.
Kaibori, Masaki, Tomohisa Inoue, Michio Oda, et al.. (2002). Exogenously Administered HGF Activator Augments Liver Regeneration through the Production of Biologically Active HGF. Biochemical and Biophysical Research Communications. 290(1). 475–481. 23 indexed citations
4.
Kataoka, Hiroaki, Takeshi Shimomura, Toshiya Kawaguchi, et al.. (2000). Hepatocyte Growth Factor Activator Inhibitor Type 1 Is a Specific Cell Surface Binding Protein of Hepatocyte Growth Factor Activator (HGFA) and Regulates HGFA Activity in the Pericellular Microenvironment. Journal of Biological Chemistry. 275(51). 40453–40462. 111 indexed citations
5.
Li, Qin, Kimitoshi Denda, Takeshi Shimomura, Toshiya Kawaguchi, & Naomi Kitamura. (1998). Functional characterization of Kunitz domains in hepatocyte growth factor activator inhibitor type 2. FEBS Letters. 436(1). 111–114. 36 indexed citations
6.
Shimomura, Takeshi, Kimitoshi Denda, Akiko Kitamura, et al.. (1997). Hepatocyte Growth Factor Activator Inhibitor, a Novel Kunitz-type Serine Protease Inhibitor. Journal of Biological Chemistry. 272(10). 6370–6376. 238 indexed citations
7.
Kawaguchi, Toshiya, Qin Li, Takeshi Shimomura, et al.. (1997). Purification and Cloning of Hepatocyte Growth Factor Activator Inhibitor Type 2, a Kunitz-type Serine Protease Inhibitor. Journal of Biological Chemistry. 272(44). 27558–27564. 161 indexed citations
8.
Kawaguchi, Toshiya, et al.. (1989). Efficient Expression of Peroxidatic Activity of Catalase in the Coupled System with Glucose Oxidase—a model of Yeast Peroxisomes. Biocatalysis. 2(4). 273–282. 2 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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