Masaki Gouda

474 total citations
11 papers, 385 citations indexed

About

Masaki Gouda is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Masaki Gouda has authored 11 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Hematology. Recurrent topics in Masaki Gouda's work include RNA modifications and cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Masaki Gouda is often cited by papers focused on RNA modifications and cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Masaki Gouda collaborates with scholars based in Japan, Austria and United States. Masaki Gouda's co-authors include Yasuyuki Kirii, Koichi Yokota, Eiji Nishiwaki, Hiroshi Ohmoto, Nobuhiro Hayashi, Sebastian Maurer‐Stroh, Frank Eisenhaber, Maria Novatchkova, Alexander Schleiffer and Georg Schneider and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Masaki Gouda

10 papers receiving 376 citations

Peers

Masaki Gouda

MB

ONCOL

PRM

OC

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Mutsumi Okamura Japan

James R. Porter United States

Chun-Hwa Chen Taiwan

Henrik Moebitz Switzerland

Olaf Witt Germany

Sailu Sarvagalla India

Shan‐Liang Sun China

Min‐Wu Chao Taiwan

Claire McWhirter United Kingdom

Elin Lindhagen Sweden

Mutsumi Okamura Japan

Masaki Gouda

363 ×1.5

MB

72 ×0.8

ONCOL

57 ×1.1

PRM

75 ×1.5

OC

73 ×1.7

CB

Citations per year, relative to Masaki Gouda Masaki Gouda (= 1×) peers Mutsumi Okamura

Countries citing papers authored by Masaki Gouda

Since Specialization

Citations

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

Fields of papers citing papers by Masaki Gouda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Gouda

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

All Works

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11 of 11 papers shown

1.

Gouda, Masaki, et al.. (2019). Prognostic Significance of Concurrent MYC, BCL2 and/or BCL6 Expression in Diffuse Large B-Cell Lymphoma. The Medical Journal of Cairo University. 87(9). 3581–3588.

2.

Gouda, Masaki, et al.. (2013). Quick Evaluation of Kinase Inhibitors by Surface Plasmon Resonance Using Single-Site Specifically Biotinylated Kinases. SLAS DISCOVERY. 19(3). 453–461. 13 indexed citations

3.

Fukada, Harumi, Tatsuya Inoue, Masaki Gouda, et al.. (2012). Seven Cysteine-Deficient Mutants Depict the Interplay between Thermal and Chemical Stabilities of Individual Cysteine Residues in Mitogen-Activated Protein Kinase c-Jun N-Terminal Kinase 1. Biochemistry. 51(42). 8410–8421. 18 indexed citations

4.

Yokota, Koichi, et al.. (2012). Activity‐based kinase profiling of approved tyrosine kinase inhibitors. Genes to Cells. 18(2). 110–122. 173 indexed citations

5.

Kitagawa, Dai, Masaki Gouda, Yasuyuki Kirii, et al.. (2011). Characterization of kinase inhibitors using different phosphorylation states of colony stimulating factor-1 receptor tyrosine kinase. The Journal of Biochemistry. 151(1). 47–55. 14 indexed citations

6.

Fujiwara, Daisuke, Zhengmao Ye, Masaki Gouda, et al.. (2010). Selection of inhibitory peptides for Aurora-A kinase from a phage-displayed library of helix–loop–helix peptides. Bioorganic & Medicinal Chemistry Letters. 20(5). 1776–1778. 15 indexed citations

7.

Kinoshita, Takayoshi, Masaki Gouda, Mamoru Matsubara, et al.. (2008). Crystal structure of human mono-phosphorylated ERK1 at Tyr204. Biochemical and Biophysical Research Communications. 377(4). 1123–1127. 48 indexed citations

8.

Gouda, Masaki, et al.. (2006). Use of RNase P for Efficient Preparation of Yeast tRNATyr Transcript and Its Mutants. The Journal of Biochemistry. 139(1). 123–127. 14 indexed citations

9.

Maurer‐Stroh, Sebastian, Masaki Gouda, Maria Novatchkova, et al.. (2004). MYRbase: analysis of genome-wide glycine myristoylation enlarges the functional spectrum of eukaryotic myristoylated proteins. Genome biology. 5(3). R21–R21. 77 indexed citations

10.

Gouda, Masaki, Takashi Yokogawa, Haruichi Asahara, & Kazuya Nishikawa. (2002). Leucyl‐tRNA synthetase from the extreme thermophile Aquifex aeolicus has a heterodimeric quaternary structure. FEBS Letters. 518(1-3). 139–143. 9 indexed citations

11.

Gouda, Masaki, Takashi Yokogawa, & Kazuya Nishikawa. (2002). The β subunit of Aquifex aeolicus leucyl-tRNA synthetase is responsible for cognate tRNA recognition. Biochemical and Biophysical Research Communications. 297(4). 950–955. 4 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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