Shōgo Masuda

508 total citations
43 papers, 420 citations indexed

About

Shōgo Masuda is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Shōgo Masuda has authored 43 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 21 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Shōgo Masuda's work include Antimicrobial Resistance in Staphylococcus (20 papers), Biochemical and Structural Characterization (8 papers) and Bacterial biofilms and quorum sensing (8 papers). Shōgo Masuda is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (20 papers), Biochemical and Structural Characterization (8 papers) and Bacterial biofilms and quorum sensing (8 papers). Shōgo Masuda collaborates with scholars based in Japan, South Korea and Sweden. Shōgo Masuda's co-authors include Keiko Seki, Junji Sakurada, Hitomi Shinji, Akemi Usui, Isamu Kondo, John Sjöquist, Shoko Nishihara, Tadayuki Iwase, Shigeru Oiso and Katsushi Yamada and has published in prestigious journals such as Infection and Immunity, Microbiology and Cancer Science.

In The Last Decade

Shōgo Masuda

41 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shōgo Masuda Japan 12 208 183 62 56 51 43 420
Michael J. Elmore United Kingdom 12 253 1.2× 251 1.4× 65 1.0× 46 0.8× 45 0.9× 18 644
A Okabe Japan 10 190 0.9× 163 0.9× 89 1.4× 13 0.2× 72 1.4× 11 417
Lothar Groebe Germany 11 73 0.4× 160 0.9× 216 3.5× 33 0.6× 44 0.9× 12 477
Ivan Walev Germany 9 69 0.3× 190 1.0× 158 2.5× 33 0.6× 11 0.2× 9 441
Florence Dupuit France 11 80 0.4× 257 1.4× 34 0.5× 41 0.7× 10 0.2× 16 650
Herman Groen Netherlands 12 91 0.4× 222 1.2× 163 2.6× 21 0.4× 26 0.5× 21 476
Ariana Umaña United States 6 87 0.4× 256 1.4× 46 0.7× 18 0.3× 61 1.2× 8 420
Manuela Dürr Germany 9 237 1.1× 376 2.1× 218 3.5× 253 4.5× 16 0.3× 10 776
Himanshu Malhotra India 12 105 0.5× 304 1.7× 68 1.1× 33 0.6× 11 0.2× 24 526
Christopher C. Yoo United States 5 68 0.3× 209 1.1× 37 0.6× 16 0.3× 41 0.8× 6 336

Countries citing papers authored by Shōgo Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Shōgo Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shōgo Masuda

This figure shows the co-authorship network connecting the top 25 collaborators of Shōgo Masuda. A scholar is included among the top collaborators of Shōgo Masuda 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 Shōgo Masuda. Shōgo Masuda 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.
Nishida, Kentaro, Satoshi Kuchiiwa, Shigeru Oiso, et al.. (2008). Up‐regulation of matrix metalloproteinase‐3 in the dorsal root ganglion of rats with paclitaxel‐induced neuropathy. Cancer Science. 99(8). 1618–1625. 52 indexed citations
2.
Iwase, Tadayuki, Sadayori Hoshina, Keiko Seki, et al.. (2007). Rapid identification and specific quantification of Staphylococcus epidermidis by 5′ nuclease real-time polymerase chain reaction with a minor groove binder probe. Diagnostic Microbiology and Infectious Disease. 60(2). 217–219. 9 indexed citations
3.
Shinji, Hitomi, Keiko Seki, Akiko Tajima, Atsuko Uchida, & Shōgo Masuda. (2002). Fibronectin Bound to the Surface of Staphylococcus aureus Induces Association of Very Late Antigen 5 and Intracellular Signaling Factors with Macrophage Cytoskeleton. Infection and Immunity. 71(1). 140–146. 16 indexed citations
4.
Sakurada, Junji, et al.. (1999). Apoptosis Observed in BALB/3T3 Cells Having Ingested Staphylococcus aureus. Microbiology and Immunology. 43(7). 653–661. 11 indexed citations
5.
Saito, Yumi, Keiko Seki, Yoko Honma, et al.. (1998). Epidemiologic Typing of Methicillin‐Resistant Staphylococcus aureus in Neonate Intensive Care Units Using Pulsed‐Field Gel Electrophoresis. Microbiology and Immunology. 42(11). 723–729. 9 indexed citations
6.
Seki, Keiko, et al.. (1998). Inhibitory Effect of Bacterial Attachment on Candidal Growth Due to Adherence with Mannose‐Sensitive Pili. Microbiology and Immunology. 42(4). 321–324. 4 indexed citations
7.
8.
Seki, Keiko, et al.. (1995). Subcutaneous Growth of Staphylococcus aureus Concomitantly Inoculated with Ehrlich Ascites Tumor Cells. Microbiology and Immunology. 39(9). 725–728. 5 indexed citations
9.
Seki, Keiko, et al.. (1995). Conspicuous Growth of Intravenously Inoculated Staphylococcus aureus in Subcutaneously Established Ehrlich Ascites Tumor Tissue of Mice. Microbiology and Immunology. 39(2). 153–155. 1 indexed citations
10.
Sakurada, Junji, et al.. (1994). Biochemical and genetic heterogeneity of staphylococcal protein A. FEMS Microbiology Letters. 119(1-2). 59–63. 7 indexed citations
11.
Seki, Keiko, et al.. (1989). Altered Virulence of a Pleiotropic Staphylococcus aureus Mutant with a Low Producibility of Coagulase and Other Factors in Mice. Microbiology and Immunology. 33(12). 981–990. 15 indexed citations
12.
Oimomi, Munetada, Naoya Igaki, Shōgo Masuda, et al.. (1988). Hair protein glycation as a long-term index of blood glucose in diabetics. Diabetes Research and Clinical Practice. 5(4). 305–308. 3 indexed citations
13.
Ikigai, Hajime, Keiko Seki, Shoko Nishihara, & Shōgo Masuda. (1988). Simplified Method for Preparation of Concentrated Exoproteins Produced by Staphylococcus aureus Grown on Surface of Cellophane Bag Containing Liquid Medium. Microbiology and Immunology. 32(2). 225–228. 7 indexed citations
14.
Oimomi, Munetada, et al.. (1988). Glycation of hair protein in the assessment of long-term control of blood glucose.. Japanese Journal of Medicine. 27(3). 277–280. 4 indexed citations
15.
Oimomi, Munetada, Shōgo Masuda, Yuichiro Maéda, et al.. (1987). Accelerated glycation of the aorta in diabetic rats. Diabetes Research and Clinical Practice. 4(1). 23–26. 1 indexed citations
16.
17.
Seki, Keiko, Shoko Nishihara, & Shōgo Masuda. (1985). A Rapid and Simple Method for the Purification of Staphylococcal Protein A from the Culture of Extracellularly Protein A‐Releasing Mutant. Microbiology and Immunology. 29(6). 559–563. 5 indexed citations
18.
Masuda, Shōgo, Keiko Seki, & Shoko Nishihara. (1984). Tumoricidal Adsorption of Staphylococcus aureus Organisms on Ehrlich Ascites Tumor Cells Sensitized with Rabbit Antibody. Microbiology and Immunology. 28(9). 987–995. 3 indexed citations
19.
Masuda, Shōgo. (1983). An Efficient Method for the Isolation of a Mutant with an Extremely Low Producibility of Coagulase from a Staphylococcus aureus Strain. Microbiology and Immunology. 27(9). 801–805. 12 indexed citations
20.
Nakano, Masayasu, et al.. (1980). Polyclonal Antibody Production in Murine Spleen Cells Induced by Staphylococcus. Microbiology and Immunology. 24(10). 981–994. 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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