Mao Kinoshita

659 total citations
45 papers, 406 citations indexed

About

Mao Kinoshita is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Molecular Medicine. According to data from OpenAlex, Mao Kinoshita has authored 45 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Molecular Medicine. Recurrent topics in Mao Kinoshita's work include Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Mao Kinoshita is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Mao Kinoshita collaborates with scholars based in Japan, Israel and United Kingdom. Mao Kinoshita's co-authors include Teiji Sawa, Kiyoshi Moriyama, Koichi Akiyama, Masaru Shimizu, Yoshifumi Naito, Hideya Kato, Keita Inoue, Keiichi Itatani, Hiroaki Yasumoto and Yasufumi Nakajima and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Journal of Controlled Release.

In The Last Decade

Mao Kinoshita

40 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao Kinoshita Japan 12 116 112 105 69 62 45 406
Wei-Lin Tsai Taiwan 12 46 0.4× 45 0.4× 34 0.3× 49 0.7× 80 1.3× 22 421
R. P. Smith United Kingdom 14 72 0.6× 40 0.4× 22 0.2× 63 0.9× 61 1.0× 27 374
KE Hill New Zealand 13 48 0.4× 54 0.5× 17 0.2× 59 0.9× 35 0.6× 36 406
Edison Cano Cevallos United States 10 36 0.3× 79 0.7× 18 0.2× 114 1.7× 184 3.0× 23 491
Jane Harper United States 6 43 0.4× 16 0.1× 49 0.5× 61 0.9× 64 1.0× 12 190
Valérie Sivadon‐Tardy France 15 57 0.5× 109 1.0× 20 0.2× 569 8.2× 446 7.2× 26 1.1k
Stamatina Levidiotou-Stefanou Greece 11 85 0.7× 65 0.6× 187 1.8× 136 2.0× 190 3.1× 29 379
Jorge Yáñez Mexico 11 24 0.2× 74 0.7× 11 0.1× 20 0.3× 69 1.1× 32 298
Danielle Ingebrigtsen United States 3 27 0.2× 219 2.0× 11 0.1× 268 3.9× 138 2.2× 5 555

Countries citing papers authored by Mao Kinoshita

Since Specialization
Citations

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

Fields of papers citing papers by Mao Kinoshita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Kinoshita

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Kinoshita. A scholar is included among the top collaborators of Mao Kinoshita 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 Mao Kinoshita. Mao Kinoshita 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.
Kinoshita, Mao, Tasuku Matsuyama, Kunihiko Kooguchi, et al.. (2024). Case study observational research: inflammatory cytokines in the bronchial epithelial lining fluid of COVID-19 patients with acute hypoxemic respiratory failure. Critical Care. 28(1). 134–134. 1 indexed citations
2.
3.
Sawa, Teiji, Kiyoshi Moriyama, & Mao Kinoshita. (2024). Current status of bacteriophage therapy for severe bacterial infections. Journal of Intensive Care. 12(1). 44–44. 35 indexed citations
4.
Kinoshita, Mao, et al.. (2024). Immunological Response to Subcutaneous and Intranasal Administration of SARS-CoV-2 Spike Protein in Mice. Vaccines. 12(4). 343–343. 1 indexed citations
5.
6.
Kinoshita, Mao, et al.. (2023). Antibody Response Following the Intranasal Administration of SARS-CoV-2 Spike Protein-CpG Oligonucleotide Vaccine. Vaccines. 12(1). 5–5. 4 indexed citations
7.
Inoue, Keita, Mao Kinoshita, Masaru Shimizu, et al.. (2023). Effect of a Novel Trivalent Vaccine Formulation against Acute Lung Injury Caused by Pseudomonas aeruginosa. Vaccines. 11(6). 1088–1088. 6 indexed citations
8.
Kinoshita, Mao & Teiji Sawa. (2022). Serological immune response against major secretory proteins expressed by Pseudomonas aeruginosa upon intratracheal infection in mice. Respiratory Investigation. 60(2). 318–321. 1 indexed citations
9.
Sawa, Teiji, et al.. (2021). Difficult Airway Management in Neonates and Infants: Knowledge of Devices and a Device-Oriented Strategy. Frontiers in Pediatrics. 9. 654291–654291. 4 indexed citations
10.
Sawa, Teiji, et al.. (2020). Molecular epidemiology of clinically high‐risk Pseudomonas aeruginosa strains: Practical overview. Microbiology and Immunology. 64(5). 331–344. 19 indexed citations
11.
Naito, Yoshifumi, Mao Kinoshita, Masaru Shimizu, et al.. (2018). The protective effects of nasal PcrV‐CpG oligonucleotide vaccination against Pseudomonas aeruginosa pneumonia. Microbiology and Immunology. 62(12). 774–785. 24 indexed citations
12.
Kimura, Takeshi, Koichi Akiyama, Keita Inoue, et al.. (2018). An outbreak of fluoroquinolone-resistant Pseudomonas aeruginosa ST357 harboring the exoU gene. Journal of Infection and Chemotherapy. 24(8). 615–622. 23 indexed citations
13.
Naito, Yoshifumi, Masaru Shimizu, Mao Kinoshita, et al.. (2017). Efficacy comparison of adjuvants in PcrV vaccine against Pseudomonas aeruginosa pneumonia. Microbiology and Immunology. 61(2). 64–74. 23 indexed citations
14.
Akiyama, Koichi, Keiichi Itatani, Yoshifumi Naito, et al.. (2017). Flow-dynamics assessment of mitral-valve surgery by intraoperative vector flow mapping. Interactive Cardiovascular and Thoracic Surgery. 24(6). 869–875. 32 indexed citations
15.
Akiyama, Koichi, Yoshifumi Naito, Mao Kinoshita, et al.. (2017). Flow Energy Loss Evaluation in a Systolic Anterior Motion Case After the Ross Procedure. Journal of Cardiothoracic and Vascular Anesthesia. 31(6). 2118–2122. 7 indexed citations
16.
Akiyama, Koichi, Sachiko Maeda, Tasuku Matsuyama, et al.. (2017). Vector flow mapping analysis of left ventricular energetic performance in healthy adult volunteers. BMC Cardiovascular Disorders. 17(1). 21–21. 48 indexed citations
17.
Akiyama, Koichi, Keiichi Itatani, Yoshifumi Naito, et al.. (2016). Vector Flow Mapping and Impaired Left Ventricular Flow After the Alfieri Stitch. Journal of Cardiothoracic and Vascular Anesthesia. 31(1). 211–214. 8 indexed citations
18.
Akiyama, Koichi, Keiichi Itatani, Mao Kinoshita, et al.. (2016). MITRAL VALVE REPLACEMENT IMPAIRS LEFT VENTRICULAR BLOOD FLOW. Journal of the American College of Cardiology. 67(13). 1701–1701.
19.
Shimizu, Masaru, et al.. (2016). Protective effects of intravenous immunoglobulin and antimicrobial agents on acute pneumonia in leukopenic mice. Journal of Infection and Chemotherapy. 22(4). 240–247. 10 indexed citations
20.
Kinoshita, Mao, Etsuko Sawabe, & Noboru Okamura. (1997). Concept of segmentation in nosocomial epidemiology: Epidemiological relation among antimicrobial-resistant isolates of Pseudomonas aeruginosa. Journal of Infection. 35(3). 269–276. 5 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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