Yu Inata

764 total citations
30 papers, 226 citations indexed

About

Yu Inata is a scholar working on Emergency Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Inata has authored 30 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Emergency Medicine, 10 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Inata's work include Cardiac Arrest and Resuscitation (7 papers), Sepsis Diagnosis and Treatment (6 papers) and Emergency and Acute Care Studies (5 papers). Yu Inata is often cited by papers focused on Cardiac Arrest and Resuscitation (7 papers), Sepsis Diagnosis and Treatment (6 papers) and Emergency and Acute Care Studies (5 papers). Yu Inata collaborates with scholars based in Japan and United States. Yu Inata's co-authors include Muneyuki Takeuchi, Takeshi Hatachi, Yoshiyuki Shimizu, Kazuya Tachibana, Basilia Zingarelli, Paul W. Hake, Patrick Lahni, Giovanna Piraino, Etsuko Nakagami‐Yamaguchi and Satoshi Kikuchi and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The FASEB Journal.

In The Last Decade

Yu Inata

26 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Inata Japan 10 85 60 41 40 35 30 226
Marco Marano Italy 10 52 0.6× 97 1.6× 59 1.4× 18 0.5× 54 1.5× 39 263
Kera E. Luckritz United States 7 80 0.9× 49 0.8× 44 1.1× 14 0.3× 54 1.5× 11 273
Jaime Blackwood Canada 10 57 0.7× 69 1.1× 23 0.6× 28 0.7× 101 2.9× 17 276
Shanti Patel United States 10 52 0.6× 83 1.4× 59 1.4× 31 0.8× 35 1.0× 20 297
Krishnaswamy Sundararajan Australia 7 70 0.8× 31 0.5× 25 0.6× 25 0.6× 24 0.7× 33 294
Amelia Sánchez Spain 11 51 0.6× 69 1.1× 90 2.2× 49 1.2× 50 1.4× 23 326
Gabriella Bottari Italy 11 82 1.0× 78 1.3× 57 1.4× 7 0.2× 35 1.0× 42 251
Jonathan Bannard‐Smith United Kingdom 10 94 1.1× 95 1.6× 68 1.7× 32 0.8× 77 2.2× 22 324
Lauren Page Black United States 11 147 1.7× 43 0.7× 42 1.0× 30 0.8× 31 0.9× 29 267
Jenny Bush United States 8 171 2.0× 37 0.6× 59 1.4× 38 0.9× 38 1.1× 12 262

Countries citing papers authored by Yu Inata

Since Specialization
Citations

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

Fields of papers citing papers by Yu Inata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Inata

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Inata. A scholar is included among the top collaborators of Yu Inata 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 Yu Inata. Yu Inata 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.
Miyasho, Taku, Yusuke Endo, Yu Inata, et al.. (2024). Estimating the change in pleural pressure using the change in central venous pressure in various clinical scenarios: a pig model study. Intensive Care Medicine Experimental. 12(1). 4–4. 1 indexed citations
2.
Inata, Yu, et al.. (2023). Quality analysis of the clinical laboratory literature and its effectiveness on clinical quality improvement: a systematic review. Journal of Clinical Biochemistry and Nutrition. 73(2). 108–115. 7 indexed citations
4.
Hatachi, Takeshi, Nobuaki Michihata, Yu Inata, et al.. (2020). Prognostic Factors Among Children With Acute Encephalitis/Encephalopathy Associated With Viral and Other Pathogens. Clinical Infectious Diseases. 73(1). 76–82. 7 indexed citations
5.
Inata, Yu, et al.. (2020). Hyponatremia due to unopened septa of peritoneal dialysis fluid bags. Pediatrics International. 62(7). 878–879.
6.
Inata, Yu. (2020). Should we treat sepsis-induced DIC with anticoagulants?. Journal of Intensive Care. 8(1). 18–18. 11 indexed citations
7.
Hatachi, Takeshi, et al.. (2019). Incidence and risk factors for readmission to a paediatric intensive care unit. Nursing in Critical Care. 25(3). 149–155.
8.
Takeshita, Jun, Yu Inata, Yukie Ito, et al.. (2019). Dynamic Needle Tip Positioning for Ultrasound-Guided Placement of a Peripherally Inserted Central Catheter in Pediatric Patients. Journal of Cardiothoracic and Vascular Anesthesia. 34(1). 114–118. 7 indexed citations
9.
Takeuchi, Muneyuki, Yu Inata, Nao Okuda, et al.. (2019). A novel method for transpulmonary pressure estimation using fluctuation of central venous pressure. Journal of Clinical Monitoring and Computing. 34(4). 725–731. 8 indexed citations
10.
Hatachi, Takeshi, et al.. (2019). Effects of Healthcare-Associated Infections on Length of PICU Stay and Mortality. Pediatric Critical Care Medicine. 20(11). e503–e509. 4 indexed citations
11.
Matsumoto, Noboru, Takeshi Hatachi, Yu Inata, Yoshiyuki Shimizu, & Muneyuki Takeuchi. (2018). Long-term mortality and functional outcome after prolonged paediatric intensive care unit stay. European Journal of Pediatrics. 178(2). 155–160. 13 indexed citations
12.
Inata, Yu, Giovanna Piraino, Paul W. Hake, et al.. (2018). Age-dependent cardiac function during experimental sepsis: effect of pharmacological activation of AMP-activated protein kinase by AICAR. American Journal of Physiology-Heart and Circulatory Physiology. 315(4). H826–H837. 21 indexed citations
13.
Naito, Yusuke, Yoshiyuki Shimizu, Takeshi Hatachi, et al.. (2018). Predicting extubation readiness by monitoring the electrical activity of the diaphragm after prolonged mechanical ventilation: a pediatric case report. JA Clinical Reports. 4(1). 76–76. 1 indexed citations
14.
Inata, Yu, et al.. (2018). Outcomes of ‘unrecognised situation awareness failures events’ in intensive care unit transfer of children in a Japanese children's hospital. Journal of Paediatrics and Child Health. 55(2). 213–215. 8 indexed citations
15.
Inata, Yu & Muneyuki Takeuchi. (2018). Ventilator auto‐triggering by cardiac electrical activity during noninvasive ventilation with neurally adjusted ventilatory assist. Clinical Case Reports. 6(7). 1379–1380. 1 indexed citations
16.
Inata, Yu, et al.. (2018). Inter‐shift variation in unscheduled intensive care unit transfers at a children's hospital. Pediatrics International. 60(5). 411–413. 1 indexed citations
17.
Hatachi, Takeshi, et al.. (2018). Risk factors and outcomes of tracheostomy after prolonged mechanical ventilation in pediatric patients with heart disease. Progress in Pediatric Cardiology. 50. 29–33. 1 indexed citations
18.
Hatachi, Takeshi, Kazuya Tachibana, Yu Inata, et al.. (2018). Risk Factors for Healthcare-Associated Infections After Pediatric Cardiac Surgery*. Pediatric Critical Care Medicine. 19(3). 237–244. 22 indexed citations
19.
Takeuchi, Muneyuki, et al.. (2017). Life-Sustaining Treatment Status at the Time of Death in a Japanese Pediatric Intensive Care Unit. American Journal of Hospice and Palliative Medicine®. 35(5). 767–771. 11 indexed citations
20.
Inata, Yu, et al.. (2017). Ventilator-Induced Hiccups. The Journal of Pediatrics. 189. 238–238. 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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