Takeshi Unoki

2.2k total citations · 1 hit paper
56 papers, 1.0k citations indexed

About

Takeshi Unoki is a scholar working on Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takeshi Unoki has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Critical Care and Intensive Care Medicine, 21 papers in Radiological and Ultrasound Technology and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takeshi Unoki's work include Intensive Care Unit Cognitive Disorders (32 papers), Family and Patient Care in Intensive Care Units (20 papers) and Respiratory Support and Mechanisms (16 papers). Takeshi Unoki is often cited by papers focused on Intensive Care Unit Cognitive Disorders (32 papers), Family and Patient Care in Intensive Care Units (20 papers) and Respiratory Support and Mechanisms (16 papers). Takeshi Unoki collaborates with scholars based in Japan, United States and Australia. Takeshi Unoki's co-authors include Hideaki Sakuramoto, Taro Mizutani, Shigeaki Inoue, Osamu Nishida, Yusuke Kawai, Kensuke Nakamura, Junji Hatakeyama, Toru Hifumi, Hidenori Toyooka and Yutaka Kondo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Takeshi Unoki

50 papers receiving 969 citations

Hit Papers

Post‐intensive care syndr... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takeshi Unoki Japan 18 519 284 277 208 148 56 1.0k
Robert Alan Hatch United Kingdom 11 529 1.0× 89 0.3× 329 1.2× 239 1.1× 172 1.2× 23 901
Brigit Roberts Australia 21 469 0.9× 282 1.0× 168 0.6× 74 0.4× 47 0.3× 41 1.1k
Avelino C. Verceles United States 21 395 0.8× 243 0.9× 139 0.5× 90 0.4× 32 0.2× 82 1.1k
Theresia Hummel Germany 10 634 1.2× 410 1.4× 199 0.7× 102 0.5× 75 0.5× 21 1.5k
George Ntoumenopoulos Australia 19 783 1.5× 900 3.2× 114 0.4× 174 0.8× 389 2.6× 69 1.4k
Carsten Hermes Germany 12 515 1.0× 201 0.7× 265 1.0× 110 0.5× 38 0.3× 60 666
Steven Reynolds Canada 19 554 1.1× 329 1.2× 163 0.6× 140 0.7× 100 0.7× 61 1.6k
S. Arias-Rivera Spain 12 476 0.9× 89 0.3× 125 0.5× 122 0.6× 45 0.3× 55 677
Maria Grazia Bocci Italy 16 255 0.5× 509 1.8× 80 0.3× 49 0.2× 101 0.7× 44 1.0k
Cheng Cheng Tan Malaysia 7 313 0.6× 109 0.4× 136 0.5× 87 0.4× 27 0.2× 9 848

Countries citing papers authored by Takeshi Unoki

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Unoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Unoki

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Unoki. A scholar is included among the top collaborators of Takeshi Unoki 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 Takeshi Unoki. Takeshi Unoki 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
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Sakuramoto, Hideaki, et al.. (2024). Nurses’ Attitudes, Practices, and Barriers to Assessing Symptoms of Discomfort in Mechanically Ventilated Patients: A Cross-Sectional Study. SAGE Open Nursing. 10. 2115898393–2115898393. 2 indexed citations
4.
Sakuramoto, Hideaki, et al.. (2024). Assessment of Dyspnea in Critically Ill Patients: A Comparative Analysis of Evaluation Scales. Cureus. 16(1). e52751–e52751. 2 indexed citations
5.
Unoki, Takeshi, et al.. (2023). Return-to-Work Prevalence Among COVID-19 Patients After Receiving Intensive Care: A Systematic Review and Meta-Analysis. Cureus. 15(10). e46315–e46315. 2 indexed citations
6.
Yoshihiro, Shodai, Shunsuke Taito, Takero Terayama, et al.. (2023). Follow-up focused on psychological intervention initiated after intensive care unit in adult patients and informal caregivers: a systematic review and meta-analysis. PeerJ. 11. e15260–e15260. 5 indexed citations
7.
Unoki, Takeshi, et al.. (2023). Appetite loss and associated factors at 1 year after intensive care unit elder survivors in a secondary analysis of the SMAP-HoPe study. Scientific Reports. 13(1). 1079–1079. 8 indexed citations
8.
Sakuramoto, Hideaki, et al.. (2023). Clinical practice competencies for standard critical care nursing: consensus statement based on a systematic review and Delphi survey. BMJ Open. 13(1). e068734–e068734. 8 indexed citations
10.
Unoki, Takeshi, et al.. (2022). Influence of Mutual Support on Burnout among Intensive Care Unit Healthcare Professionals. SAGE Open Nursing. 8. 2095738161–2095738161. 6 indexed citations
11.
Nakanishi, Nobuto, Keibun Liu, Takahiko Tamura, et al.. (2022). Impact of Energy and Protein Delivery to Critically Ill Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Nutrients. 14(22). 4849–4849. 12 indexed citations
12.
Unoki, Takeshi, et al.. (2022). Relationship between no-visitation policy and the development of delirium in patients admitted to the intensive care unit. PLoS ONE. 17(3). e0265082–e0265082. 6 indexed citations
13.
Nakanishi, Nobuto, Keibun Liu, Daisuke Kawakami, et al.. (2021). Post-Intensive Care Syndrome and Its New Challenges in Coronavirus Disease 2019 (COVID-19) Pandemic: A Review of Recent Advances and Perspectives. Journal of Clinical Medicine. 10(17). 3870–3870. 56 indexed citations
14.
Unoki, Takeshi, et al.. (2021). Workforce and Task Sharing of Nurses in the Japanese Intensive Care Unit-Cross-Sectional Postal Survey. Healthcare. 9(8). 1017–1017. 3 indexed citations
15.
Unoki, Takeshi, et al.. (2021). Adverse Effects of Personal Protective Equipment Among Intensive Care Unit Healthcare Professionals During the COVID-19 Pandemic: A Scoping Review. SAGE Open Nursing. 7. 2085679348–2085679348. 27 indexed citations
16.
Unoki, Takeshi, Akira Ouchi, Hideaki Sakuramoto, et al.. (2020). Personal protective equipment use by health‐care workers in intensive care units during the COVID‐19 pandemic in Japan: comparative analysis with the PPE‐SAFE survey. Acute Medicine & Surgery. 7(1). e584–e584. 23 indexed citations
17.
Okada, Yohei, Takeshi Unoki, Yujiro Matsuishi, et al.. (2019). Early versus delayed mobilization for in-hospital mortality and health-related quality of life among critically ill patients: a systematic review and meta-analysis. Journal of Intensive Care. 7(1). 57–57. 39 indexed citations
18.
Matsuishi, Yujiro, Nobutake Shimojo, Takeshi Unoki, et al.. (2019). Type D personality is a predictor of prolonged acute brain dysfunction (delirium/coma) after cardiovascular surgery. BMC Psychology. 7(1). 27–27. 20 indexed citations
19.
Unoki, Takeshi, et al.. (2010). Nursing Competency: Concept, Structure of Dimensions, and Assessment. 14(2). 18–28. 6 indexed citations
20.
Unoki, Takeshi, et al.. (2010). . Journal of the Japanese Society of Intensive Care Medicine. 17(2). 145–154. 1 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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