Ryo Uchimido

1.3k total citations · 1 hit paper
14 papers, 719 citations indexed

About

Ryo Uchimido is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Surgery. According to data from OpenAlex, Ryo Uchimido has authored 14 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Critical Care and Intensive Care Medicine and 3 papers in Surgery. Recurrent topics in Ryo Uchimido's work include Sepsis Diagnosis and Treatment (5 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). Ryo Uchimido is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). Ryo Uchimido collaborates with scholars based in Japan, United States and United Kingdom. Ryo Uchimido's co-authors include Nathan I. Shapiro, Eric P. Schmidt, John A. Kellum, Sarah A. McMurtry, Derek C. Angus, Joseph A. Hippensteel, Robert J. Linhardt, Ryan C. Burke, Donald M. Yealy and Fuming Zhang and has published in prestigious journals such as Circulation Research, Scientific Reports and Critical Care.

In The Last Decade

Ryo Uchimido

13 papers receiving 707 citations

Hit Papers

The glycocalyx: a novel diagnostic and therapeutic target... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Ryo Uchimido
James F. Colbert United States
Ryo Uchimido
Citations per year, relative to Ryo Uchimido Ryo Uchimido (= 1×) peers James F. Colbert

Countries citing papers authored by Ryo Uchimido

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Uchimido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Uchimido

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

All Works

14 of 14 papers shown
1.
2.
Nosaka, Nobuyuki, et al.. (2023). An anthropometric evidence against the use of age-based estimation of bodyweight in pediatric patients admitted to intensive care units. Scientific Reports. 13(1). 3574–3574. 3 indexed citations
4.
Kudo, Daisuke, Tadahiro Goto, Ryo Uchimido, et al.. (2021). Coagulation phenotypes in sepsis and effects of recombinant human thrombomodulin: an analysis of three multicentre observational studies. Critical Care. 25(1). 114–114. 52 indexed citations
5.
Kondo, Yutaka, Tatsuma Fukuda, Ryo Uchimido, et al.. (2021). Advanced Life Support vs. Basic Life Support for Patients With Trauma in Prehospital Settings: A Systematic Review and Meta-Analysis. Frontiers in Medicine. 8. 660367–660367. 12 indexed citations
6.
Ebner, Daniel K., et al.. (2020). The advent of medical artificial intelligence: lessons from the Japanese approach. Journal of Intensive Care. 8(1). 35–35. 19 indexed citations
7.
Hirabayashi, Kazuko, Takahiro Sakuma, Hideo Koike, et al.. (2020). Development of glomerular hyperfiltration, a multiphasic phenomenon. American Journal of Physiology-Renal Physiology. 319(6). F1037–F1041. 3 indexed citations
8.
Uchimido, Ryo, Eric P. Schmidt, & Nathan I. Shapiro. (2019). The glycocalyx: a novel diagnostic and therapeutic target in sepsis. Critical Care. 23(1). 16–16. 434 indexed citations breakdown →
9.
Hippensteel, Joseph A., Ryo Uchimido, Patrick D. Tyler, et al.. (2019). Intravenous fluid resuscitation is associated with septic endothelial glycocalyx degradation. Critical Care. 23(1). 259–259. 136 indexed citations
10.
Uchimido, Ryo, et al.. (2019). Abstract 448: Predicting Blood Pressure Response to Fluid Bolus Therapy Using Neural Networks with Clinical Interpretability. Circulation Research. 125(Suppl_1). 5 indexed citations
11.
Mochizuki, Katsunori, et al.. (2018). Early Changes in the Sequential Organ Failure Assessment Score Among Patients With Sepsis-Induced Disseminated Intravascular Coagulation. Clinical and Applied Thrombosis/Hemostasis. 24(9_suppl). 332S–339S. 1 indexed citations
12.
Kondo, Yutaka, Tatsuma Fukuda, Ryo Uchimido, Toru Hifumi, & Kei Hayashida. (2017). Effects of advanced life support versus basic life support on the mortality rates of patients with trauma in prehospital settings: a study protocol for a systematic review and meta-analysis. BMJ Open. 7(10). e016912–e016912. 5 indexed citations
14.
Kageyama, Shun‐Ichiro, Hiroki Yokoo, Kengo Tomita, et al.. (2011). High glucose-induced apoptosis in human coronary artery endothelial cells involves up-regulation of death receptors. Cardiovascular Diabetology. 10(1). 73–73. 40 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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