Hyeon Joo

2.4k total citations · 1 hit paper
11 papers, 1.6k citations indexed

About

Hyeon Joo is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Hyeon Joo has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Molecular Biology. Recurrent topics in Hyeon Joo's work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Hemodynamic Monitoring and Therapy (3 papers) and Machine Learning in Healthcare (2 papers). Hyeon Joo is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (4 papers), Hemodynamic Monitoring and Therapy (3 papers) and Machine Learning in Healthcare (2 papers). Hyeon Joo collaborates with scholars based in United States and South Korea. Hyeon Joo's co-authors include Irina D. Pogozheva, Andrei L. Lomize, Henry I. Mosberg, Mark Newman, Sonali R. Mishra, Rayoung Yang, Michael Burns, V. G. Vinod Vydiswaran, Nicholas J. Douville and Michael D. Maile and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Anesthesia & Analgesia.

In The Last Decade

Hyeon Joo

10 papers receiving 1.6k citations

Hit Papers

OPM database and PPM web server: resources for positionin... 2011 2026 2016 2021 2011 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. OPM database and PPM web server: resources for positioning of proteins in membranes
    2011 1.5k citations Irina D. Pogozheva, Hyeon Joo et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeon Joo United States 7 1.2k 293 124 115 109 11 1.6k
Ravinder Abrol United States 27 926 0.8× 329 1.1× 100 0.8× 151 1.3× 87 0.8× 62 1.6k
Gregor Zlokarnik United States 10 1.1k 0.9× 279 1.0× 130 1.0× 127 1.1× 91 0.8× 11 1.7k
Yoonji Lee South Korea 25 924 0.8× 189 0.6× 102 0.8× 53 0.5× 72 0.7× 82 1.9k
Lucie Delemotte Sweden 29 1.6k 1.3× 600 2.0× 66 0.5× 139 1.2× 74 0.7× 84 2.3k
Simone Weyand United Kingdom 11 1.2k 1.0× 418 1.4× 84 0.7× 116 1.0× 94 0.9× 17 1.6k
Xun Chen China 32 1.4k 1.2× 276 0.9× 107 0.9× 41 0.4× 153 1.4× 123 2.7k
Timothy S. Carpenter United States 20 938 0.8× 114 0.4× 66 0.5× 84 0.7× 88 0.8× 43 1.4k
Poncho Meisenheimer United States 16 1.4k 1.2× 306 1.0× 115 0.9× 72 0.6× 133 1.2× 25 1.8k
Javier García‐Nafría United Kingdom 18 1.4k 1.2× 666 2.3× 104 0.8× 166 1.4× 43 0.4× 32 1.7k
Oliver B. Clarke United States 26 1.6k 1.4× 262 0.9× 267 2.2× 56 0.5× 74 0.7× 64 2.4k

Countries citing papers authored by Hyeon Joo

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeon Joo

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

All Works

11 of 11 papers shown
1.
Mathis, Michael R., Kamrouz Ghadimi, Elizabeth S. Jewell, et al.. (2024). Heart failure diagnostic accuracy, intraoperative fluid management, and postoperative acute kidney injury: a single-centre prospective observational study. British Journal of Anaesthesia. 134(1). 32–44.
2.
Joo, Hyeon, Michael R. Mathis, Marty Tam, et al.. (2023). Applying AI and Guidelines to Assist Medical Students in Recognizing Patients With Heart Failure: Protocol for a Randomized Trial. JMIR Research Protocols. 12. e49842–e49842. 2 indexed citations
3.
Newman, Noah, Michael W. Sjoding, Hyeon Joo, et al.. (2023). Differences between patients in whom physicians agree versus disagree about the preoperative diagnosis of heart failure. Journal of Clinical Anesthesia. 90. 111226–111226. 1 indexed citations
4.
Golbus, Jessica R., Hyeon Joo, Allison M. Janda, et al.. (2022). Preoperative clinical diagnostic accuracy of heart failure among patients undergoing major noncardiac surgery: a single-centre prospective observational analysis. SHILAP Revista de lepidopterología. 4. 100113–100113. 6 indexed citations
5.
Joo, Hyeon, et al.. (2022). External Validation of Postpartum Hemorrhage Prediction Models Using Electronic Health Record Data. American Journal of Perinatology. 41(5). 598–605. 6 indexed citations
6.
7.
Joo, Hyeon, et al.. (2021). Effects of Al, Si and N Content on the Formation of M-A Constituent and HAZ Toughness of Ti-Containing Low-Carbon Steel. Materials science forum. 1016. 42–49. 1 indexed citations
8.
Mathis, Michael R., Milo Engoren, Hyeon Joo, et al.. (2020). Early Detection of Heart Failure With Reduced Ejection Fraction Using Perioperative Data Among Noncardiac Surgical Patients: A Machine-Learning Approach. Anesthesia & Analgesia. 130(5). 1188–1200. 20 indexed citations
9.
Vydiswaran, V. G. Vinod, Xinyan Zhao, Philip Robinson, et al.. (2019). Hybrid bag of approaches to characterize selection criteria for cohort identification. Journal of the American Medical Informatics Association. 26(11). 1172–1180. 15 indexed citations
10.
11.
Pogozheva, Irina D., et al.. (2011). OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Research. 40(D1). D370–D376. 1479 indexed citations breakdown →

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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