Byung‐Moon Choi

2.1k total citations
93 papers, 1.5k citations indexed

About

Byung‐Moon Choi is a scholar working on Anesthesiology and Pain Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Byung‐Moon Choi has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Anesthesiology and Pain Medicine, 37 papers in Surgery and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Byung‐Moon Choi's work include Anesthesia and Sedative Agents (45 papers), Anesthesia and Pain Management (19 papers) and Hemodynamic Monitoring and Therapy (15 papers). Byung‐Moon Choi is often cited by papers focused on Anesthesia and Sedative Agents (45 papers), Anesthesia and Pain Management (19 papers) and Hemodynamic Monitoring and Therapy (15 papers). Byung‐Moon Choi collaborates with scholars based in South Korea, United States and Puerto Rico. Byung‐Moon Choi's co-authors include Gyu‐Jeong Noh, UnCheol Lee, George A. Mashour, Seunghwan Kim, Seungwoo Ku, Eunjin Hwang, Yong‐Hun Lee, Ji‐Yeon Bang, Hang‐Sik Shin and Markus Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Byung‐Moon Choi

84 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung‐Moon Choi South Korea 19 701 581 312 196 180 93 1.5k
Gyu‐Jeong Noh South Korea 22 882 1.3× 748 1.3× 376 1.2× 234 1.2× 211 1.2× 90 2.0k
Benno Rehberg Germany 22 314 0.4× 630 1.1× 454 1.5× 248 1.3× 242 1.3× 72 1.4k
Mika Särkelä Finland 16 611 0.9× 934 1.6× 181 0.6× 496 2.5× 204 1.1× 36 1.6k
Seppo Mustola Finland 16 306 0.4× 475 0.8× 191 0.6× 171 0.9× 159 0.9× 26 822
Eric T. Pierce United States 18 789 1.1× 689 1.2× 452 1.4× 277 1.4× 499 2.8× 48 1.8k
Phillip E. Vlisides United States 21 401 0.6× 382 0.7× 157 0.5× 275 1.4× 296 1.6× 50 1.4k
Diederik Nieuwenhuijs Netherlands 16 220 0.3× 560 1.0× 249 0.8× 152 0.8× 220 1.2× 23 1.4k
Paul Picton United States 17 307 0.4× 334 0.6× 173 0.6× 140 0.7× 219 1.2× 37 900
Paul S. García United States 27 612 0.9× 960 1.7× 192 0.6× 711 3.6× 315 1.8× 94 2.4k
Jörgen Bruhn Netherlands 24 634 0.9× 1.5k 2.5× 922 3.0× 673 3.4× 522 2.9× 75 2.5k

Countries citing papers authored by Byung‐Moon Choi

Since Specialization
Citations

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

Fields of papers citing papers by Byung‐Moon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung‐Moon Choi. 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 Byung‐Moon Choi. The network helps show where Byung‐Moon Choi may publish in the future.

Co-authorship network of co-authors of Byung‐Moon Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Byung‐Moon Choi. A scholar is included among the top collaborators of Byung‐Moon Choi 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 Byung‐Moon Choi. Byung‐Moon Choi 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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Kim, Kyung Mi, et al.. (2025). External Validation of a Pharmacokinetic Model Developed for Vancomycin Administration via Target-Controlled Infusion. Drug Design Development and Therapy. Volume 19. 2229–2241.
3.
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Kim, Hyoungkyu, Byoung‐Kyong Min, UnCheol Lee, et al.. (2024). Electroencephalographic Features of Elderly Patients during Anesthesia Induction with Remimazolam: A Substudy of a Randomized Controlled Trial. Anesthesiology. 141(4). 681–692. 5 indexed citations
5.
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Choi, Jae Moon, et al.. (2024). Analysis of Photoplethysmography-Based Surgical Pain Severity Assessment Markers. Journal of Electrical Engineering and Technology. 19(6). 3665–3674. 1 indexed citations
7.
Kim, Kyung Mi, Ji‐Yeon Bang, Byung‐Moon Choi, & Gyu‐Jeong Noh. (2023). Assessment of explicit and implicit memories during remimazolam anaesthesia using the process dissociation procedure. European Journal of Anaesthesiology. 40(11). 833–840. 6 indexed citations
8.
Kim, Kyung Mi, et al.. (2022). Predictive performance of pharmacokinetic models for target concentration‐controlled infusion of cefoxitin as a prophylactic antibiotic in patients with colorectal surgery. Clinical and Experimental Pharmacology and Physiology. 49(10). 1126–1135. 3 indexed citations
9.
Kim, Kyung Mi, Soo-Kyung Park, Bong Jin Kang, et al.. (2021). Do epoch lengths of hypnotic depth indicators affect estimated of blood-brain equilibration rate constants of propofol?. Journal of Pharmacokinetics and Pharmacodynamics. 48(2). 305–317. 1 indexed citations
10.
Kwon, MiYoung, et al.. (2020). An allometric pharmacokinetic model and minimum effective analgesic concentration of fentanyl in patients undergoing major abdominal surgery. British Journal of Anaesthesia. 125(6). 976–985. 12 indexed citations
11.
Kang, Bong Jin, et al.. (2020). Quantitative analysis of the effect of fraction of inspired oxygen on peripheral oxygen saturation in healthy volunteers. Journal of Dental Anesthesia and Pain Medicine. 20(2). 73–73. 1 indexed citations
12.
Choi, Byung‐Moon, Yong‐Hun Lee, Chung Sik Gong, et al.. (2019). Effects of depth of neuromuscular block on postoperative pain during laparoscopic gastrectomy. European Journal of Anaesthesiology. 36(11). 863–870. 14 indexed citations
13.
Bang, Ji‐Yeon, et al.. (2019). Phase lag entropy as a hypnotic depth indicator during propofol sedation. Anaesthesia. 74(8). 1033–1040. 14 indexed citations
14.
Choi, Byung‐Moon, et al.. (2019). Evaluation of Surgical Pleth Index and Analgesia Nociception Index as surrogate pain measures in conscious postoperative patients: an observational study. Journal of Clinical Monitoring and Computing. 34(5). 1087–1093. 21 indexed citations
15.
Doh, Il, et al.. (2019). Predictive performance of a new pharmacokinetic model for propofol in underweight patients during target‐controlled infusion. Acta Anaesthesiologica Scandinavica. 63(4). 448–454. 14 indexed citations
16.
Doh, Il, et al.. (2019). Accuracy assessment of a PION TCI pump based on international standards. Anesthesia and Pain Medicine. 14(4). 407–411. 1 indexed citations
17.
Bang, Ji‐Yeon, et al.. (2019). Pharmacodynamic Analysis of the Influence of Propofol on Left Ventricular Long-Axis Systolic Performance in Cardiac Surgical Patients. Journal of Korean Medical Science. 34(16). 3 indexed citations
18.
Park, Ji Young, et al.. (2018). Transcortical photothrombotic pyramidotomy model with persistent motor deficits. PLoS ONE. 13(12). e0204842–e0204842. 1 indexed citations
19.
Choi, Byung Hyun, Byung Hyun Choi, Ji‐Yeon Bang, et al.. (2016). Comparison of the analgesic effect of patient‐controlled oxycodone and fentanyl for pain management in patients undergoing colorectal surgery. Clinical and Experimental Pharmacology and Physiology. 43(8). 745–752. 11 indexed citations
20.
Lee, UnCheol, et al.. (2013). Disruption of Frontal–Parietal Communication by Ketamine, Propofol, and Sevoflurane. Anesthesiology. 118(6). 1264–1275. 301 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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