Jae Eun Ahn

660 total citations
15 papers, 532 citations indexed

About

Jae Eun Ahn is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Oncology. According to data from OpenAlex, Jae Eun Ahn has authored 15 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pediatrics, Perinatology and Child Health, 4 papers in Psychiatry and Mental health and 3 papers in Oncology. Recurrent topics in Jae Eun Ahn's work include Epilepsy research and treatment (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Jae Eun Ahn is often cited by papers focused on Epilepsy research and treatment (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Jae Eun Ahn collaborates with scholars based in United States, South Korea and Sweden. Jae Eun Ahn's co-authors include Mats O. Karlsson, Thomas M. Ludden, Adrian Dunne, Jonathan French, Richard C. Brundage, Angela K. Birnbaum, Ilo E. Leppik, Nancy A. Hardie, Jeannine M. Conway and Raymond Miller and has published in prestigious journals such as Neurology, Clinical Pharmacology & Therapeutics and Journal of Alzheimer s Disease.

In The Last Decade

Jae Eun Ahn

15 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Eun Ahn United States 10 142 110 90 78 66 15 532
Elodie L. Plan Sweden 15 89 0.6× 108 1.0× 107 1.2× 82 1.1× 164 2.5× 36 752
Carol Cronenberger United States 13 135 1.0× 57 0.5× 101 1.1× 44 0.6× 46 0.7× 28 540
Chandrahas Sahajwalla United States 14 169 1.2× 40 0.4× 118 1.3× 88 1.1× 75 1.1× 44 771
Eric Snoeck Belgium 18 96 0.7× 154 1.4× 103 1.1× 114 1.5× 54 0.8× 44 1.1k
Daniël M. Jonker Denmark 10 180 1.3× 152 1.4× 142 1.6× 98 1.3× 45 0.7× 19 890
Jill Fiedler‐Kelly United States 13 101 0.7× 121 1.1× 161 1.8× 77 1.0× 54 0.8× 47 653
Ulrika Wählby Sweden 7 93 0.7× 48 0.4× 90 1.0× 100 1.3× 132 2.0× 8 598
Partha Nandy United States 18 86 0.6× 128 1.2× 215 2.4× 40 0.5× 55 0.8× 45 950
Alison E. Fohner United States 18 122 0.9× 65 0.6× 107 1.2× 148 1.9× 24 0.4× 47 962
Manoranjenni Chetty United Kingdom 18 179 1.3× 141 1.3× 88 1.0× 205 2.6× 44 0.7× 41 953

Countries citing papers authored by Jae Eun Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jae Eun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Eun Ahn. 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 Jae Eun Ahn. The network helps show where Jae Eun Ahn may publish in the future.

Co-authorship network of co-authors of Jae Eun Ahn

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

All Works

15 of 15 papers shown
1.
Um, Jumyung, et al.. (2025). Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study. Psychiatry Investigation. 22(2). 156–166. 1 indexed citations
2.
Ahn, Jae Eun, Steven G. Terra, & Jing Liu. (2023). A population pharmacokinetic and pharmacokinetic‐pharmacodynamic analysis of vupanorsen from phase I and phase II studies. CPT Pharmacometrics & Systems Pharmacology. 12(7). 988–1000. 4 indexed citations
3.
Jeong, Hyewon, et al.. (2022). Comparison of Patterns of Non-suicidal Self-Injury and Emotion Dysregulation Across Mood Disorder Subtypes. Frontiers in Psychiatry. 13. 757933–757933. 11 indexed citations
4.
Ahn, Jae Eun, Terence Fullerton, Éva Hajós‐Korcsok, et al.. (2019). Pharmacokinetic and Pharmacodynamic Effects of a γ‐Secretase Modulator, PF‐06648671, on CSF Amyloid‐β Peptides in Randomized Phase I Studies. Clinical Pharmacology & Therapeutics. 107(1). 211–220. 24 indexed citations
5.
6.
Ahn, Jae Eun, Sai Praneeth Bathena, Richard C. Brundage, et al.. (2018). Iron supplements in nursing home patients associated with reduced carbamazepine absorption. Epilepsy Research. 147. 115–118. 4 indexed citations
7.
8.
Ahn, Jae Eun, et al.. (2014). Modeling of the Parathyroid Hormone Response after Calcium Intake in Healthy Subjects. Korean Journal of Physiology and Pharmacology. 18(3). 217–217. 2 indexed citations
9.
Ahn, Jae Eun, Elodie L. Plan, Mats O. Karlsson, & Raymond Miller. (2011). Modeling Longitudinal Daily Seizure Frequency Data From Pregabalin Add‐On Treatment. The Journal of Clinical Pharmacology. 52(6). 880–892. 17 indexed citations
10.
Gastonguay, Marc R., Jonathan French, Daniel F. Heitjan, et al.. (2010). Missing Data in Model‐Based Pharmacometric Applications: Points to Consider. The Journal of Clinical Pharmacology. 50(S9). 63S–74S. 22 indexed citations
11.
Ahn, Jae Eun & Jonathan French. (2010). Longitudinal aggregate data model-based meta-analysis with NONMEM: approaches to handling within treatment arm correlation. Journal of Pharmacokinetics and Pharmacodynamics. 37(2). 179–201. 52 indexed citations
12.
Ahn, Jae Eun, Mats O. Karlsson, Adrian Dunne, & Thomas M. Ludden. (2008). Likelihood based approaches to handling data below the quantification limit using NONMEM VI. Journal of Pharmacokinetics and Pharmacodynamics. 35(4). 401–421. 274 indexed citations
13.
Ahn, Jae Eun, James C. Cloyd, Richard C. Brundage, et al.. (2008). Phenytoin half-life and clearance during maintenance therapy in adults and elderly patients with epilepsy. Neurology. 71(1). 38–43. 28 indexed citations
14.
Birnbaum, Angela K., Jae Eun Ahn, Richard C. Brundage, et al.. (2007). Population Pharmacokinetics of Valproic Acid Concentrations in Elderly Nursing Home Residents. Therapeutic Drug Monitoring. 29(5). 571–575. 27 indexed citations
15.
Ahn, Jae Eun, Angela K. Birnbaum, & Richard C. Brundage. (2005). Inherent Correlation Between Dose and Clearance in Therapeutic Drug Monitoring Settings: Possible Misinterpretation in Population Pharmacokinetic Analyses. Journal of Pharmacokinetics and Pharmacodynamics. 32(5-6). 703–718. 48 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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