Jae Eun Ahn

15 papers receiving 523 citations

Peers

Jae Eun Ahn
Comparison fields: 5 of 91
  • Transplantation 22
  • Statistics and Probability 66
  • Psychiatry and Mental health 110
  • Pediatrics, Perinatology and Child Health 142
  • Pharmacology 90
Replace Daniël M. Jonker with:
Daniël M. Jonker Denmark
Chandrahas Sahajwalla United States
Ulrika Wählby Sweden
Elodie L. Plan Sweden
Christian Laveille France
Samer Mouksassi United States
Eric Snoeck Belgium
Manoranjenni Chetty South Africa
Julie Bertrand France
Dolly A. Parasrampuria United States
Jae Eun Ahn relative to Daniël M. Jonker Denmark Daniël M. Jonker's profile →
Citations per field
00.5×1.5×
Daniël M. Jonker · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jae Eun Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jae Eun Ahn Line = papers co-authored together Jae Eun Ahn links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008274
2 201052
3 200548
4 200828
5 200727
6 201924
7 201022
8 201117
9 201917
10 202211
11 20234
12 20184
13 20142
14 20251
15 20171

About Jae Eun Ahn

Jae Eun Ahn is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health, Oncology, Physiology and Statistics and Probability, having authored 15 papers that have together received 532 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (4 papers), Epilepsy research and treatment (4 papers), Statistical Methods and Bayesian Inference (3 papers), Alzheimer's disease research and treatments (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Statistical Methods in Clinical Trials (3 papers), Computational Drug Discovery Methods (2 papers) and Suicide and Self-Harm Studies (2 papers). The work is most often cited by research in Transplantation (22 citations), Statistics and Probability (66 citations), Psychiatry and Mental health (110 citations), Pediatrics, Perinatology and Child Health (142 citations) and Pharmacology (90 citations). Jae Eun Ahn has collaborated with scholars based in United States, South Korea and Sweden. Frequent 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 Elodie L. Plan. Their work appears in journals such as Journal of Pharmacokinetics and Pharmacodynamics, The Journal of Clinical Pharmacology, Alzheimer s & Dementia, Frontiers in Psychiatry and CPT Pharmacometrics & Systems Pharmacology.

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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