Ji Eun Lim

731 total citations
42 papers, 486 citations indexed

About

Ji Eun Lim is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ji Eun Lim has authored 42 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 15 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ji Eun Lim's work include Genetic Associations and Epidemiology (19 papers), Liver Disease Diagnosis and Treatment (7 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Ji Eun Lim is often cited by papers focused on Genetic Associations and Epidemiology (19 papers), Liver Disease Diagnosis and Treatment (7 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Ji Eun Lim collaborates with scholars based in South Korea, United States and Japan. Ji Eun Lim's co-authors include Bermseok Oh, Ji‐Yeon Kim, Hae Hyun Jung, Young‐Hyuck Im, Ji‐One Kang, Kyung‐Won Hong, Hyun‐Seok Jin, Mi Kyung Kim, Hun Kuk Park and Hyeon-Ju Lee and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Ji Eun Lim

38 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Eun Lim South Korea 13 223 118 79 61 55 42 486
Bing Xiao China 13 272 1.2× 185 1.6× 68 0.9× 44 0.7× 62 1.1× 70 598
Jiangtao Yan China 12 159 0.7× 56 0.5× 64 0.8× 90 1.5× 66 1.2× 23 460
Hideyuki Negoro Japan 10 188 0.8× 56 0.5× 34 0.4× 54 0.9× 77 1.4× 21 459
Johanne Marie Justesen Denmark 14 162 0.7× 240 2.0× 65 0.8× 83 1.4× 68 1.2× 20 531
Bozena Krolewski United States 12 200 0.9× 105 0.9× 41 0.5× 43 0.7× 58 1.1× 26 468
Jayashree Shanker United Kingdom 17 169 0.8× 137 1.2× 58 0.7× 109 1.8× 109 2.0× 38 604
Ashley Beecham United States 17 174 0.8× 164 1.4× 73 0.9× 184 3.0× 80 1.5× 48 723
Ferhan Siddiqi Canada 11 280 1.3× 34 0.3× 65 0.8× 46 0.8× 63 1.1× 22 560
Samantha Laber United Kingdom 8 273 1.2× 78 0.7× 75 0.9× 41 0.7× 46 0.8× 12 444

Countries citing papers authored by Ji Eun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ji Eun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Eun Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Eun Lim. A scholar is included among the top collaborators of Ji Eun Lim 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 Ji Eun Lim. Ji Eun Lim 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
1.
Jung, Hyein, et al.. (2025). Assessment of polygenic risk score performance in East Asian populations for ten common diseases. Communications Biology. 8(1). 374–374.
2.
Lim, Ji Eun, et al.. (2025). Kaposi’s sarcoma occurring in a glioblastoma multiforme on temozolomide. Dermatologica Sinica. 43(1). 71–72.
3.
Jung, Hyein, et al.. (2024). Integration of risk factor polygenic risk score with disease polygenic risk score for disease prediction. Communications Biology. 7(1). 180–180. 12 indexed citations
4.
Kim, Dong Jun, et al.. (2023). Gene-environment interaction explains a part of missing heritability in human body mass index. Communications Biology. 6(1). 324–324. 7 indexed citations
5.
Kang, Ji‐One, Ji Eun Lim, Won Jun Lee, et al.. (2023). Genetic differences according to onset age and lung function in asthma: A cluster analysis. Clinical and Translational Allergy. 13(7). e12282–e12282. 4 indexed citations
6.
Lim, Ji Eun, et al.. (2023). Genetic Risk Score for Prediction of Coronary Heart Disease in the Korean Genome and Epidemiology Study. Reviews in Cardiovascular Medicine. 24(4). 102–102. 1 indexed citations
7.
Jung, Hyein, et al.. (2023). Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits. Frontiers in Genetics. 14. 1150889–1150889.
9.
Kim, Dong Jun, et al.. (2022). Identification of five genetic variants with differential effects on obesity-related traits based on age. Frontiers in Genetics. 13. 970657–970657. 2 indexed citations
10.
Lee, Won Jun, Ji‐One Kang, Mi Kyung Kim, et al.. (2021). Identification of genetic loci affecting body mass index through interaction with multiple environmental factors using structured linear mixed model. Scientific Reports. 11(1). 5001–5001. 2 indexed citations
11.
Rhee, Sang Youl, Suk Chon, Kyu Jeung Ahn, et al.. (2018). Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population. Scientific Reports. 8(1). 15958–15958. 9 indexed citations
12.
Kim, Ji‐Yeon, Ji Eun Lim, Hae Hyun Jung, et al.. (2018). Validation of the new AJCC eighth edition of the TNM classification for breast cancer with a single-center breast cancer cohort. Breast Cancer Research and Treatment. 171(3). 737–745. 27 indexed citations
13.
Kim, Mi Kyung, Sukyoung Jung, Ji Eun Lim, et al.. (2017). Interaction of iron status with single nucleotide polymorphisms on incidence of type 2 diabetes. PLoS ONE. 12(4). e0175681–e0175681. 12 indexed citations
14.
Lee, Hyeon-Ju, Ji‐One Kang, So‐Yon Park, et al.. (2016). Gene Silencing and Haploinsufficiency of Csk Increase Blood Pressure. PLoS ONE. 11(1). e0146841–e0146841. 14 indexed citations
15.
Lee, Hyeon-Ju, et al.. (2014). ANTXR2 is a potential causative gene in the genome-wide association study of the blood pressure locus 4q21. Hypertension Research. 37(9). 811–817. 12 indexed citations
16.
Lim, Ji Eun, Hyeon-Ju Lee, So‐Yon Park, et al.. (2013). Silencing of Atp2b1 increases blood pressure through vasoconstriction. Journal of Hypertension. 31(8). 1575–1583. 22 indexed citations
17.
Lim, Ji Eun, et al.. (2010). Type 2 diabetes genetic association database manually curated for the study design and odds ratio. BMC Medical Informatics and Decision Making. 10(1). 76–76. 31 indexed citations
18.
Ko, Young Jin, et al.. (2007). Interexaminer Reliability and Accuracy of Posterior Superior Iliac Spine and Iliac Crest Palpation for Spinal Level Estimations. Journal of Manipulative and Physiological Therapeutics. 30(5). 386–389. 39 indexed citations
19.
Park, Su Hyun, et al.. (2006). Neonatal Brain Damage Following Prolonged Latency after Preterm Premature Rupture of Membranes. Journal of Korean Medical Science. 21(3). 485–485. 9 indexed citations
20.
Lim, Ji Eun, et al.. (2004). Hip Subluxation according to Neuromotor Type and Motor Quotient in Patients with Cerebral Palsy. Annals of Rehabilitation Medicine. 28(2). 126–131. 1 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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