Ji Eun Lim
Impact in
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- Genetic Associations and Epidemiology
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- Cardiac electrophysiology and arrhythmias
- Blood Pressure and Hypertension Studies
Papers in
- Genetics 23
- Genetic Associations and Epidemiology 22
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- Blood Pressure and Hypertension Studies 5
- Cardiac electrophysiology and arrhythmias 5
- Co-authors
- Bermseok Oh (31 shared papers)Ji‐Yeon Kim (2 shared papers)Hae Hyun Jung (2 shared papers)Young‐Hyuck Im (2 shared papers)Ji‐One Kang (17 shared papers)Kyung‐Won Hong (6 shared papers)Mi Kyung Kim (7 shared papers)Hyun‐Seok Jin (4 shared papers)
- Journals
- PLoS ONE (4 papers)Communications Biology (4 papers)Scientific Reports (3 papers)Genetic Epidemiology (3 papers)Frontiers in Genetics (3 papers)
- Partner nations
- South KoreaJapanUnited Kingdom
In The Last Decade
Ji Eun Lim
40 papers receiving 551 citations
Peers
Comparison fields: 5 of 73
- Genetics 154
- Cardiology and Cardiovascular Medicine 87
- Cancer Research 37
- Molecular Biology 165
- Geometry and Topology 26
Countries citing papers authored by Ji Eun Lim
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
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-authors
The 25 scholars most cited alongside Ji Eun Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2018 | 59 | |
| 3 | 2007 | 40 | |
| 4 | 2014 | 36 | |
| 5 | 2010 | 32 | |
| 6 | 2018 | 31 | |
| 7 | 2013 | 26 | |
| 8 | 2013 | 21 | |
| 9 | 2020 | 21 | |
| 10 | 2024 | 19 | |
| 11 | 2014 | 14 | |
| 12 | 2016 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2009 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2006 | 9 | |
| 20 | 2015 | 9 |
About Ji Eun Lim
Ji Eun Lim is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 43 papers that have together received 568 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (22 papers), Blood Pressure and Hypertension Studies (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neonatal and fetal brain pathology (1 paper), Neurological Disease Mechanisms and Treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Innovations in Medical Education (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Genetics (154 citations), Cardiology and Cardiovascular Medicine (87 citations), Cancer Research (37 citations), Molecular Biology (165 citations) and Geometry and Topology (26 citations). Ji Eun Lim has collaborated with scholars based in South Korea, Japan and United Kingdom. Frequent co-authors include Bermseok Oh, Ji‐Yeon Kim, Hae Hyun Jung, Young‐Hyuck Im, Ji‐One Kang, Kyung‐Won Hong, Mi Kyung Kim, Hyun‐Seok Jin, Hun Kuk Park and Hyeon-Ju Lee. Their work appears in journals such as PLoS ONE, Communications Biology, Scientific Reports, Genetic Epidemiology and Frontiers in Genetics.
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.