Ji Eun Lim

745 citations
42 papers · 513 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic Associations and Epidemiology 17
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Nutrition, Genetics, and Disease 3
    • Congenital heart defects research 2

Ji Eun Lim

40 papers receiving 502 citations

Peers

Ji Eun Lim
Comparison fields: 5 of 89
  • Cancer Research 71
  • Genetics 109
  • Molecular Biology 203
  • Cardiology and Cardiovascular Medicine 51
  • Endocrinology, Diabetes and Metabolism 30
Replace Nadia Tinto with:
Nadia Tinto Italy
Johanne Marie Justesen Denmark
Samantha Laber United Kingdom
Na Zhou China
Helen Mundy United Kingdom
Hisayo Fujita Japan
Hangxiang Zhang China
Parth Patel United States
Tiziana Balbi Italy
Ji Eun Lim relative to Nadia Tinto Italy Nadia Tinto's profile →
Citations per field
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Citations per year

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-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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201847
3 200739
4 201033
5 201429
6 201827
7 201327
8 201322
9 202416
10 202016
11 201614
12 201412
13 201612
14 201712
15 202310
16 200910
17 201710
18 20189
19 20069
20 20198

About Ji Eun Lim

Ji Eun Lim is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 42 papers that have together received 513 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (17 papers), Liver Disease Diagnosis and Treatment (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Nutrition, Genetics, and Disease (3 papers), Alcohol Consumption and Health Effects (3 papers), Birth, Development, and Health (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Cancer Research (71 citations), Genetics (109 citations), Molecular Biology (203 citations), Cardiology and Cardiovascular Medicine (51 citations) and Endocrinology, Diabetes and Metabolism (30 citations). Ji Eun Lim has collaborated with scholars based in South Korea, United States and Japan. Frequent 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. Their work appears in journals such as PLoS ONE, Genetic Epidemiology, Scientific Reports, Frontiers in Genetics and Communications Biology.

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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