Da‐Hee Jeong

648 citations
33 papers · 534 · h-index 14

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Drug-Induced Hepatotoxicity and Protection

Papers in

Da‐Hee Jeong

28 papers receiving 503 citations

Peers

Da‐Hee Jeong
Comparison fields: 5 of 102
  • Hepatology 93
  • Pharmacology 81
  • Biomaterials 41
  • Molecular Medicine 15
  • Epidemiology 82
Replace Satish K. Mandlik with:
Satish K. Mandlik India
Yinghong Li China
Vinícius Barreto Garcia Brazil
Xiaotian Li China
Trọng Tuân Nguyễn Vietnam
Sarinj Fattah Ireland
Juliana G. Szakacs United States
Fuyuan Zhou China
Ruiyan Pan China
Da‐Hee Jeong relative to Satish K. Mandlik India Satish K. Mandlik's profile →
Citations per field
00.5×1.5×2.0×
Satish K. Mandlik · 1×
Citations per year

Countries citing papers authored by Da‐Hee Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Hee Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Hee Jeong. 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 Da‐Hee Jeong. The network helps show where Da‐Hee Jeong may publish in the future.

Co-authors

The 25 scholars most cited alongside Da‐Hee Jeong, 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 Da‐Hee Jeong Line = papers co-authored together Da‐Hee Jeong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200578
2 201563
3 201451
4 200741
5
Diagnostic evaluation of carbon tetrachloride-induced rat hepatic cirrhosis model.
200541
6 201632
7 200830
8 200124
9 202123
10
Kinetics of MMP-1 and MMP-3 produced by mast cells and macrophages in liver fibrogenesis of rat.
200617
11 200816
12 200113
13 200713
14 201313
15 201710
16 20138
17 20158
18 20057
19 20106
20 20186

About Da‐Hee Jeong

Da‐Hee Jeong is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Physiology, Surgery and Epidemiology, having authored 33 papers that have together received 534 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver physiology and pathology (3 papers), Renal and related cancers (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Congenital Anomalies and Fetal Surgery (2 papers), Alcohol Consumption and Health Effects (2 papers) and Vitamin C and Antioxidants Research (2 papers). The work is most often cited by research in Hepatology (93 citations), Pharmacology (81 citations), Biomaterials (41 citations), Molecular Medicine (15 citations) and Epidemiology (82 citations). Da‐Hee Jeong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyu‐Shik Jeong, Dongwon Lee, Sun Hee, Gilson Khang, Won‐Il Jeong, Il‐Hwa Hong, Mi‐Ran Ki, Jin‐Kyu Park, Changsun Kang and Ji-Hye Kim. Their work appears in journals such as Molecular and Cellular Biochemistry, International Journal of Molecular Sciences, Journal of Radiation Research, Scientific Reports and Nature Communications.

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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