Hye‐Lin Kim

1.4k citations
59 papers · 1.1k · h-index 22

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 12
    • Adipokines, Inflammation, and Metabolic Diseases 9
    • Adipose Tissue and Metabolism 10

Hye‐Lin Kim

56 papers receiving 1.1k citations

Peers

Hye‐Lin Kim
Comparison fields: 5 of 100
  • Hepatology 138
  • Geriatrics and Gerontology 46
  • Epidemiology 291
  • Biochemistry 54
  • Urology 51
Replace Jie Shen with:
Jie Shen China
Tsutomu Yamashita Japan
Tung Ming Leung United States
Cristina Ester Carnovale Argentina
Eun Sil Kang South Korea
Paul Kwan United States
Gerardo Bruno Pisani Argentina
Maximilian Hatting Germany
Nermin Abdel Hamid Sadik Egypt
Hye‐Lin Kim relative to Jie Shen China Jie Shen's profile →
Citations per field
00.5×2×4×6×8.5×
Jie Shen · 1×
Citations per year

Countries citing papers authored by Hye‐Lin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hye‐Lin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye‐Lin Kim. 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 Hye‐Lin Kim. The network helps show where Hye‐Lin Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 201870
3 201159
4 201854
5 201950
6 201746
7 201642
8 201239
9 201835
10 202035
11 201434
12 201434
13 201128
14 200726
15 201326
16 201526
17 201626
18 201625
19 201725
20 201725

About Hye‐Lin Kim

Hye‐Lin Kim is a scholar working on Epidemiology, Physiology, Geriatrics and Gerontology, Hepatology and Pharmacology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Sirtuins and Resveratrol in Medicine (4 papers), Urinary Bladder and Prostate Research (4 papers), Pharmacy and Medical Practices (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Hepatology (138 citations), Geriatrics and Gerontology (46 citations), Epidemiology (291 citations), Biochemistry (54 citations) and Urology (51 citations). Hye‐Lin Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jae‐Young Um, Yunu Jung, Jinbong Park, Kwang Seok Ahn, Eui‐Kyung Lee, Seung‐Heon Hong, Dong‐Hyun Youn, Mi‐Young Jeong, JongWook Kang and Young‐Suk Lim. Their work appears in journals such as Frontiers in Pharmacology, Clinical and Molecular Hepatology, Scientific Reports, Nutrients and Immunopharmacology and Immunotoxicology.

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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