Jong‐Lyul Ghim

891 citations
58 papers · 673 · h-index 15

Impact in

Papers in

Jong‐Lyul Ghim

56 papers receiving 658 citations

Peers

Jong‐Lyul Ghim
Comparison fields: 5 of 93
  • Health Informatics 19
  • Pharmacology 102
  • Pharmacology 107
  • Anesthesiology and Pain Medicine 28
  • Endocrinology, Diabetes and Metabolism 63
Replace Xiao‐cong Zuo with:
Xiao‐cong Zuo China
Yow‐Wen Hsieh Taiwan
Yoh Takekuma Japan
Kuntheavy Ing Lorenzini Switzerland
Sony Tuteja United States
Natalie Dayneka Canada
Chandrahas Sahajwalla United States
SoJeong Yi South Korea
Kyoung Soo Lim South Korea
Chenrong Huang China
Jong‐Lyul Ghim relative to Xiao‐cong Zuo China Xiao‐cong Zuo's profile →
Citations per field
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Xiao‐cong Zuo · 1×
Citations per year

Countries citing papers authored by Jong‐Lyul Ghim

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Lyul Ghim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Lyul Ghim. 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 Jong‐Lyul Ghim. The network helps show where Jong‐Lyul Ghim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201488
2 201055
3 201046
4 201536
5 202332
6 202026
7 202120
8 201519
9 201518
10 201417
11 201316
12 202115
13 201914
14 201314
15 201314
16 201314
17 201413
18 201513
19 202311
20 202010

About Jong‐Lyul Ghim

Jong‐Lyul Ghim is a scholar working on Pharmacology, Pharmacology, Cardiology and Cardiovascular Medicine, Oncology and Surgery, having authored 58 papers that have together received 673 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Blood Pressure and Hypertension Studies (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Tuberculosis Research and Epidemiology (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Health Informatics (19 citations), Pharmacology (102 citations), Pharmacology (107 citations), Anesthesiology and Pain Medicine (28 citations) and Endocrinology, Diabetes and Metabolism (63 citations). Jong‐Lyul Ghim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Jae‐Gook Shin, Dong‐Hyun Kim, Sangzin Ahn, Kyun‐Seop Bae, Sang‐Heon Cho, Eun‐Young Kim, Jin Ah Jung, Hyeong-Seok Lim, Minkyung Oh and Hyun-Mi Kim. Their work appears in journals such as The Journal of Clinical Pharmacology, Drug Design Development and Therapy, Clinical Therapeutics, British Journal of Clinical Pharmacology and Pharmacogenetics and Genomics.

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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