Jung‐Hyun Choi
- Epidemiology top 2%
- Infectious Diseases top 2%
- Molecular Biology
- Oncology top 10%
- Clinical Biochemistry top 1%
- Co-authors
- Dong‐Gun LeeSu‐Mi ChoiJin‐Hong YooSun Hee ParkSung‐Yeon ChoSi‐Hyun KimDae‐Myung JueChulmin Park
- Topics
- Antifungal resistance and susceptibility (21 papers)Fungal Infections and Studies (20 papers)Neutropenia and Cancer Infections (18 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jung‐Hyun Choi
110 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 131
- Epidemiology 1.1k
- Infectious Diseases 934
- Molecular Biology 452
- Oncology 387
- Clinical Biochemistry 386
Countries citing papers authored by Jung‐Hyun Choi
This map shows the geographic impact of Jung‐Hyun Choi'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 Jung‐Hyun Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐Hyun Choi more than expected).
Fields of papers citing papers by Jung‐Hyun Choi
This network shows the impact of papers produced by Jung‐Hyun Choi. 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 Jung‐Hyun Choi. The network helps show where Jung‐Hyun Choi may publish in the future.
Co-authorship network of co-authors of Jung‐Hyun Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Hyun Choi. A scholar is included among the top collaborators of Jung‐Hyun Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jung‐Hyun Choi. Jung‐Hyun Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 78 | |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 30 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 시험관내 약역학 감염모델을 이용한 Methicillin 내성 포도알균 실험 중 출현한 Small Colony Variants 생성억제를 위한 Arbekacin의 효과 | 2 |
| 18 | Itraconazole Oral Solution versus Fluconazole Syrup for Prevention of Invasive Fungal Infections in Patients Receiving Hematopoietic Stem Cell Transplantation: Prospective, Randomized, Comparative Clinical Trial | 7 |
| 19 | A Case of Disseminated Cryptococcosis in an Immunocompetent Adult | 1 |
| 20 | Efficacies of Teicoplanin in Patients with Febrile Neutropenia | 2 |
About Jung‐Hyun Choi
Jung‐Hyun Choi is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (21 papers), Fungal Infections and Studies (20 papers) and Neutropenia and Cancer Infections (18 papers). The work is most often cited by research in Molecular Medicine (347 citations), Clinical Biochemistry (386 citations) and Infectious Diseases (934 citations). Jung‐Hyun Choi has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Dong‐Gun Lee, Su‐Mi Choi, Jin‐Hong Yoo, Sun Hee Park, Sung‐Yeon Cho, Si‐Hyun Kim, Dae‐Myung Jue, Chulmin Park, Hyo-Jin Lee and Wan‐Shik Shin. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Biochemical and Biophysical Research 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.