Youngshim Choi
- Epidemiology top 5%
- Molecular Biology
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Taesun ParkMohamed A. AbdelmegeedByoung‐Joon SongSoyoung KimSo‐Young ParkMohammed AkbarSeung-Kwon HaSeung-Jin Kim
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Adipose Tissue and Metabolism (11 papers)Adipokines, Inflammation, and Metabolic Diseases (8 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Youngshim Choi
44 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Epidemiology 606
- Molecular Biology 570
- Physiology 529
- Endocrinology, Diabetes and Metabolism 276
- Pathology and Forensic Medicine 201
Countries citing papers authored by Youngshim Choi
This map shows the geographic impact of Youngshim 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 Youngshim Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngshim Choi more than expected).
Fields of papers citing papers by Youngshim Choi
This network shows the impact of papers produced by Youngshim 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 Youngshim Choi. The network helps show where Youngshim Choi may publish in the future.
Co-authorship network of co-authors of Youngshim Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Youngshim Choi. A scholar is included among the top collaborators of Youngshim 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 Youngshim Choi. Youngshim 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 | 27 | |
| 2 | 54 | |
| 3 | 7 | |
| 4 | 39 | |
| 5 | 69 | |
| 6 | 15 | |
| 7 | 66 | |
| 8 | 48 | |
| 9 | 31 | |
| 10 | 87 | |
| 11 | 45 | |
| 12 | 66 | |
| 13 | 86 | |
| 14 | 277 | |
| 15 | 94 | |
| 16 | 42 | |
| 17 | 8 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | Study on the selection efficiencies of early egg mass for improving egg production in layers. | 0 |
About Youngshim Choi
Youngshim Choi is a scholar working on Geriatrics and Gerontology, Epidemiology and Animal Science and Zoology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Adipose Tissue and Metabolism (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). The work is most often cited by research in Geriatrics and Gerontology (171 citations), Biochemistry (135 citations) and Pharmacology (187 citations). Youngshim Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Taesun Park, Mohamed A. Abdelmegeed, Byoung‐Joon Song, Soyoung Kim, So‐Young Park, Mohammed Akbar, Seung-Kwon Ha, Seung-Jin Kim, Soo‐Jong Um and Seung Kew Yoon. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.
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.