Gi‐Ae Kim
- Epidemiology top 2%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Molecular Biology
- Co-authors
- Young‐Suk LimSeungbong HanHan Chu LeeJu Hyun ShimKang Mo KimJonggi ChoiJihyun AnYung Sang Lee
- Topics
- Liver Disease Diagnosis and Treatment (30 papers)Hepatitis B Virus Studies (20 papers)Hepatitis C virus research (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineGastroenterology
- Partner nations
- South KoreaUnited StatesNigeria
In The Last Decade
Gi‐Ae Kim
40 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Epidemiology 1.3k
- Hepatology 1.1k
- Endocrinology, Diabetes and Metabolism 144
- Cancer Research 134
- Molecular Biology 117
Countries citing papers authored by Gi‐Ae Kim
This map shows the geographic impact of Gi‐Ae 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 Gi‐Ae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gi‐Ae Kim more than expected).
Fields of papers citing papers by Gi‐Ae Kim
This network shows the impact of papers produced by Gi‐Ae 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 Gi‐Ae Kim. The network helps show where Gi‐Ae Kim may publish in the future.
Co-authorship network of co-authors of Gi‐Ae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Gi‐Ae Kim. A scholar is included among the top collaborators of Gi‐Ae Kim 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 Gi‐Ae Kim. Gi‐Ae Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | Critical appraisal of metabolic dysfunction-associated steatotic liver disease: Implication of Janus-faced modernitybreakdown → | 82 |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 48 | |
| 16 | 26 | |
| 17 | 64 | |
| 18 | 100 | |
| 19 | Tenofovir Monotherapy in Chronic Hepatitis B Patients with Genotypic Resistance to Previous Antiviral Therapy | 1 |
| 20 | HBSAG Seroclearance after Nucleoside Analogue Therapy in Patients with Chronic Hepatitis B | 2 |
About Gi‐Ae Kim
Gi‐Ae Kim is a scholar working on Hepatology, Epidemiology and Transplantation, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (30 papers), Hepatitis B Virus Studies (20 papers) and Hepatitis C virus research (19 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.3k citations) and Cancer Research (134 citations). Gi‐Ae Kim has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Young‐Suk Lim, Seungbong Han, Han Chu Lee, Ju Hyun Shim, Kang Mo Kim, Jonggi Choi, Jihyun An, Yung Sang Lee, Danbi Lee and Young-Hwa Chung. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Gastroenterology.
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.