Ga‐Young Lim
- Electrical and Electronic Engineering
- Epidemiology
- Public Health, Environmental and Occupational Health
- Endocrinology, Diabetes and Metabolism
- Biomedical Engineering
- Co-authors
- Hyo Jae YoonJin‐Tae SuhWooin LeeMyeong Hee KimSo Young KangYoosoo ChangSeungho RyuYejin Kim
- Topics
- Menopause: Health Impacts and Treatments (8 papers)Nutritional Studies and Diet (4 papers)Multiple Myeloma Research and Treatments (3 papers)
- Partner nations
- South KoreaUnited StatesMalaysia
In The Last Decade
Ga‐Young Lim
37 papers receiving 333 citations
Peers
Comparison fields: 5 of 87
- Electrical and Electronic Engineering 97
- Epidemiology 69
- Public Health, Environmental and Occupational Health 61
- Endocrinology, Diabetes and Metabolism 53
- Biomedical Engineering 46
Countries citing papers authored by Ga‐Young Lim
This map shows the geographic impact of Ga‐Young Lim'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 Ga‐Young Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ga‐Young Lim more than expected).
Fields of papers citing papers by Ga‐Young Lim
This network shows the impact of papers produced by Ga‐Young Lim. 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 Ga‐Young Lim. The network helps show where Ga‐Young Lim may publish in the future.
Co-authorship network of co-authors of Ga‐Young Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Ga‐Young Lim. A scholar is included among the top collaborators of Ga‐Young Lim 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 Ga‐Young Lim. Ga‐Young Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 50 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 14 | |
| 19 | The Frequency and Distribution of Unexpected Antibodies in Transfusion Candidates with the Use of the Ortho BioVue System: Recent Four Year Experience | 3 |
| 20 | 7 |
About Ga‐Young Lim
Ga‐Young Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology and Genetics, having authored 40 papers that have together received 343 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (8 papers), Nutritional Studies and Diet (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (53 citations), Occupational Therapy (13 citations) and Hematology (34 citations). Ga‐Young Lim has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Hyo Jae Yoon, Jin‐Tae Suh, Wooin Lee, Myeong Hee Kim, So Young Kang, Yoosoo Chang, Seungho Ryu, Yejin Kim, Tae Sung Park and JunHo Kim. Their work appears in journals such as ACS Nano, Advanced Functional Materials and The Journal of Clinical Endocrinology & Metabolism.
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.