In‐Chang Hwang
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Jun‐Bean ParkYeonyee E. YoonHyung‐Kwan KimGoo‐Yeong ChoGoo-Yeong ChoSeung‐Pyo LeeJin Joo ParkJae‐Hyeong Park
- Topics
- Cardiovascular Function and Risk Factors (65 papers)Cardiac Imaging and Diagnostics (29 papers)Heart Failure Treatment and Management (25 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingEndocrinology, Diabetes and Metabolism
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
In‐Chang Hwang
124 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Cardiology and Cardiovascular Medicine 1.2k
- Surgery 363
- Radiology, Nuclear Medicine and Imaging 356
- Molecular Biology 247
- Endocrinology, Diabetes and Metabolism 204
Countries citing papers authored by In‐Chang Hwang
This map shows the geographic impact of In‐Chang Hwang'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 In‐Chang Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Chang Hwang more than expected).
Fields of papers citing papers by In‐Chang Hwang
This network shows the impact of papers produced by In‐Chang Hwang. 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 In‐Chang Hwang. The network helps show where In‐Chang Hwang may publish in the future.
Co-authorship network of co-authors of In‐Chang Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Chang Hwang. A scholar is included among the top collaborators of In‐Chang Hwang 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 In‐Chang Hwang. In‐Chang Hwang 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 | 0 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 19 | |
| 19 | 17 | |
| 20 | 4 |
About In‐Chang Hwang
In‐Chang Hwang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (65 papers), Cardiac Imaging and Diagnostics (29 papers) and Heart Failure Treatment and Management (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (356 citations) and Endocrinology, Diabetes and Metabolism (204 citations). In‐Chang Hwang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Jun‐Bean Park, Yeonyee E. Yoon, Hyung‐Kwan Kim, Goo‐Yeong Cho, Goo-Yeong Cho, Seung‐Pyo Lee, Jin Joo Park, Jae‐Hyeong Park, Hong‐Mi Choi and Hyue Mee Kim. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.