Hangil Chang
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Nutrition and Dietetics top 10%
- Magnesium in Health and Disease
Papers in
-
- Ion Transport and Channel Regulation 6
- Ion channel regulation and function 5
- Machine Learning in Bioinformatics 1
-
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Toshiro Fujita (7 shared papers)Ryo Okazaki (1 shared paper)Sumiyo Watanabe (1 shared paper)Seiji Fukumoto (1 shared paper)Yukihiro Hasegawa (1 shared paper)Yasuhiro Takeuchi (1 shared paper)Noriko Chikatsu (1 shared paper)Kiyoshi Kurokawa (7 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (5 papers)Biochemical and Biophysical Research Communications (2 papers)Pflügers Archiv - European Journal of Physiology (1 paper)The Journal of Membrane Biology (1 paper)Journal of Hypertension (1 paper)
- Partner nations
- JapanSouth KoreaUnited Kingdom
In The Last Decade
Hangil Chang
18 papers receiving 610 citations
Peers
Comparison fields: 5 of 75
- Nephrology 185
- Nutrition and Dietetics 112
- Biochemistry 41
- Molecular Biology 342
- Endocrinology, Diabetes and Metabolism 73
Countries citing papers authored by Hangil Chang
This map shows the geographic impact of Hangil Chang'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 Hangil Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangil Chang more than expected).
Fields of papers citing papers by Hangil Chang
This network shows the impact of papers produced by Hangil Chang. 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 Hangil Chang. The network helps show where Hangil Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hangil Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 272 | |
| 2 | 1990 | 62 | |
| 3 | 2007 | 61 | |
| 4 | 2005 | 35 | |
| 5 | 1995 | 25 | |
| 6 | 1999 | 25 | |
| 7 | 1996 | 23 | |
| 8 | 1996 | 23 | |
| 9 | 1991 | 23 | |
| 10 | 2001 | 20 | |
| 11 | 1999 | 17 | |
| 12 | 2001 | 16 | |
| 13 | 1995 | 10 | |
| 14 | 1996 | 10 | |
| 15 | 1988 | 3 | |
| 16 | 1995 | 3 | |
| 17 | 1985 | 1 | |
| 18 | 1996 | 1 |
About Hangil Chang
Hangil Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Nephrology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 630 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (6 papers), Ion channel regulation and function (5 papers), Electrolyte and hormonal disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Liver Disease and Transplantation (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Nephrology (185 citations), Nutrition and Dietetics (112 citations), Biochemistry (41 citations), Molecular Biology (342 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Hangil Chang has collaborated with scholars based in Japan, South Korea and United Kingdom. Frequent co-authors include Toshiro Fujita, Ryo Okazaki, Sumiyo Watanabe, Seiji Fukumoto, Yukihiro Hasegawa, Yasuhiro Takeuchi, Noriko Chikatsu, Kiyoshi Kurokawa, Takatoshi Okuda and Hyun Joon Kim. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Biochemical and Biophysical Research Communications, Pflügers Archiv - European Journal of Physiology, The Journal of Membrane Biology and Journal of Hypertension.
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.