Gang-Jee Ko
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Transplantation top 5%
Papers in
- Nephrology 11
- Chronic Kidney Disease and Diabetes 4
- Dialysis and Renal Disease Management 4
- Acute Kidney Injury Research 2
- Surgery 4
- Co-authors
- Kamyar Kalantar‐Zadeh (2 shared papers)H. K. Kim (3 shared papers)H.-Y. Kim (2 shared papers)Connie M. Rhee (1 shared paper)Shivam Joshi (1 shared paper)Je Hyeong Kim (1 shared paper)Jin-Chul Ahn (1 shared paper)Sang‐Kyung Jo (5 shared papers)
- Journals
- Kidney Research and Clinical Practice (3 papers)Nephrology Dialysis Transplantation (3 papers)PLoS ONE (2 papers)Journal of Clinical Medicine (2 papers)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Gang-Jee Ko
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Nephrology 334
- Transplantation 45
- Bioengineering 75
- Immunology 208
- Endocrinology, Diabetes and Metabolism 119
Countries citing papers authored by Gang-Jee Ko
This map shows the geographic impact of Gang-Jee Ko'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 Gang-Jee Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang-Jee Ko more than expected).
Fields of papers citing papers by Gang-Jee Ko
This network shows the impact of papers produced by Gang-Jee Ko. 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 Gang-Jee Ko. The network helps show where Gang-Jee Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang-Jee Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 289 | |
| 2 | 2009 | 247 | |
| 3 | 2020 | 198 | |
| 4 | 2007 | 183 | |
| 5 | 2008 | 120 | |
| 6 | 2022 | 95 | |
| 7 | 2008 | 52 | |
| 8 | 2010 | 31 | |
| 9 | 2022 | 27 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2010 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Gang-Jee Ko
Gang-Jee Ko is a scholar working on Nephrology, Surgery, Molecular Biology, Epidemiology and Physiology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Dialysis and Renal Disease Management (4 papers), Renal Transplantation Outcomes and Treatments (2 papers), Bone health and osteoporosis research (2 papers), Graphene research and applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Bone and Joint Diseases (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Nephrology (334 citations), Transplantation (45 citations), Bioengineering (75 citations), Immunology (208 citations) and Endocrinology, Diabetes and Metabolism (119 citations). Gang-Jee Ko has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Kamyar Kalantar‐Zadeh, H. K. Kim, H.-Y. Kim, Connie M. Rhee, Shivam Joshi, Je Hyeong Kim, Jin-Chul Ahn, Sang‐Kyung Jo, Serena M. Bagnasco and Maria Teresa Gandolfo. Their work appears in journals such as Kidney Research and Clinical Practice, Nephrology Dialysis Transplantation, PLoS ONE, Journal of Clinical Medicine and Journal of the American Society of Nephrology.
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.