Kichul Ko
- Nephrology top 5%
- Renal Diseases and Glomerulopathies 3
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 12
- Immunology top 10%
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 3
- Atherosclerosis and Cardiovascular Diseases 3
- Transplantation top 10%
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- Pancreatic and Hepatic Oncology Research 2
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- Monoclonal and Polyclonal Antibodies Research 4
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- Medical Imaging and Pathology Studies 2
- Co-authors
- Marcus R. ClarkAnthony ChangTimothy B. NiewoldElizabeth RosenzweigJames MerlinoChristopher R. McHenryCandace M. ChamYelena Koldobskaya
- Cited by
- NephrologyRheumatologyImmunology
- Journals
- Journal of Clinical Investigation (2 papers)Arthritis & Rheumatology (2 papers)The American Surgeon (1 paper)
- Partner nations
- United StatesJapanHong Kong
In The Last Decade
Kichul Ko
19 papers receiving 493 citations
Peers
Comparison fields: 5 of 59
- Nephrology 158
- Rheumatology 231
- Immunology 253
- Transplantation 24
- Oncology 75
Countries citing papers authored by Kichul Ko
This map shows the geographic impact of Kichul 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 Kichul Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kichul Ko more than expected).
Fields of papers citing papers by Kichul Ko
This network shows the impact of papers produced by Kichul 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 Kichul Ko. The network helps show where Kichul Ko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kichul 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 7 | |
| 7 | 2016 | 20 | |
| 8 | 2015 | 40 | |
| 9 | 2014 | 60 | |
| 10 | 2014 | 88 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 51 | |
| 13 | 2012 | 28 | |
| 14 | 2012 | 13 | |
| 15 | 2012 | 44 | |
| 16 | 2009 | 6 | |
| 17 | The false negative technetium-99m-sestamibi scan in patients with primary hyperparathyroidism: correlation with clinical factors and operative findings. | 2003 | 35 |
| 18 | 2003 | 32 | |
| 19 | 2001 | 2 | |
| 20 | 1993 | 1 |
About Kichul Ko
Kichul Ko is a scholar working on Rheumatology, Nephrology, Immunology, Family Practice and Transplantation, having authored 20 papers that have together received 498 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (12 papers), T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (3 papers), Renal Diseases and Glomerulopathies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Medical Imaging and Pathology Studies (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Nephrology (158 citations), Rheumatology (231 citations), Immunology (253 citations), Transplantation (24 citations) and Oncology (75 citations). Kichul Ko has collaborated with scholars based in United States, Japan and Hong Kong. Frequent co-authors include Marcus R. Clark, Anthony Chang, Timothy B. Niewold, Elizabeth Rosenzweig, James Merlino, Christopher R. McHenry, Candace M. Cham, Yelena Koldobskaya, Zhongbo Jin and Shruti Sharma. Their work appears in journals such as Journal of Clinical Investigation, Arthritis & Rheumatology, The American Surgeon, Journal of Autoimmunity and Nature Communications.
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.