Kai Jiang
Impact in
- Aging top 10%
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Renal and Vascular Pathologies 14
-
- MRI in cancer diagnosis 12
- Advanced MRI Techniques and Applications 6
- Co-authors
- Lilach O. Lerman (20 shared papers)Christopher M. Ferguson (13 shared papers)Xin Yu (4 shared papers)Nicole F. Steinmetz (2 shared papers)Amrutesh S. Puranik (3 shared papers)Seo Rin Kim (4 shared papers)LaTonya J. Hickson (3 shared papers)James L. Kirkland (3 shared papers)
- Journals
- Investigative Radiology (4 papers)Translational research (3 papers)American Journal of Physiology-Renal Physiology (3 papers)Scientific Reports (2 papers)Magnetic Resonance in Medicine (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Kai Jiang
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Aging 30
- Nephrology 108
- Radiology, Nuclear Medicine and Imaging 207
- Physiology 218
- Medical Terminology 2
Countries citing papers authored by Kai Jiang
This map shows the geographic impact of Kai Jiang'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 Kai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Jiang more than expected).
Fields of papers citing papers by Kai Jiang
This network shows the impact of papers produced by Kai Jiang. 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 Kai Jiang. The network helps show where Kai Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Jiang, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 116 | |
| 2 | 2019 | 105 | |
| 3 | 2013 | 89 | |
| 4 | 2021 | 79 | |
| 5 | 2015 | 69 | |
| 6 | 2019 | 67 | |
| 7 | 2018 | 64 | |
| 8 | 2016 | 63 | |
| 9 | 2018 | 43 | |
| 10 | 2018 | 34 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 27 | |
| 13 | 2018 | 27 | |
| 14 | 2016 | 24 | |
| 15 | 2017 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2021 | 18 | |
| 18 | 2015 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2015 | 17 |
About Kai Jiang
Kai Jiang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal and Vascular Pathologies (14 papers), MRI in cancer diagnosis (12 papers), Advanced MRI Techniques and Applications (6 papers), Pediatric Urology and Nephrology Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Animal Genetics and Reproduction (3 papers), Acute Kidney Injury Research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Aging (30 citations), Nephrology (108 citations), Radiology, Nuclear Medicine and Imaging (207 citations), Physiology (218 citations) and Medical Terminology (2 citations). Kai Jiang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lilach O. Lerman, Christopher M. Ferguson, Xin Yu, Nicole F. Steinmetz, Amrutesh S. Puranik, Seo Rin Kim, LaTonya J. Hickson, James L. Kirkland, Tamar Tchkonia and Chris A. Flask. Their work appears in journals such as Investigative Radiology, Translational research, American Journal of Physiology-Renal Physiology, Scientific Reports and Magnetic Resonance in Medicine.
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.