Kun Chi
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
-
- Cancer-related molecular mechanisms research
Papers in
-
- Renal and related cancers 3
- Nephrology 10
- Dialysis and Renal Disease Management 7
- Co-authors
- Quan Hong (23 shared papers)Xiaodong Geng (20 shared papers)Guangyan Cai (12 shared papers)Chao Liu (7 shared papers)Xiangmei Chen (12 shared papers)Shuqiang Wang (5 shared papers)Chengcheng Song (8 shared papers)Chao Liu (5 shared papers)
- Journals
- Stem Cell Research & Therapy (3 papers)Annals of Palliative Medicine (2 papers)The American Journal of Emergency Medicine (2 papers)BioMed Research International (2 papers)Frontiers in Medicine (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Kun Chi
29 papers receiving 369 citations
Peers
Comparison fields: 5 of 78
- Nephrology 82
- Cancer Research 65
- Hematology 34
- Endocrinology, Diabetes and Metabolism 46
- Genetics 28
Countries citing papers authored by Kun Chi
This map shows the geographic impact of Kun Chi'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 Kun Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chi more than expected).
Fields of papers citing papers by Kun Chi
This network shows the impact of papers produced by Kun Chi. 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 Kun Chi. The network helps show where Kun Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Chi, 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 | 2022 | 55 | |
| 2 | 2020 | 44 | |
| 3 | 2021 | 38 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 6 |
About Kun Chi
Kun Chi is a scholar working on Molecular Biology, Nephrology, Surgery, Genetics and Hematology, having authored 30 papers that have together received 372 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), Muscle and Compartmental Disorders (5 papers), Renal and related cancers (3 papers), Erythropoietin and Anemia Treatment (3 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Genetic Syndromes and Imprinting (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Nephrology (82 citations), Cancer Research (65 citations), Hematology (34 citations), Endocrinology, Diabetes and Metabolism (46 citations) and Genetics (28 citations). Kun Chi has collaborated with scholars based in China and United States. Frequent co-authors include Quan Hong, Xiaodong Geng, Guangyan Cai, Chao Liu, Xiangmei Chen, Shuqiang Wang, Chengcheng Song, Chao Liu, Di Wu and Zhi Mao. Their work appears in journals such as Stem Cell Research & Therapy, Annals of Palliative Medicine, The American Journal of Emergency Medicine, BioMed Research International and Frontiers 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.