Kun Chi
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
-
- Erythropoietin and Anemia Treatment
Papers in
-
- Erythropoietin and Anemia Treatment 3
- Acute Myeloid Leukemia Research 2
- Chronic Myeloid Leukemia Treatments 2
- Genetics 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Quan Hong (21 shared papers)Xiaodong Geng (18 shared papers)Guang-Yan Cai (11 shared papers)Chao Liu (6 shared papers)Shuqiang Wang (3 shared papers)Xiangmei Chen (11 shared papers)Chengcheng Song (7 shared papers)Di Wu (5 shared papers)
- Journals
- Stem Cell Research & Therapy (3 papers)Frontiers in Medicine (2 papers)BioMed Research International (2 papers)The American Journal of Emergency Medicine (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Kun Chi
29 papers receiving 399 citations
Peers
Comparison fields: 5 of 71
- Nephrology 63
- Hematology 31
- Endocrinology, Diabetes and Metabolism 41
- Genetics 25
- Cancer Research 33
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2020 | 45 | |
| 3 | 2021 | 38 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2023 | 16 | |
| 7 | 2024 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 8 |
About Kun Chi
Kun Chi is a scholar working on Hematology, Genetics, Nephrology, Surgery and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 401 indexed citations. Recurring topics across this work include Muscle and Compartmental Disorders (5 papers), Dialysis and Renal Disease Management (3 papers), Erythropoietin and Anemia Treatment (3 papers), Birth, Development, and Health (2 papers), Lipid metabolism and disorders (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Nephrology (63 citations), Hematology (31 citations), Endocrinology, Diabetes and Metabolism (41 citations), Genetics (25 citations) and Cancer Research (33 citations). Kun Chi has collaborated with scholars based in China and United States. Frequent co-authors include Quan Hong, Xiaodong Geng, Guang-Yan Cai, Chao Liu, Shuqiang Wang, Xiangmei Chen, Chengcheng Song, Di Wu, Chao Liu and Zhi Jie Mao. Their work appears in journals such as Stem Cell Research & Therapy, Frontiers in Medicine, BioMed Research International, The American Journal of Emergency Medicine and Frontiers in Pharmacology.
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.