Xuan Chi
Impact in
- Urology top 2%
- Urological Disorders and Treatments
- Molecular Biology top 10%
- Renal and related cancers
- Congenital heart defects research
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Developmental Biology and Gene Regulation
Papers in
-
- Renal and related cancers 11
- Congenital heart defects research 7
- Co-authors
- Frank Costantini (10 shared papers)Philip J. Gatti (1 shared paper)Thomas Papoian (1 shared paper)Robert J. Schwartz (7 shared papers)Benson Lu (5 shared papers)Satu Kuure (3 shared papers)Naoya Asai (2 shared papers)Masahide Takahashi (2 shared papers)
- Journals
- Transfusion (3 papers)genesis (3 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Development (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Xuan Chi
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Urology 131
- Molecular Biology 1.1k
- Biochemistry 56
- Pulmonary and Respiratory Medicine 241
- Genetics 212
Countries citing papers authored by Xuan Chi
This map shows the geographic impact of Xuan 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 Xuan Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan Chi more than expected).
Fields of papers citing papers by Xuan Chi
This network shows the impact of papers produced by Xuan 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 Xuan Chi. The network helps show where Xuan Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuan 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 | 2017 | 215 | |
| 2 | 2009 | 174 | |
| 3 | 2009 | 174 | |
| 4 | 2008 | 165 | |
| 5 | 2004 | 134 | |
| 6 | 2008 | 119 | |
| 7 | 2004 | 105 | |
| 8 | 2010 | 59 | |
| 9 | 2008 | 49 | |
| 10 | 2010 | 48 | |
| 11 | 2005 | 32 | |
| 12 | 2011 | 29 | |
| 13 | 2011 | 24 | |
| 14 | 2011 | 19 | |
| 15 | 2012 | 16 | |
| 16 | 2003 | 13 | |
| 17 | 2011 | 12 | |
| 18 | 2012 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2022 | 10 |
About Xuan Chi
Xuan Chi is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Urology and Surgery, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal and related cancers (11 papers), Congenital heart defects research (7 papers), Urological Disorders and Treatments (5 papers), Renal cell carcinoma treatment (3 papers), Animal Genetics and Reproduction (3 papers), Blood transfusion and management (3 papers), GaN-based semiconductor devices and materials (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Urology (131 citations), Molecular Biology (1.1k citations), Biochemistry (56 citations), Pulmonary and Respiratory Medicine (241 citations) and Genetics (212 citations). Xuan Chi has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Frank Costantini, Philip J. Gatti, Thomas Papoian, Robert J. Schwartz, Benson Lu, Satu Kuure, Naoya Asai, Masahide Takahashi, Xin‐Hua Feng and Eduardo García Gras. Their work appears in journals such as Transfusion, genesis, PLoS ONE, Proceedings of the National Academy of Sciences and Development.
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.