Xiangchen Gu
- Nephrology top 5%
- Renal Diseases and Glomerulopathies 7
- Cancer Research top 5%
-
- Renal and related cancers 6
- Kruppel-like factors research 5
- Epigenetics and DNA Methylation 2
- Connective Tissue Growth Factor Research 2
- Genetics top 10%
-
- Cell Adhesion Molecules Research 3
-
- Platelet Disorders and Treatments 2
-
- Biomedical Research and Pathophysiology 2
- Co-authors
- Changlin MeiLili FuXiang GaoJohn Cijiang HeYiqing GuoSandeep K. MallipattuMónica P. ReveloYi Wang
- Journals
- Kidney & Blood Pressure Research (3 papers)Kidney International (3 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiangchen Gu
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Nephrology 203
- Cancer Research 341
- Molecular Biology 678
- Genetics 205
- Biochemistry 38
Countries citing papers authored by Xiangchen Gu
This map shows the geographic impact of Xiangchen Gu'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 Xiangchen Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangchen Gu more than expected).
Fields of papers citing papers by Xiangchen Gu
This network shows the impact of papers produced by Xiangchen Gu. 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 Xiangchen Gu. The network helps show where Xiangchen Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiangchen Gu, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 8 | |
| 11 | Icariin attenuates renal interstitial fibrosis through G protein-coupled estrogen receptor in a UUO murine model. | 2022 | 7 |
| 12 | 2021 | 58 | |
| 13 | 2021 | 1 | |
| 14 | 2018 | 0 | |
| 15 | 2018 | 19 | |
| 16 | 2017 | 17 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 31 | |
| 19 | 2017 | 25 | |
| 20 | Kruppel-Like Factor 15 Modulates Renal Interstitial Fibrosis by ERK/MAPK and JNK/MAPK Pathways Regulationbreakdown → | 2013 | 798 |
About Xiangchen Gu
Xiangchen Gu is a scholar working on Nephrology, Immunology and Allergy and Reproductive Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Renal and related cancers (6 papers), Kruppel-like factors research (5 papers), Cell Adhesion Molecules Research (3 papers), Platelet Disorders and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Connective Tissue Growth Factor Research (2 papers) and Biomedical Research and Pathophysiology (2 papers). The work is most often cited by research in Nephrology (203 citations), Cancer Research (341 citations) and Molecular Biology (678 citations). Xiangchen Gu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Changlin Mei, Lili Fu, Xiang Gao, John Cijiang He, Yiqing Guo, Sandeep K. Mallipattu, Mónica P. Revelo, Yi Wang, Avi Ma’ayan and Vincent W. Yang. Their work appears in journals such as Kidney & Blood Pressure Research, Kidney International, Medicine, Clinical Kidney Journal and Cell Death Discovery.
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.