Xiaoru Hu
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in
-
- Renal and related cancers 4
-
- Chemotherapy-induced organ toxicity mitigation 7
- Co-authors
- Zheng Dong (13 shared papers)Siyao Li (8 shared papers)Chengyuan Tang (3 shared papers)Xiaohong Xiang (3 shared papers)Qingqing Wei (4 shared papers)Zhengwei Ma (4 shared papers)Han‐Fei Ding (2 shared papers)Lu Wen (2 shared papers)
- Journals
- Cancers (2 papers)Kidney International (2 papers)Molecular Therapy (1 paper)Poultry Science (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoru Hu
27 papers receiving 475 citations
Peers
Comparison fields: 5 of 90
- Nephrology 147
- Geriatrics and Gerontology 24
- Cancer Research 75
- Clinical Biochemistry 33
- Pathology and Forensic Medicine 69
Countries citing papers authored by Xiaoru Hu
This map shows the geographic impact of Xiaoru Hu'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 Xiaoru Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoru Hu more than expected).
Fields of papers citing papers by Xiaoru Hu
This network shows the impact of papers produced by Xiaoru Hu. 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 Xiaoru Hu. The network helps show where Xiaoru Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoru Hu, 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 | 2020 | 90 | |
| 2 | 2019 | 72 | |
| 3 | 2023 | 60 | |
| 4 | 2021 | 44 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2018 | 14 | |
| 11 | 2007 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 3 |
About Xiaoru Hu
Xiaoru Hu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 480 indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (7 papers), Renal and related cancers (4 papers), Atmospheric aerosols and clouds (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Renal cell carcinoma treatment (2 papers), Autophagy in Disease and Therapy (2 papers), Solar Radiation and Photovoltaics (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Nephrology (147 citations), Geriatrics and Gerontology (24 citations), Cancer Research (75 citations), Clinical Biochemistry (33 citations) and Pathology and Forensic Medicine (69 citations). Xiaoru Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zheng Dong, Siyao Li, Chengyuan Tang, Xiaohong Xiang, Qingqing Wei, Zhengwei Ma, Han‐Fei Ding, Lu Wen, Juan Cai and Man J. Livingston. Their work appears in journals such as Cancers, Kidney International, Molecular Therapy, Poultry Science and 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.