Xiaoying Hu
- Immunology top 2%
- Immune Cell Function and Interaction 7
- Immune cells in cancer 7
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 4
- Nephrology top 5%
- Acute Kidney Injury Research 5
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 3
- Cancer Research top 10%
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- Coronary Interventions and Diagnostics 5
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Jochen UtikalPeter AltevogtRebekka WeberChristopher GrothViktor FlemingViktor UmanskyVasyl S. NagibinHong Qiu
- Cited by
- ImmunologyOncologyNephrology
- Journals
- Journal of the American College of Cardiology (1 paper)Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiaoying Hu
39 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 1.3k
- Oncology 981
- Nephrology 107
- Cancer Research 189
- Pulmonary and Respiratory Medicine 232
Countries citing papers authored by Xiaoying Hu
This map shows the geographic impact of Xiaoying 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 Xiaoying Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Hu more than expected).
Fields of papers citing papers by Xiaoying Hu
This network shows the impact of papers produced by Xiaoying 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 Xiaoying Hu. The network helps show where Xiaoying Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 32 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 34 | |
| 10 | 2019 | 110 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 40 | |
| 13 | Targeting Myeloid-Derived Suppressor Cells to Bypass Tumor-Induced Immunosuppressionbreakdown → | 2018 | 355 |
| 14 | 2018 | 42 | |
| 15 | Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progressionbreakdown → | 2018 | 614 |
| 16 | 2017 | 2 | |
| 17 | 2017 | 25 | |
| 18 | 2016 | 64 | |
| 19 | 2012 | 5 | |
| 20 | 2007 | 33 |
About Xiaoying Hu
Xiaoying Hu is a scholar working on Nephrology, Immunology and Family Practice, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immune cells in cancer (7 papers), Coronary Interventions and Diagnostics (5 papers), Acute Kidney Injury Research (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (981 citations) and Nephrology (107 citations). Xiaoying Hu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jochen Utikal, Peter Altevogt, Rebekka Weber, Christopher Groth, Viktor Fleming, Viktor Umansky, Vasyl S. Nagibin, Viktor Umansky, Hong Qiu and Laura Hüser. Their work appears in journals such as Journal of the American College of Cardiology, Cancer Research and Scientific Reports.
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.