Yunying Shi
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments 23
- Genetics top 1%
- Urology top 2%
- Surgery top 5%
- Organ Transplantation Techniques and Outcomes 7
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies 5
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- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 10
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- Pharmacological Effects and Toxicity Studies 9
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- Drug Transport and Resistance Mechanisms 5
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- Chronic Kidney Disease and Diabetes 5
- Co-authors
- Michael T. LongakerLanlan WangNatalina QuartoBenjamin M. WuC MaríCatherine M. CowanOliver AalamiChristopher H. Contag
- Cited by
- TransplantationGeneticsUrology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)Nature Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yunying Shi
103 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Transplantation 385
- Genetics 718
- Urology 196
- Surgery 1.0k
- Rheumatology 334
Countries citing papers authored by Yunying Shi
This map shows the geographic impact of Yunying Shi'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 Yunying Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunying Shi more than expected).
Fields of papers citing papers by Yunying Shi
This network shows the impact of papers produced by Yunying Shi. 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 Yunying Shi. The network helps show where Yunying Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunying Shi, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | Food Literacy and Its Associated Factors in Non-Dialysis Patients with Chronic Kidney Disease in China: A Cross-Sectional Study | 2022 | 3 |
| 8 | 2021 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 0 | |
| 12 | 2016 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2015 | 23 | |
| 15 | 2014 | 13 | |
| 16 | 2012 | 221 | |
| 17 | 2012 | 33 | |
| 18 | 2012 | 18 | |
| 19 | 2011 | 11 | |
| 20 | 1999 | 65 |
About Yunying Shi
Yunying Shi is a scholar working on Transplantation, Nephrology and Hepatology, having authored 110 papers that have together received 3.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (23 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers), Pharmacological Effects and Toxicity Studies (9 papers), Organ Transplantation Techniques and Outcomes (7 papers), Drug Transport and Resistance Mechanisms (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Transplantation (385 citations), Genetics (718 citations) and Urology (196 citations). Yunying Shi has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Michael T. Longaker, Lanlan Wang, Natalina Quarto, Benjamin M. Wu, C Marí, Catherine M. Cowan, Oliver Aalami, Christopher H. Contag, Yu‐Fen Chou and Zhuochun Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.