Ming Yu
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Co-authors
- A. Fontana (1 shared paper)Henry T. Lau (2 shared papers)Christian J. Stoeckert (2 shared papers)Ali Naji (8 shared papers)Hooman Noorchashm (3 shared papers)Susan Rostami (3 shared papers)Brigitte Koeberlein (3 shared papers)Klaus H. Kaestner (2 shared papers)
- Journals
- Transplantation (2 papers)Nature Metabolism (1 paper)The Journal of Immunology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Ming Yu
17 papers receiving 887 citations
Peers
Comparison fields: 5 of 74
- Transplantation 71
- Immunology 292
- Genetics 290
- Endocrinology, Diabetes and Metabolism 157
- Surgery 404
Countries citing papers authored by Ming Yu
This map shows the geographic impact of Ming Yu'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 Ming Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yu more than expected).
Fields of papers citing papers by Ming Yu
This network shows the impact of papers produced by Ming Yu. 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 Ming Yu. The network helps show where Ming Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yu, 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 | 1996 | 392 | |
| 2 | 2007 | 129 | |
| 3 | 2020 | 78 | |
| 4 | 2008 | 76 | |
| 5 | 2014 | 47 | |
| 6 | 2022 | 42 | |
| 7 | 2004 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2012 | 26 | |
| 10 | 2022 | 17 | |
| 11 | 2003 | 17 | |
| 12 | 2013 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | [Study on risk factors for early postoperative infection after orthotopic liver transplantation in adults]. | 2006 | 1 |
| 17 | 1996 | 1 |
About Ming Yu
Ming Yu is a scholar working on Surgery, Genetics, Molecular Biology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 913 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Genetics and Neurodevelopmental Disorders (5 papers), Diabetes and associated disorders (3 papers), Cannabis and Cannabinoid Research (3 papers), Diabetes Management and Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protein purification and stability (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Transplantation (71 citations), Immunology (292 citations), Genetics (290 citations), Endocrinology, Diabetes and Metabolism (157 citations) and Surgery (404 citations). Ming Yu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include A. Fontana, Henry T. Lau, Christian J. Stoeckert, Ali Naji, Hooman Noorchashm, Susan Rostami, Brigitte Koeberlein, Klaus H. Kaestner, Chengyang Liu and Taryn N. Green. Their work appears in journals such as Transplantation, Nature Metabolism, The Journal of Immunology, Biochemical and Biophysical Research Communications and Journal of Immunological Methods.
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.