Ming Yu

1.1k citations
16 papers · 869 · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Pancreatic function and diabetes 9
    • Genetics and Neurodevelopmental Disorders 5
    • Diabetes and associated disorders 4

Ming Yu

16 papers receiving 852 citations

Peers

Ming Yu
Comparison fields: 5 of 74
  • Transplantation 73
  • Immunology 315
  • Genetics 298
  • Endocrinology, Diabetes and Metabolism 163
  • Surgery 402
Replace S S Boggs with:
S S Boggs United States
Chloe L. Rackham United Kingdom
Jo Anna Reems United States
B. Vokaer Belgium
María Pilar Armengol Spain
Randall Grose Australia
Yuko Nagamura Japan
Margaret Jelbart Australia
Xin Maggie Wang Australia
Heather F Johnston United States
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Citations per field
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S S Boggs · 1×
Citations per year

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Yu Line = papers co-authored together Ming Yu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1996378
2 2007126
3 202075
4 200873
5 201447
6 202236
7 201225
8 202025
9 200422
10 200316
11 202215
12 201310
13 202110
14 20226
15 20214
16
[Study on risk factors for early postoperative infection after orthotopic liver transplantation in adults].
20061

About Ming Yu

Ming Yu is a scholar working on Surgery, Genetics, Molecular Biology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 869 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Genetics and Neurodevelopmental Disorders (5 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Protein purification and stability (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Transplantation (73 citations), Immunology (315 citations), Genetics (298 citations), Endocrinology, Diabetes and Metabolism (163 citations) and Surgery (402 citations). Ming Yu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Henry T. Lau, A. Fontana, Christian J. Stoeckert, Ali Naji, Susan Rostami, Hooman Noorchashm, Brigitte Koeberlein, Klaus H. Kaestner, Chengyang Liu and Ronald F. Parsons. Their work appears in journals such as Transplantation, Nature Medicine, Journal of Orthopaedic Research®, EMBO Molecular Medicine and Science Advances.

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.

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