Ming Yu

844 citations
54 papers · 661 · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Glycosylation and Glycoproteins Research 2
    • HER2/EGFR in Cancer Research 5
    • Peptidase Inhibition and Analysis 3

Ming Yu

50 papers receiving 656 citations

Peers

Ming Yu
Comparison fields: 5 of 82
  • Cancer Research 169
  • Oncology 151
  • Radiology, Nuclear Medicine and Imaging 91
  • Endocrine and Autonomic Systems 24
  • Molecular Biology 247
Replace Jessica M. Molkentine with:
Jessica M. Molkentine United States
Annett Linge Germany
Margarite D. Matossian United States
Zhenhai Lu China
Lisa Ley United States
Junhye Kwon South Korea
K. Garber Austria
Arif Y. Shaikh United States
Francisco Hermida‐Prado Spain
Yu Ma China
Ming Yu relative to Jessica M. Molkentine United States Jessica M. Molkentine's profile →
Citations per field
00.5×2.7×
Jessica M. Molkentine · 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

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 201045
3 201243
4 201442
5 201735
6 201033
7 201633
8 202233
9 200730
10 201227
11 201024
12 200720
13 201619
14 201319
15 201916
16 200913
17 200613
18 20209
19 20069
20 20108

About Ming Yu

Ming Yu is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 661 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (9 papers), HER2/EGFR in Cancer Research (5 papers), Medical Imaging Techniques and Applications (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Research and Treatments (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (169 citations), Oncology (151 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Endocrine and Autonomic Systems (24 citations) and Molecular Biology (247 citations). Ming Yu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jihui Hao, Tiansuo Zhao, Xiuchao Wang, He Ren, Jingcheng Liu, Ping Yan, He Ren, Zhenguang Wang, Beifen Shen and Yuehua Chen. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Biochemical and Biophysical Research Communications, Cancer Letters, Nuklearmedizin - NuclearMedicine and Oncology 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.

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