Ming Yu

110 papers receiving 4.0k citations

Ming Yu's Hit Papers

Chloroplast genomes: diversity, evolution, and applications in genetic engineering 2016 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Ming Yu
Comparison fields: 5 of 151
  • Molecular Biology 1.8k
  • Pharmacology 448
  • Cancer Research 362
  • Endocrinology, Diabetes and Metabolism 367
  • Hepatology 175
Replace Jehad Abubaker with:
Jehad Abubaker Kuwait
Sun Young Kim South Korea
Avril A. B. Robertson Australia
Carolyn L. Cummins Canada
Airo Tsubura Japan
Chihiro Tanaka Japan
Thorsten Berger Canada
Wen-Xing Ding United States
Zhongzhou Chen China
Els Wagenaar Netherlands
Ming Yu relative to Jehad Abubaker Kuwait Jehad Abubaker's profile →
Citations per field
00.5×3.8×
Jehad Abubaker · 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 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chloroplast genomes: diversity, evolution, and applications in genetic engineering
Hit paper breakdown →
20161098
2 1997331
3 2003233
4 1995202
5 1994136
6 2017129
7 1996119
8 201778
9 201178
10 201372
11 201266
12 201963
13 201059
14 200455
15 200755
16 200653
17 201848
18 202047
19 200541
20 201940

About Ming Yu

Ming Yu is a scholar working on Surgery, Molecular Biology, Immunology, Epidemiology and Cancer Research, having authored 119 papers that have together received 4.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Ultrasound and Hyperthermia Applications (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Diagnosis and treatment of tuberculosis (7 papers), Immune Cell Function and Interaction (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Ultrasound Imaging and Elastography (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Pharmacology (448 citations), Cancer Research (362 citations), Endocrinology, Diabetes and Metabolism (367 citations) and Hepatology (175 citations). Ming Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Choun‐Sea Lin, Wan‐Jung Chang, Henry Daniell, Chakkodabylu S. Ramesha, Kailash Prasad, Richard J. Roman, Guangbin He, Kimberly M. Hoagland, Mahesh Mistry and Carol Moreno. Their work appears in journals such as Journal of Ultrasound in Medicine, Molecular and Cellular Biochemistry, Journal of Cellular Physiology, American Journal of Physiology-Heart and Circulatory Physiology and JNCI Journal of the National Cancer Institute.

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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