Bing Yu

8.4k citations
211 papers · 5.4k · h-index 40

Impact in

Papers in

    • Molecular Biology Techniques and Applications 7
    • Neurogenetic and Muscular Disorders Research 10
    • Forensic and Genetic Research 8

Bing Yu

202 papers receiving 5.3k citations

Peers

Bing Yu
Comparison fields: 5 of 142
  • Oncology 799
  • Molecular Biology 1.9k
  • Cardiology and Cardiovascular Medicine 556
  • Genetics 708
  • Neurology 335
Replace Mitsuo Itakura with:
Mitsuo Itakura Japan
Lucio Pastore Italy
Souichi Adachi Japan
Troy Stevens United States
William H. Hoffman United States
Martina Schmidt Netherlands
Rodney E. Kellems United States
Jyoji Yamate Japan
Surendra Dasari United States
Bing Yu relative to Mitsuo Itakura Japan Mitsuo Itakura's profile →
Citations per field
00.5×4.1×
Mitsuo Itakura · 1×
Citations per year

Countries citing papers authored by Bing Yu

Since Specialization
Citations

This map shows the geographic impact of Bing 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 Bing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yu more than expected).

Fields of papers citing papers by Bing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing 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 Bing Yu. The network helps show where Bing Yu may publish in the future.

Co-authors

The 25 scholars most cited alongside Bing 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 Bing Yu Line = papers co-authored together Bing Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998282
2 2017254
3 1997239
4 2015237
5 2010227
6 2007218
7 2019127
8 2008122
9 2014107
10 200799
11 200589
12 201483
13 201482
14 201576
15 201075
16 200972
17 200666
18 201365
19 201565
20 200864

About Bing Yu

Bing Yu is a scholar working on Molecular Biology, Genetics, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 211 papers that have together received 5.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (16 papers), Lung Cancer Treatments and Mutations (14 papers), Cardiomyopathy and Myosin Studies (10 papers), Neurogenetic and Muscular Disorders Research (10 papers), Cancer Genomics and Diagnostics (8 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers), Forensic and Genetic Research (8 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Oncology (799 citations), Molecular Biology (1.9k citations), Cardiology and Cardiovascular Medicine (556 citations), Genetics (708 citations) and Neurology (335 citations). Bing Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Ronald J. Trent, Roger Pamphlett, Julia M. Morahan, Christina Selinger, Chuan‐Xi Zhang, Daiwen Chen, Sandra O’Toole, Wendy A. Cooper, Brett D. Hambly and R J Trent. Their work appears in journals such as Pathology, Journal of Craniofacial Surgery, Nature Communications, Journal of Clinical Pathology and Lung Cancer.

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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