Bin Ouyang

1.7k citations
42 papers · 1.4k · h-index 20

Impact in

Papers in

Bin Ouyang

42 papers receiving 1.4k citations

Peers

Bin Ouyang
Comparison fields: 5 of 118
  • Cell Biology 472
  • Health, Toxicology and Mutagenesis 224
  • Oncology 327
  • Environmental Chemistry 126
  • Molecular Biology 632
Replace Marco Denegri with:
Marco Denegri Italy
Wen‐Yang Hu United States
Jiang Qiu China
Luyang Yu China
Aneesa Sultan Pakistan
Zhengzheng Wei United States
Ching Shang United States
Xuesong Dong China
Laura E. Pascal United States
Bin Ouyang relative to Marco Denegri Italy Marco Denegri's profile →
Citations per field
00.5×8.1×
Marco Denegri · 1×
Citations per year

Countries citing papers authored by Bin Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000153
2 1996124
3 2021111
4 2014100
5 199798
6 200390
7 200573
8 201872
9 199963
10 200461
11 200257
12 200053
13
Human Bub1: a putative spindle checkpoint kinase closely linked to cell proliferation.
199848
14 201234
15 201330
16 201324
17 201621
18 200121
19 201121
20 199920

About Bin Ouyang

Bin Ouyang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Control and Systems Engineering, Cell Biology and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Multilevel Inverters and Converters (4 papers), Toxic Organic Pollutants Impact (4 papers), Ubiquitin and proteasome pathways (3 papers), Electric Motor Design and Analysis (3 papers), Magnetic Bearings and Levitation Dynamics (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cell Biology (472 citations), Health, Toxicology and Mutagenesis (224 citations), Oncology (327 citations), Environmental Chemistry (126 citations) and Molecular Biology (632 citations). Bin Ouyang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Pheruza Tarapore, Wei Dai, James A. Fagin, Jeffrey A. Knauf, Huiqi Pan, Shuk‐Mei Ho, Peter J. Stambrook, Jun Ying, Luo Lu and Charles A. Hales. Their work appears in journals such as Journal of Biological Chemistry, Energies, Oncogene, Theriogenology and Genes Chromosomes and 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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