Yangbin Gao

1.8k citations
14 papers · 1.1k · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • Plant Reproductive Biology 3
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Photosynthetic Processes and Mechanisms 2
    • Plant Molecular Biology Research 6
    • Plant nutrient uptake and metabolism 2

Yangbin Gao

14 papers receiving 1.1k citations

Peers

Yangbin Gao
Comparison fields: 5 of 85
  • Aging 31
  • Business and International Management 26
  • Plant Science 472
  • Molecular Biology 865
  • Cancer Research 162
Replace Chantal LeBlanc with:
Chantal LeBlanc United States
Xiaolong Dong China
Linhong Li United States
Ha Youn Shin South Korea
Jihyeon Yu South Korea
Lili Sun China
Ergin Beyret United States
Haiyang Wu China
Megan van Overbeek United States
Zhixing Wang China
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Yangbin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yangbin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013417
2 2015268
3 2019178
4 201958
5 201848
6 201230
7 201726
8 202025
9 202117
10 201616
11 201615
12 20245
13 20173
14 20171

About Yangbin Gao

Yangbin Gao is a scholar working on Molecular Biology, Plant Science, Cancer Research, Surgery and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), CRISPR and Genetic Engineering (5 papers), Cancer Genomics and Diagnostics (3 papers), Plant Reproductive Biology (3 papers), RNA and protein synthesis mechanisms (2 papers), Plant nutrient uptake and metabolism (2 papers), RNA modifications and cancer (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Aging (31 citations), Business and International Management (26 citations), Plant Science (472 citations), Molecular Biology (865 citations) and Cancer Research (162 citations). Yangbin Gao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yunde Zhao, Xinhua Dai, Da Zhang, Mark Estelle, Yi Zhang, Xuyu Cai, Jian‐Bing Fan, Jianxing He, Peter W. Laird and Wenhua Liang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Bulletin, EBioMedicine, Plant and Cell Physiology and Molecular Plant.

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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