Yang Bi

5.7k citations
109 papers · 1.7k · h-index 22

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 14
    • RNA Interference and Gene Delivery 5
    • Organ Transplantation Techniques and Outcomes 6
    • Pancreatic function and diabetes 5

Yang Bi

99 papers receiving 1.6k citations

Peers

Yang Bi
Comparison fields: 5 of 133
  • Genetics 164
  • Developmental Neuroscience 61
  • Hepatology 106
  • Cancer Research 170
  • Molecular Biology 703
Replace Guei‐Sheung Liu with:
Guei‐Sheung Liu Australia
Shih-Hwa Chiou Taiwan
Mi‐Young Son South Korea
Shih‐Ping Liu Taiwan
Jeong A. Kim South Korea
Mi‐Ok Lee South Korea
Carmen Mihaela Mihu Romania
Guodong Sun China
Yang Bi relative to Guei‐Sheung Liu Australia Guei‐Sheung Liu's profile →
Citations per field
00.5×3.2×
Guei‐Sheung Liu · 1×
Citations per year

Countries citing papers authored by Yang Bi

Since Specialization
Citations

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

Fields of papers citing papers by Yang Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015183
2 2011104
3 201260
4 200959
5 201552
6 201552
7 201349
8 201548
9 201448
10 201547
11 201046
12 201743
13 201642
14 202041
15 201140
16 200936
17 201326
18 202026
19 201725
20 201125

About Yang Bi

Yang Bi is a scholar working on Molecular Biology, Surgery, Genetics, Epidemiology and Plant Science, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (14 papers), Mesenchymal stem cell research (11 papers), Liver physiology and pathology (9 papers), Organ Transplantation Techniques and Outcomes (6 papers), RNA Interference and Gene Delivery (5 papers), Autophagy in Disease and Therapy (5 papers), Pancreatic function and diabetes (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Genetics (164 citations), Developmental Neuroscience (61 citations), Hepatology (106 citations), Cancer Research (170 citations) and Molecular Biology (703 citations). Yang Bi has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Tong‐Chuan He, Yun He, Tingyu Li, Min Gong, Youxue Liu, Hue H. Luu, Rex C. Haydon, Wei Jiang, Guoxin Nan and Yan Gu. Their work appears in journals such as Genes & Diseases, International Journal of Molecular Medicine, The International Journal of Biochemistry & Cell Biology, PLoS ONE and Stem Cells and Development.

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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