Songbai Yang

1.7k total citations
62 papers, 1.3k citations indexed

About

Songbai Yang is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Songbai Yang has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Pharmacology. Recurrent topics in Songbai Yang's work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers) and Acupuncture Treatment Research Studies (7 papers). Songbai Yang is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers) and Acupuncture Treatment Research Studies (7 papers). Songbai Yang collaborates with scholars based in China, Hong Kong and United States. Songbai Yang's co-authors include Jian Yin, Zhigang Mei, Albert Taraboulos, D. Serban, Stanley B. Prusiner, K. Jendroska, S. J. DeArmond, Zhitao Feng, Ayong Zhao and Yan Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Songbai Yang

59 papers receiving 1.3k citations

Peers

Songbai Yang
Comparison fields: 5 of 100
  • Molecular Biology 720
  • Neurology 368
  • Epidemiology 197
  • Cancer Research 176
  • Physiology 141
Replace Xin Ran with:
Xin Ran China
Junmin Wang China
Minmin Hu China
Kejian Wang China
Songwei Yang China
Marika Lanza Italy
Yoichiro Isohama Japan
Dewei He China
Xin Ran China View profile →
Citations per field, relative to Songbai Yang
Songbai Yang · 1×
Citations per year, relative to Songbai Yang
Songbai Yang · 1×

Countries citing papers authored by Songbai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Songbai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songbai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Songbai Yang. A scholar is included among the top collaborators of Songbai Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songbai Yang. Songbai Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 1
5 1
6 5
7 1
8 10
9 2
10 4
11 8
12 1
13 26
14 4
15 8
16 16
17 6
18
Improvement of B-Carotene Production in Yarrowia lipolytica Through Assembling Multiple Copies of B-Carotene Biosynthesis Genes from Blakeslea trispora
1
19 16
20 15

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026