Meijia Yang

6.0k citations
22 papers · 4.6k indexed · 1 hit paper · h-index 12
Topics
Fungal and yeast genetics research (5 papers)Mitochondrial Function and Pathology (4 papers)Microbial Metabolic Engineering and Bioproduction (4 papers)

In The Last Decade

Meijia Yang

22 papers receiving 4.4k citations

Hit Papers

A comprehensive analysis of protein–protein interactions ...2000202620082017200010002.0k3.0k

Peers

Meijia Yang
Comparison fields: 5 of 122
  • Molecular Biology 4.1k
  • Cell Biology 580
  • Computational Theory and Mathematics 410
  • Spectroscopy 298
  • Genetics 264
Replace Maithreyan Srinivasan with:
Maithreyan Srinivasan United States
Loïc Giot United States
Chris Stark Canada
Pascale Pochart France
Ashton Breitkreutz Canada
Bailey Godwin United States
Andrew Chatr‐aryamontri United States
Rune Linding Denmark
Antonio del Sol Luxembourg
Jennifer Rust United States
Meijia Yang relative to Maithreyan Srinivasan United States Maithreyan Srinivasan's profile →
Citations per field
00.5×1.5×
Maithreyan Srinivasan · 1×
Citations per year

Countries citing papers authored by Meijia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meijia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meijia Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Meijia Yang. A scholar is included among the top collaborators of Meijia 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 Meijia Yang. Meijia 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
#WorkIndexed citations
1 4
2 1
3 4
4 3
5 11
6 8
7 2
8 5
9 57
10
Angioarrestin: an antiangiogenic protein with tumor-inhibiting properties.
67
11 300
12
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiaebreakdown →
3577
13 131
14 49
15 48
16 36
17 59
18 46
19 6
20 178

About Meijia Yang

Meijia Yang is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy, having authored 22 papers that have together received 4.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Mitochondrial Function and Pathology (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Cell Biology (580 citations) and Computational Theory and Mathematics (410 citations). Meijia Yang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Stanley Fields, Jonathan M. Rothberg, Vaibhav A. Narayan, Ying Li, Peter Uetz, Gerard Cagney, Maithreyan Srinivasan, Daniel Lockshon, Pascale Pochart and Loïc Giot. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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