Meijia Yang
- Molecular Biology top 1%
- Fungal and yeast genetics research 5
- Mitochondrial Function and Pathology 4
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 4
- Fibroblast Growth Factor Research 3
- Cell Biology top 2%
- Spectroscopy top 5%
- Aging top 10%
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- Lung Cancer Treatments and Mutations 3
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- Cancer, Hypoxia, and Metabolism 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Stanley FieldsJonathan M. RothbergVaibhav A. NarayanYing LiPeter UetzGerard CagneyMaithreyan SrinivasanDaniel Lockshon
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Meijia Yang
22 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 4.1k
- Cell Biology 580
- Computational Theory and Mathematics 410
- Spectroscopy 298
- Aging 30
Countries citing papers authored by Meijia Yang
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
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
The 25 scholars most cited alongside Meijia Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 2 | |
| 8 | 2007 | 5 | |
| 9 | 2002 | 57 | |
| 10 | Angioarrestin: an antiangiogenic protein with tumor-inhibiting properties. | 2002 | 67 |
| 11 | 2001 | 300 | |
| 12 | A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiaebreakdown → | 2000 | 3577 |
| 13 | 1995 | 131 | |
| 14 | 1995 | 49 | |
| 15 | 1994 | 48 | |
| 16 | 1994 | 36 | |
| 17 | 1991 | 59 | |
| 18 | 1990 | 46 | |
| 19 | 1989 | 6 | |
| 20 | 1988 | 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), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (4 papers), Fibroblast Growth Factor Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Genomics and Diagnostics (2 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 Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, Human Molecular Genetics, Cell Host & Microbe and Pharmaceutics.
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.