Yu Jia
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Histone Deacetylase Inhibitors Research
- Advanced Biosensing Techniques and Applications
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
Papers in
-
- Histone Deacetylase Inhibitors Research 4
- Epigenetics and DNA Methylation 3
- Advanced Biosensing Techniques and Applications 3
- Gene expression and cancer classification 1
- Protein Degradation and Inhibitors 1
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- Acute Myeloid Leukemia Research 5
- Co-authors
- Yue Wei (9 shared papers)Hui Yang (7 shared papers)Yumin Hu (3 shared papers)Guillermo Garcia‐Manero (7 shared papers)David Cogdell (3 shared papers)Ilya Shmulevich (2 shared papers)Jean Viallet (2 shared papers)Weigang Tong (2 shared papers)
- Journals
- Blood (6 papers)Clinical Cancer Research (1 paper)Computer applications in the biosciences (1 paper)PLoS ONE (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Yu Jia
12 papers receiving 376 citations
Peers
Comparison fields: 5 of 65
- Hematology 73
- Molecular Biology 246
- Immunology 65
- Genetics 31
- Physiology 13
Countries citing papers authored by Yu Jia
This map shows the geographic impact of Yu Jia'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 Yu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jia more than expected).
Fields of papers citing papers by Yu Jia
This network shows the impact of papers produced by Yu Jia. 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 Yu Jia. The network helps show where Yu Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Jia, 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 | 2010 | 87 | |
| 2 | 2013 | 61 | |
| 3 | 2010 | 58 | |
| 4 | 2006 | 55 | |
| 5 | 2005 | 37 | |
| 6 | 2016 | 29 | |
| 7 | 2010 | 25 | |
| 8 | 2006 | 19 | |
| 9 | 2016 | 2 | |
| 10 | 2010 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2012 | 0 | |
| 14 | 2025 | 0 |
About Yu Jia
Yu Jia is a scholar working on Molecular Biology, Hematology, Immunology, Spectroscopy and Organic Chemistry, having authored 14 papers that have together received 376 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Epigenetics and DNA Methylation (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bone and Joint Diseases (1 paper), Gene expression and cancer classification (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (73 citations), Molecular Biology (246 citations), Immunology (65 citations), Genetics (31 citations) and Physiology (13 citations). Yu Jia has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Yue Wei, Hui Yang, Yumin Hu, Guillermo Garcia‐Manero, David Cogdell, Ilya Shmulevich, Jean Viallet, Weigang Tong, Ming Zhang and Susan O’Brien. Their work appears in journals such as Blood, Clinical Cancer Research, Computer applications in the biosciences, PLoS ONE and PROTEOMICS.
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.