Yuannyu Zhang
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
Papers in
-
- Genomics and Chromatin Dynamics 10
- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 3
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- Chromosomal and Genetic Variations 4
- Co-authors
- Jian Xu (29 shared papers)Xin Liu (14 shared papers)Hui Cao (12 shared papers)Zhen Shao (8 shared papers)Kailong Li (4 shared papers)Zhimin Gu (9 shared papers)Kathryn E. Dickerson (10 shared papers)Stuart H. Orkin (6 shared papers)
- Journals
- Blood (6 papers)Nature Communications (4 papers)Developmental Cell (2 papers)Cell Reports (2 papers)Nature Cell Biology (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yuannyu Zhang
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Aging 31
- Molecular Biology 1.2k
- Hematology 181
- Cancer Research 192
- Genetics 110
Countries citing papers authored by Yuannyu Zhang
This map shows the geographic impact of Yuannyu Zhang'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 Yuannyu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuannyu Zhang more than expected).
Fields of papers citing papers by Yuannyu Zhang
This network shows the impact of papers produced by Yuannyu Zhang. 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 Yuannyu Zhang. The network helps show where Yuannyu Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuannyu Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 229 | |
| 2 | 2017 | 217 | |
| 3 | 2016 | 178 | |
| 4 | 2020 | 156 | |
| 5 | 2018 | 151 | |
| 6 | 2017 | 124 | |
| 7 | 2020 | 69 | |
| 8 | 2021 | 66 | |
| 9 | 2018 | 62 | |
| 10 | 2023 | 40 | |
| 11 | 2018 | 33 | |
| 12 | 2020 | 30 | |
| 13 | 2020 | 30 | |
| 14 | 2022 | 25 | |
| 15 | 2020 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2021 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2019 | 14 |
About Yuannyu Zhang
Yuannyu Zhang is a scholar working on Molecular Biology, Plant Science, Genetics, Hematology and Physiology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (5 papers), Hemoglobinopathies and Related Disorders (5 papers), CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (4 papers), RNA modifications and cancer (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Aging (31 citations), Molecular Biology (1.2k citations), Hematology (181 citations), Cancer Research (192 citations) and Genetics (110 citations). Yuannyu Zhang has collaborated with scholars based in United States, China and France. Frequent co-authors include Jian Xu, Xin Liu, Hui Cao, Zhen Shao, Kailong Li, Zhimin Gu, Kathryn E. Dickerson, Stuart H. Orkin, Min Ni and Guo‐Cheng Yuan. Their work appears in journals such as Blood, Nature Communications, Developmental Cell, Cell Reports and Nature Cell Biology.
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.