Zi Yan
Impact in
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 4
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- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Carl L. Schildkraut (5 shared papers)Settapong T Kosiyatrakul (3 shared papers)Jeannine Gerhardt (3 shared papers)Advaitha Madireddy (2 shared papers)Guixia Wang (4 shared papers)Zev Rosenwaks (2 shared papers)Qiansheng Zhan (2 shared papers)Nikica Zaninović (2 shared papers)
- Journals
- Blood (3 papers)The Journal of Cell Biology (2 papers)Oncology Reports (2 papers)Molecular Cell (2 papers)Experimental Hematology (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zi Yan
34 papers receiving 651 citations
Peers
Comparison fields: 5 of 86
- Aging 12
- Molecular Biology 439
- Genetics 159
- Hematology 53
- Physiology 121
Countries citing papers authored by Zi Yan
This map shows the geographic impact of Zi Yan'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 Zi Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi Yan more than expected).
Fields of papers citing papers by Zi Yan
This network shows the impact of papers produced by Zi Yan. 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 Zi Yan. The network helps show where Zi Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zi Yan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2013 | 84 | |
| 3 | 2012 | 64 | |
| 4 | 1994 | 53 | |
| 5 | 2017 | 37 | |
| 6 | 2014 | 32 | |
| 7 | 2012 | 27 | |
| 8 | 2019 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 1992 | 24 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2013 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2015 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2013 | 6 |
About Zi Yan
Zi Yan is a scholar working on Molecular Biology, Physiology, Genetics, Cancer Research and Plant Science, having authored 34 papers that have together received 657 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (4 papers), Chromosomal and Genetic Variations (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Virus-based gene therapy research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Aging (12 citations), Molecular Biology (439 citations), Genetics (159 citations), Hematology (53 citations) and Physiology (121 citations). Zi Yan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Carl L. Schildkraut, Settapong T Kosiyatrakul, Jeannine Gerhardt, Advaitha Madireddy, Guixia Wang, Zev Rosenwaks, Qiansheng Zhan, Nikica Zaninović, William C. Drosopoulos and Andrés Aguilera. Their work appears in journals such as Blood, The Journal of Cell Biology, Oncology Reports, Molecular Cell and Experimental Hematology.
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.