Chunli Yan
Impact in
- Structural Biology top 5%
- Molecular Biology top 5%
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- Protein Structure and Dynamics
Papers in
-
- DNA Repair Mechanisms 16
- RNA modifications and cancer 10
- DNA and Nucleic Acid Chemistry 10
- Melanoma and MAPK Pathways 9
- Epigenetics and DNA Methylation 7
- RNA and protein synthesis mechanisms 7
- Genomics and Chromatin Dynamics 6
- Co-authors
- Ivaylo IvanovYuan HePengyu RenKevin N. DalbySusan E. TsutakawaJohn A. TainerEva NogalesCarla Inouye
- Journals
- Nature Communications (5 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)Proteins Structure Function and Bioinformatics (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Chunli Yan
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Structural Biology 55
- Molecular Biology 1.3k
- Computational Theory and Mathematics 121
- Cancer Research 80
- Oncology 130
Countries citing papers authored by Chunli Yan
This map shows the geographic impact of Chunli 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 Chunli Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Yan more than expected).
Fields of papers citing papers by Chunli Yan
This network shows the impact of papers produced by Chunli 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 Chunli Yan. The network helps show where Chunli Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunli 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 38 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 41 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 41 | |
| 10 | 2019 | 62 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 43 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 14 | |
| 15 | 2016 | 39 | |
| 16 | 2015 | 30 | |
| 17 | 2014 | 14 | |
| 18 | 2013 | 83 | |
| 19 | 2012 | 19 | |
| 20 | 2008 | 38 |
About Chunli Yan
Chunli Yan is a scholar working on Structural Biology, Molecular Biology, Surfaces, Coatings and Films, Computational Theory and Mathematics and Cancer Research, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (16 papers), RNA modifications and cancer (10 papers), DNA and Nucleic Acid Chemistry (10 papers), Melanoma and MAPK Pathways (9 papers), Epigenetics and DNA Methylation (7 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Chromatin Dynamics (6 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Structural Biology (55 citations), Molecular Biology (1.3k citations), Computational Theory and Mathematics (121 citations), Cancer Research (80 citations) and Oncology (130 citations). Chunli Yan has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Ivaylo Ivanov, Yuan He, Pengyu Ren, Kevin N. Dalby, Susan E. Tsutakawa, John A. Tainer, Eva Nogales, Carla Inouye, Jie Fang and Robert Tjian. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Proteins Structure Function and Bioinformatics and The Journal of Physical Chemistry B.
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.