Zhangli Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 13
- RNA and protein synthesis mechanisms 10
- Genomics and Chromatin Dynamics 8
- RNA Research and Splicing 7
- DNA Repair Mechanisms 3
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- Cancer-related molecular mechanisms research 8
- Co-authors
- Anindya Dutta (16 shared papers)Pankaj Kumar (7 shared papers)Canan Kuscu (2 shared papers)Asrar Ahmad Malik (2 shared papers)Briana Wilson (5 shared papers)Manjari Kiran (2 shared papers)Fengbin Wang (11 shared papers)Etsuko Shibata (4 shared papers)
- Journals
- Nature Communications (4 papers)The FASEB Journal (2 papers)Nature Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesFranceGeorgia
In The Last Decade
Zhangli Su
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 461
- Molecular Biology 1.1k
- Structural Biology 21
- Ecology 146
- Environmental Engineering 73
Countries citing papers authored by Zhangli Su
This map shows the geographic impact of Zhangli Su'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 Zhangli Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhangli Su more than expected).
Fields of papers citing papers by Zhangli Su
This network shows the impact of papers produced by Zhangli Su. 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 Zhangli Su. The network helps show where Zhangli Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhangli Su, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 296 | |
| 2 | 2020 | 159 | |
| 3 | 2019 | 118 | |
| 4 | 2020 | 115 | |
| 5 | 2022 | 93 | |
| 6 | 2022 | 85 | |
| 7 | 2015 | 49 | |
| 8 | 2021 | 46 | |
| 9 | 2019 | 40 | |
| 10 | 2016 | 39 | |
| 11 | 2022 | 35 | |
| 12 | 2020 | 35 | |
| 13 | 2022 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2020 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 2014 | 20 | |
| 20 | 2023 | 17 |
About Zhangli Su
Zhangli Su is a scholar working on Molecular Biology, Cancer Research, Ecology, Infectious Diseases and Oncology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), RNA and protein synthesis mechanisms (10 papers), Genomics and Chromatin Dynamics (8 papers), Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (7 papers), Bacteriophages and microbial interactions (5 papers), DNA Repair Mechanisms (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Cancer Research (461 citations), Molecular Biology (1.1k citations), Structural Biology (21 citations), Ecology (146 citations) and Environmental Engineering (73 citations). Zhangli Su has collaborated with scholars based in United States, France and Georgia. Frequent co-authors include Anindya Dutta, Pankaj Kumar, Canan Kuscu, Asrar Ahmad Malik, Briana Wilson, Manjari Kiran, Fengbin Wang, Etsuko Shibata, Edward H. Egelman and John M. Denu. Their work appears in journals such as Nature Communications, The FASEB Journal, Nature Microbiology, Proceedings of the National Academy of Sciences and PLoS Genetics.
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.