Qi Yan
Impact in
- Aging top 10%
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 3
- RNA Research and Splicing 2
-
- MicroRNA in disease regulation 3
- Co-authors
- Taiowa A. Montgomery (1 shared paper)Zhen Shi (1 shared paper)Gary Ruvkun (1 shared paper)Wei Shen (1 shared paper)Zhiguo Liu (1 shared paper)Wei Ge (1 shared paper)Zhe Han (1 shared paper)Sangiliyandi Gurunathan (1 shared paper)
- Journals
- Epilepsy & Behavior (1 paper)IEEE Wireless Communications (1 paper)Nucleic Acids Research (1 paper)Frontiers in Microbiology (1 paper)Ecological Indicators (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qi Yan
31 papers receiving 544 citations
Peers
Comparison fields: 5 of 106
- Aging 22
- Cancer Research 74
- Pharmacology 40
- Molecular Biology 192
- Reproductive Medicine 19
Countries citing papers authored by Qi Yan
This map shows the geographic impact of Qi 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 Qi Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yan more than expected).
Fields of papers citing papers by Qi Yan
This network shows the impact of papers produced by Qi 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 Qi Yan. The network helps show where Qi Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2017 | 77 | |
| 3 | 2018 | 60 | |
| 4 | 2013 | 50 | |
| 5 | 2019 | 38 | |
| 6 | 2021 | 35 | |
| 7 | 2020 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2011 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 11 | |
| 13 | [Study on the expression of BDNF in human gliomas]. | 2009 | 11 |
| 14 | 2020 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 6 |
About Qi Yan
Qi Yan is a scholar working on Molecular Biology, Cancer Research, Oceanography, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 549 indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Marine and coastal ecosystems (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), MicroRNA in disease regulation (3 papers), Marine Bivalve and Aquaculture Studies (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Aging (22 citations), Cancer Research (74 citations), Pharmacology (40 citations), Molecular Biology (192 citations) and Reproductive Medicine (19 citations). Qi Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Taiowa A. Montgomery, Zhen Shi, Gary Ruvkun, Wei Shen, Zhiguo Liu, Wei Ge, Zhe Han, Sangiliyandi Gurunathan, Xifeng Zhang and Zhonghua Cai. Their work appears in journals such as Epilepsy & Behavior, IEEE Wireless Communications, Nucleic Acids Research, Frontiers in Microbiology and Ecological Indicators.
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.