Ting Yan
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- Insect Resistance and Genetics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Wnt/β-catenin signaling in development and cancer
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- RNA Research and Splicing 5
- RNA Interference and Gene Delivery 4
-
- Plant Virus Research Studies 3
- Co-authors
- Yichao Zhu (7 shared papers)Chunyi Zhi (2 shared papers)Shini Feng (2 shared papers)Xiao‐Dong Gao (2 shared papers)Huijie Zhang (2 shared papers)Hada Wuriyanghan (4 shared papers)Xiudao Yu (1 shared paper)Lanqin Xia (1 shared paper)
- Journals
- Cancer Cell International (3 papers)PLANT PHYSIOLOGY (2 papers)Oncotarget (2 papers)International Journal of Nanomedicine (2 papers)Annals of Human Genetics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ting Yan
42 papers receiving 806 citations
Peers
Comparison fields: 5 of 108
- Cancer Research 143
- Molecular Biology 447
- Plant Science 175
- Insect Science 49
- Biotechnology 29
Countries citing papers authored by Ting Yan
This map shows the geographic impact of Ting 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 Ting Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Yan more than expected).
Fields of papers citing papers by Ting Yan
This network shows the impact of papers produced by Ting 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 Ting Yan. The network helps show where Ting Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 68 | |
| 2 | 1991 | 56 | |
| 3 | 2016 | 54 | |
| 4 | 2016 | 51 | |
| 5 | 2023 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2015 | 33 | |
| 8 | 2019 | 29 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 29 | |
| 11 | 2019 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2023 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2017 | 18 |
About Ting Yan
Ting Yan is a scholar working on Molecular Biology, Plant Science, Genetics, Oncology and Cancer Research, having authored 44 papers that have together received 817 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (5 papers), Genetic and phenotypic traits in livestock (4 papers), RNA Interference and Gene Delivery (4 papers), Plant Virus Research Studies (3 papers), Genetic Associations and Epidemiology (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (143 citations), Molecular Biology (447 citations), Plant Science (175 citations), Insect Science (49 citations) and Biotechnology (29 citations). Ting Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yichao Zhu, Chunyi Zhi, Shini Feng, Xiao‐Dong Gao, Huijie Zhang, Hada Wuriyanghan, Xiudao Yu, Lanqin Xia, Yongwei Sun and Hongmei Chen. Their work appears in journals such as Cancer Cell International, PLANT PHYSIOLOGY, Oncotarget, International Journal of Nanomedicine and Annals of Human 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.