Ting La
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biophysics top 10%
- Electromagnetic Fields and Biological Effects
Papers in
- Oncology 7
- Cancer-related Molecular Pathways 4
-
- Melanoma and MAPK Pathways 3
- Ubiquitin and proteasome pathways 2
- Heat shock proteins research 2
- Co-authors
- Xu Dong Zhang (13 shared papers)Lei Jin (9 shared papers)Rick F. Thorne (10 shared papers)Xu Guang Yan (8 shared papers)Yuchen Feng (9 shared papers)Yihong Yao (1 shared paper)Wei Zhu (1 shared paper)Yanfang Wu (1 shared paper)
- Journals
- Cancer Research (4 papers)Oncotarget (2 papers)Journal of Investigative Dermatology (1 paper)One Health (1 paper)Plant Science (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ting La
18 papers receiving 649 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 272
- Biophysics 30
- Molecular Biology 325
- Immunology 75
- Oncology 81
Countries citing papers authored by Ting La
This map shows the geographic impact of Ting La'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 La with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting La more than expected).
Fields of papers citing papers by Ting La
This network shows the impact of papers produced by Ting La. 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 La. The network helps show where Ting La may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting La, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 236 | |
| 2 | 2020 | 84 | |
| 3 | 2016 | 54 | |
| 4 | 2017 | 44 | |
| 5 | 2016 | 35 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2017 | 27 | |
| 10 | 2022 | 25 | |
| 11 | 2023 | 20 | |
| 12 | 2021 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ting La
Ting La is a scholar working on Oncology, Molecular Biology, Cancer Research, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 655 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Melanoma and MAPK Pathways (3 papers), Cancer-related molecular mechanisms research (3 papers), Ubiquitin and proteasome pathways (2 papers), Zoonotic diseases and public health (2 papers), Heat shock proteins research (2 papers), Viral Infections and Vectors (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cancer Research (272 citations), Biophysics (30 citations), Molecular Biology (325 citations), Immunology (75 citations) and Oncology (81 citations). Ting La has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xu Dong Zhang, Lei Jin, Rick F. Thorne, Xu Guang Yan, Yuchen Feng, Yihong Yao, Wei Zhu, Yanfang Wu, Feifei Zhang and Yong Cui. Their work appears in journals such as Cancer Research, Oncotarget, Journal of Investigative Dermatology, One Health and Plant Science.
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.