Ting La
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
-
- Melanoma and MAPK Pathways 3
- RNA Research and Splicing 2
- Heat shock proteins research 2
- Ubiquitin and proteasome pathways 2
- Oncology 7
- Cancer-related Molecular Pathways 4
- Co-authors
- Xu Dong Zhang (13 shared papers)Rick F. Thorne (10 shared papers)Lei Jin (9 shared papers)Xu Guang Yan (8 shared papers)Jiaqi Huang (1 shared paper)Yanfang Wu (1 shared paper)Yong Cui (1 shared paper)Feifei Zhang (1 shared paper)
- Journals
- Cancer Research (4 papers)Oncotarget (2 papers)Scientific Reports (1 paper)Communications Earth & Environment (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ting La
18 papers receiving 618 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 309
- Molecular Biology 370
- Biophysics 29
- Immunology 87
- Oncology 86
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 232 | |
| 2 | 2020 | 79 | |
| 3 | 2016 | 54 | |
| 4 | 2017 | 41 | |
| 5 | 2016 | 35 | |
| 6 | 2018 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2017 | 25 | |
| 10 | 2022 | 20 | |
| 11 | 2023 | 17 | |
| 12 | 2021 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Ting La
Ting La is a scholar working on Molecular Biology, Oncology, Cancer Research, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 622 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), Zoonotic diseases and public health (2 papers), RNA Research and Splicing (2 papers), Heat shock proteins research (2 papers), Viral Infections and Vectors (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (309 citations), Molecular Biology (370 citations), Biophysics (29 citations), Immunology (87 citations) and Oncology (86 citations). Ting La has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xu Dong Zhang, Rick F. Thorne, Lei Jin, Xu Guang Yan, Jiaqi Huang, Yanfang Wu, Yong Cui, Feifei Zhang, Jing Zeng and Wanling Yang. Their work appears in journals such as Cancer Research, Oncotarget, Scientific Reports, Communications Earth & Environment and Journal of Autoimmunity.
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.