Ting Luo
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 4
-
- Autoimmune and Inflammatory Disorders Research 5
- Co-authors
- Anshi Wu (4 shared papers)Shan–Shan Zou (3 shared papers)Xiaoqing Peng (2 shared papers)Changwei Wei (1 shared paper)Qi Li (1 shared paper)Xiaobin Zhou (1 shared paper)Keith S. Kaye (1 shared paper)Usha Srinivasan (1 shared paper)
- Journals
- Journal of Clinical Immunology (2 papers)Pediatric Blood & Cancer (1 paper)Scientific Reports (1 paper)Frontiers in Psychiatry (1 paper)Orphanet Journal of Rare Diseases (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ting Luo
19 papers receiving 316 citations
Peers
Comparison fields: 5 of 69
- Developmental Neuroscience 39
- Cancer Research 137
- Molecular Medicine 33
- Critical Care and Intensive Care Medicine 31
- Endocrinology 25
Countries citing papers authored by Ting Luo
This map shows the geographic impact of Ting Luo'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 Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Luo more than expected).
Fields of papers citing papers by Ting Luo
This network shows the impact of papers produced by Ting Luo. 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 Luo. The network helps show where Ting Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Luo, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2017 | 52 | |
| 3 | 2015 | 29 | |
| 4 | 2020 | 26 | |
| 5 | 2018 | 25 | |
| 6 | 2017 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2022 | 14 | |
| 9 | 2025 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Ting Luo
Ting Luo is a scholar working on Cancer Research, Hematology, Molecular Medicine, Infectious Diseases and Developmental Neuroscience, having authored 23 papers that have together received 317 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Autoimmune and Inflammatory Disorders Research (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Parvovirus B19 Infection Studies (4 papers), Family and Disability Support Research (3 papers), RNA modifications and cancer (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Developmental Neuroscience (39 citations), Cancer Research (137 citations), Molecular Medicine (33 citations), Critical Care and Intensive Care Medicine (31 citations) and Endocrinology (25 citations). Ting Luo has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Anshi Wu, Shan–Shan Zou, Xiaoqing Peng, Changwei Wei, Qi Li, Xiaobin Zhou, Keith S. Kaye, Usha Srinivasan, Alexander H. Rickard and Betsy Foxman. Their work appears in journals such as Journal of Clinical Immunology, Pediatric Blood & Cancer, Scientific Reports, Frontiers in Psychiatry and Orphanet Journal of Rare Diseases.
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.