Ting Luan
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Endometriosis Research and Treatment
- Biochemistry top 10%
- Biochemical Acid Research Studies
Papers in ⓘ
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- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 8
- Co-authors
- Guo‐Fu Li (4 shared papers)Bin Zang (3 shared papers)Yang Zhao (2 shared papers)Shi Fu (11 shared papers)Jiansong Wang (9 shared papers)Jiansong Wang (10 shared papers)Haifeng Wang (2 shared papers)Xin Zeng (11 shared papers)
- Journals
- Frontiers in Microbiology (2 papers)Frontiers in Immunology (2 papers)Journal of Biomedical Nanotechnology (2 papers)Journal of Ovarian Research (2 papers)International Journal of Gynecology & Obstetrics (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ting Luan
58 papers receiving 637 citations
Peers
Comparison fields: 5 of 95
- Reproductive Medicine 99
- Biochemistry 61
- Cancer Research 91
- Biological Psychiatry 12
- Applied Microbiology and Biotechnology 9
Countries citing papers authored by Ting Luan
This map shows the geographic impact of Ting Luan'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 Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Luan more than expected).
Fields of papers citing papers by Ting Luan
This network shows the impact of papers produced by Ting Luan. 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 Luan. The network helps show where Ting Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Luan, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2016 | 48 | |
| 3 | 2016 | 48 | |
| 4 | 2020 | 42 | |
| 5 | 2019 | 41 | |
| 6 | 2018 | 35 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2020 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2018 | 9 |
About Ting Luan
Ting Luan is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 61 papers that have together received 645 indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Cancer-related molecular mechanisms research (8 papers), Bladder and Urothelial Cancer Treatments (7 papers), Reproductive System and Pregnancy (6 papers), Immune Response and Inflammation (5 papers), Reproductive Biology and Fertility (5 papers), RNA modifications and cancer (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Reproductive Medicine (99 citations), Biochemistry (61 citations), Cancer Research (91 citations), Biological Psychiatry (12 citations) and Applied Microbiology and Biotechnology (9 citations). Ting Luan has collaborated with scholars based in China and United States. Frequent co-authors include Guo‐Fu Li, Bin Zang, Yang Zhao, Shi Fu, Jiansong Wang, Jiansong Wang, Haifeng Wang, Xin Zeng, Pengfei Xu and Chun Zhao. Their work appears in journals such as Frontiers in Microbiology, Frontiers in Immunology, Journal of Biomedical Nanotechnology, Journal of Ovarian Research and International Journal of Gynecology & Obstetrics.
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.