Peiling Li
Impact in
- Reproductive Medicine top 2%
- Endometriosis Research and Treatment
- Ovarian function and disorders
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Ovarian cancer diagnosis and treatment 7
- Ovarian function and disorders 4
-
- Cancer-related molecular mechanisms research 8
- Co-authors
- Fadi Chen (15 shared papers)Aiping Song (14 shared papers)Sumei Chen (11 shared papers)Jiafu Jiang (12 shared papers)Jing Jiang (6 shared papers)Meimei Liu (11 shared papers)Beidi Wang (7 shared papers)Hao Wang (5 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Journal of Ovarian Research (2 papers)Ecological Indicators (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Peiling Li
116 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Reproductive Medicine 261
- Cancer Research 249
- Plant Science 485
- Biological Psychiatry 15
- Molecular Biology 538
Countries citing papers authored by Peiling Li
This map shows the geographic impact of Peiling Li'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 Peiling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiling Li more than expected).
Fields of papers citing papers by Peiling Li
This network shows the impact of papers produced by Peiling Li. 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 Peiling Li. The network helps show where Peiling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiling Li, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 102 | |
| 2 | 2015 | 102 | |
| 3 | 2019 | 98 | |
| 4 | 2019 | 83 | |
| 5 | 2015 | 75 | |
| 6 | 2015 | 74 | |
| 7 | 2018 | 70 | |
| 8 | 2015 | 62 | |
| 9 | 2015 | 53 | |
| 10 | 2011 | 51 | |
| 11 | 2015 | 48 | |
| 12 | 2014 | 45 | |
| 13 | 2020 | 44 | |
| 14 | 2017 | 42 | |
| 15 | 2020 | 41 | |
| 16 | 2014 | 40 | |
| 17 | 2020 | 38 | |
| 18 | 2015 | 35 | |
| 19 | 2018 | 33 | |
| 20 | 2023 | 33 |
About Peiling Li
Peiling Li is a scholar working on Reproductive Medicine, Cancer Research, Plant Science, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 120 papers that have together received 2.3k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (8 papers), Cancer-related molecular mechanisms research (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Cardiac Imaging and Diagnostics (5 papers), Plant Molecular Biology Research (5 papers), Ovarian function and disorders (4 papers), Plant Gene Expression Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Reproductive Medicine (261 citations), Cancer Research (249 citations), Plant Science (485 citations), Biological Psychiatry (15 citations) and Molecular Biology (538 citations). Peiling Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Fadi Chen, Aiping Song, Sumei Chen, Jiafu Jiang, Jing Jiang, Meimei Liu, Beidi Wang, Hao Wang, Daling Zhu and Zongfeng Zhang. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, PLoS ONE, Journal of Ovarian Research and Ecological Indicators.
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.