Da Li
Impact in
- Reproductive Medicine top 1%
- Ovarian function and disorders
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 11
-
- Ovarian function and disorders 17
- Endometriosis Research and Treatment 6
- Co-authors
- Xiuxia Wang (19 shared papers)Jiao Jiao (15 shared papers)Yiming Zhou (15 shared papers)Qi‐Jun Wu (15 shared papers)Fangfang Bi (13 shared papers)Bei Shi (16 shared papers)Shi‐Sheng Zhou (11 shared papers)Tie‐Ning Zhang (9 shared papers)
- Journals
- Oncotarget (8 papers)Scientific Reports (7 papers)Frontiers in Endocrinology (5 papers)Human Reproduction (5 papers)Frontiers in Oncology (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Da Li
151 papers receiving 3.2k citations
Da Li's Hit Papers
Peers
Comparison fields: 5 of 135
- Reproductive Medicine 510
- Cancer Research 476
- Geriatrics and Gerontology 82
- Obstetrics and Gynecology 154
- Hepatology 147
Countries citing papers authored by Da Li
This map shows the geographic impact of Da 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 Da Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Li more than expected).
Fields of papers citing papers by Da Li
This network shows the impact of papers produced by Da 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 Da Li. The network helps show where Da Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epigenetics-targeted drugs: current paradigms and future challenges Hit paper breakdown → | 2024 | 130 |
| 2 | 2013 | 125 | |
| 3 | Recurrent implantation failure: A comprehensive summary from etiology to treatment Hit paper breakdown → | 2023 | 100 |
| 4 | Reactive oxygen species and ovarian diseases: Antioxidant strategies Hit paper breakdown → | 2023 | 89 |
| 5 | 2016 | 87 | |
| 6 | 2017 | 81 | |
| 7 | 2018 | 72 | |
| 8 | 2014 | 71 | |
| 9 | 2018 | 70 | |
| 10 | 2019 | 63 | |
| 11 | 2017 | 63 | |
| 12 | 2019 | 62 | |
| 13 | 2014 | 60 | |
| 14 | 2020 | 59 | |
| 15 | 2017 | 55 | |
| 16 | 2013 | 54 | |
| 17 | 2018 | 53 | |
| 18 | 2018 | 50 | |
| 19 | 2010 | 47 | |
| 20 | 2012 | 46 |
About Da Li
Da Li is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Immunology, having authored 156 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ovarian function and disorders (17 papers), Reproductive Biology and Fertility (15 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Sirtuins and Resveratrol in Medicine (7 papers), Endometriosis Research and Treatment (6 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Reproductive Medicine (510 citations), Cancer Research (476 citations), Geriatrics and Gerontology (82 citations), Obstetrics and Gynecology (154 citations) and Hepatology (147 citations). Da Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiuxia Wang, Jiao Jiao, Yiming Zhou, Qi‐Jun Wu, Fangfang Bi, Bei Shi, Shi‐Sheng Zhou, Tie‐Ning Zhang, Wenyan Gao and Ji-Min Cao. Their work appears in journals such as Oncotarget, Scientific Reports, Frontiers in Endocrinology, Human Reproduction and Frontiers in Oncology.
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.