Ling Yi
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
-
- Assisted Reproductive Technology and Twin Pregnancy
- Prenatal Screening and Diagnostics
- Birth, Development, and Health
Papers in
-
- Assisted Reproductive Technology and Twin Pregnancy 3
- Surgery 4
- Co-authors
- Changfei Deng (10 shared papers)Li Dai (9 shared papers)Xiaohong Li (6 shared papers)Yi Mu (7 shared papers)Jun Zhu (6 shared papers)Kui Deng (6 shared papers)Qi Li (4 shared papers)Yanping Wang (2 shared papers)
- Journals
- PLoS ONE (3 papers)Heart (2 papers)BMC Pregnancy and Childbirth (1 paper)The Lancet Global Health (1 paper)Prenatal Diagnosis (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Yi
25 papers receiving 373 citations
Peers
Comparison fields: 5 of 74
- Obstetrics and Gynecology 66
- Pediatrics, Perinatology and Child Health 103
- Surgery 87
- Otorhinolaryngology 8
- Health, Toxicology and Mutagenesis 21
Countries citing papers authored by Ling Yi
This map shows the geographic impact of Ling Yi'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 Ling Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yi more than expected).
Fields of papers citing papers by Ling Yi
This network shows the impact of papers produced by Ling Yi. 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 Ling Yi. The network helps show where Ling Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | 2015 | 55 | |
| 3 | 2017 | 54 | |
| 4 | 2014 | 46 | |
| 5 | 2019 | 36 | |
| 6 | 2017 | 27 | |
| 7 | 2014 | 22 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2007 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2017 | 6 | |
| 15 | [An descriptive epidemiological study on congenital clubfoot in China during 2001 to 2010]. | 2013 | 5 |
| 16 | 2007 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 1 |
About Ling Yi
Ling Yi is a scholar working on Pediatrics, Perinatology and Child Health, Surgery, Infectious Diseases, Oncology and Epidemiology, having authored 28 papers that have together received 397 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Ovarian function and disorders (2 papers), Pneumonia and Respiratory Infections (2 papers), Fiscal Policy and Economic Growth (2 papers), Global trade and economics (2 papers), Folate and B Vitamins Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Obstetrics and Gynecology (66 citations), Pediatrics, Perinatology and Child Health (103 citations), Surgery (87 citations), Otorhinolaryngology (8 citations) and Health, Toxicology and Mutagenesis (21 citations). Ling Yi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changfei Deng, Li Dai, Xiaohong Li, Yi Mu, Jun Zhu, Kui Deng, Qi Li, Yanping Wang, Qiang Yao and Yanhua Li. Their work appears in journals such as PLoS ONE, Heart, BMC Pregnancy and Childbirth, The Lancet Global Health and Prenatal Diagnosis.
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.