Xin Luo
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- COVID-19 Impact on Reproduction
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Pregnancy and preeclampsia studies 18
- COVID-19 Impact on Reproduction 3
- Endometrial and Cervical Cancer Treatments 2
-
- Liver physiology and pathology 3
- Co-authors
- Hongbo Qi (24 shared papers)Mingyi Xu (4 shared papers)Shengzheng Luo (4 shared papers)Xiru Liu (9 shared papers)Nan Shan (8 shared papers)Chao Tong (6 shared papers)Philip Newton Baker (7 shared papers)Wei Bao (3 shared papers)
- Journals
- The Journal of Maternal-Fetal & Neonatal Medicine (5 papers)Reproductive Sciences (4 papers)PLoS ONE (2 papers)Biology of Reproduction (2 papers)World Journal of Gastroenterology (2 papers)
- Partner nations
- ChinaUnited KingdomNew Zealand
In The Last Decade
Xin Luo
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Obstetrics and Gynecology 377
- Cancer Research 114
- Hepatology 42
- Molecular Biology 236
- Epidemiology 90
Countries citing papers authored by Xin Luo
This map shows the geographic impact of Xin 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 Xin Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Luo more than expected).
Fields of papers citing papers by Xin Luo
This network shows the impact of papers produced by Xin 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 Xin Luo. The network helps show where Xin Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 77 | |
| 2 | 2013 | 72 | |
| 3 | 2020 | 60 | |
| 4 | 2021 | 59 | |
| 5 | 2011 | 52 | |
| 6 | 2021 | 46 | |
| 7 | 2018 | 44 | |
| 8 | 2020 | 43 | |
| 9 | 2023 | 36 | |
| 10 | 2013 | 34 | |
| 11 | 2013 | 33 | |
| 12 | 2014 | 33 | |
| 13 | 2016 | 32 | |
| 14 | 2018 | 32 | |
| 15 | 2015 | 31 | |
| 16 | 2020 | 29 | |
| 17 | 2013 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 2017 | 24 | |
| 20 | 2013 | 22 |
About Xin Luo
Xin Luo is a scholar working on Obstetrics and Gynecology, Hepatology, Epidemiology, Cancer Research and Critical Care and Intensive Care Medicine, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (18 papers), Preterm Birth and Chorioamnionitis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Liver physiology and pathology (3 papers), COVID-19 Impact on Reproduction (3 papers), Cancer Cells and Metastasis (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Obstetrics and Gynecology (377 citations), Cancer Research (114 citations), Hepatology (42 citations), Molecular Biology (236 citations) and Epidemiology (90 citations). Xin Luo has collaborated with scholars based in China, United Kingdom and New Zealand. Frequent co-authors include Hongbo Qi, Mingyi Xu, Shengzheng Luo, Xiru Liu, Nan Shan, Chao Tong, Philip Newton Baker, Wei Bao, Haifeng Qiu and Tingting Yang. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Reproductive Sciences, PLoS ONE, Biology of Reproduction and World Journal of Gastroenterology.
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.