Yan Long
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 11
- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 4
-
- Birth, Development, and Health 6
- Co-authors
- Hongmei Wang (13 shared papers)Xiaoqing Yuan (5 shared papers)Linglong Zou (5 shared papers)Keyi Yang (5 shared papers)Zhenyu Xiao (5 shared papers)Jie Hao (4 shared papers)Jiao Sun (1 shared paper)Jun Wu (3 shared papers)
- Journals
- Cell Proliferation (4 papers)Stem Cell Research & Therapy (3 papers)Stem Cell Research (2 papers)Journal of Biological Chemistry (2 papers)Phytomedicine (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yan Long
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Developmental Neuroscience 95
- Genetics 193
- Obstetrics and Gynecology 118
- Molecular Biology 509
- Reproductive Medicine 58
Countries citing papers authored by Yan Long
This map shows the geographic impact of Yan Long'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 Yan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Long more than expected).
Fields of papers citing papers by Yan Long
This network shows the impact of papers produced by Yan Long. 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 Yan Long. The network helps show where Yan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Long, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 153 | |
| 2 | 2018 | 97 | |
| 3 | 2016 | 70 | |
| 4 | 2019 | 69 | |
| 5 | 2002 | 68 | |
| 6 | 2020 | 63 | |
| 7 | 2002 | 61 | |
| 8 | 2020 | 60 | |
| 9 | 2019 | 56 | |
| 10 | 2022 | 54 | |
| 11 | 2015 | 54 | |
| 12 | 2023 | 48 | |
| 13 | 2020 | 46 | |
| 14 | 2019 | 39 | |
| 15 | 2024 | 39 | |
| 16 | 2018 | 35 | |
| 17 | 2016 | 31 | |
| 18 | 2014 | 31 | |
| 19 | 2022 | 25 | |
| 20 | 2024 | 25 |
About Yan Long
Yan Long is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Surgery and Obstetrics and Gynecology, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Pregnancy and preeclampsia studies (7 papers), Reproductive Biology and Fertility (7 papers), Mesenchymal stem cell research (6 papers), Birth, Development, and Health (6 papers), CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (4 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Developmental Neuroscience (95 citations), Genetics (193 citations), Obstetrics and Gynecology (118 citations), Molecular Biology (509 citations) and Reproductive Medicine (58 citations). Yan Long has collaborated with scholars based in China, United States and India. Frequent co-authors include Hongmei Wang, Xiaoqing Yuan, Linglong Zou, Keyi Yang, Zhenyu Xiao, Jie Hao, Jiao Sun, Jun Wu, Shengdi Chen and Qin Chen. Their work appears in journals such as Cell Proliferation, Stem Cell Research & Therapy, Stem Cell Research, Journal of Biological Chemistry and Phytomedicine.
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.