Shu Ran
Impact in
-
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
-
- Bone health and osteoporosis research
Papers in
- Genetics 16
- Genetic Associations and Epidemiology 13
- Genetic and phenotypic traits in livestock 5
- Genomic variations and chromosomal abnormalities 4
- Genetic Mapping and Diversity in Plants and Animals 2
-
- Muscle Physiology and Disorders 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Lei Zhang (16 shared papers)Yu‐Fang Pei (16 shared papers)Rong Hai (12 shared papers)Hui Shen (11 shared papers)Hong‐Wen Deng (11 shared papers)Yong Lin (7 shared papers)Christopher J. Papasian (4 shared papers)Shu‐Feng Lei (4 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)Molecular Genetics and Genomics (1 paper)Journal of Hypertension (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shu Ran
20 papers receiving 228 citations
Peers
Comparison fields: 5 of 46
- Genetics 123
- Orthopedics and Sports Medicine 24
- Physiology 60
- Molecular Biology 110
- Rheumatology 23
Countries citing papers authored by Shu Ran
This map shows the geographic impact of Shu Ran'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 Shu Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Ran more than expected).
Fields of papers citing papers by Shu Ran
This network shows the impact of papers produced by Shu Ran. 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 Shu Ran. The network helps show where Shu Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 62 | |
| 2 | 2019 | 24 | |
| 3 | 2011 | 23 | |
| 4 | 2020 | 19 | |
| 5 | 2013 | 18 | |
| 6 | 2013 | 12 | |
| 7 | 2012 | 10 | |
| 8 | 2016 | 10 | |
| 9 | 2014 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Shu Ran
Shu Ran is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Physiology, having authored 20 papers that have together received 233 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Genetic and phenotypic traits in livestock (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Muscle Physiology and Disorders (3 papers), Bone health and osteoporosis research (2 papers), Genetic factors in colorectal cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Genetics (123 citations), Orthopedics and Sports Medicine (24 citations), Physiology (60 citations), Molecular Biology (110 citations) and Rheumatology (23 citations). Shu Ran has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lei Zhang, Yu‐Fang Pei, Rong Hai, Hui Shen, Hong‐Wen Deng, Yong Lin, Christopher J. Papasian, Shu‐Feng Lei, Qing Tian and Yong Liu. Their work appears in journals such as Scientific Reports, PLoS ONE, Molecular Genetics and Genomics, Journal of Hypertension and Human Molecular Genetics.
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.