Xiaojuan Ran
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Wheat and Barley Genetics and Pathology
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- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
- DNA Repair Mechanisms
Papers in
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- Genomics and Phylogenetic Studies 3
- DNA Repair Mechanisms 2
- Kruppel-like factors research 1
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- Plant Molecular Biology Research 2
- Chromosomal and Genetic Variations 2
- Co-authors
- Yijing Zhang (4 shared papers)Luhuan Ye (3 shared papers)Yili Zhuang (3 shared papers)Yuejun Wang (2 shared papers)Yang Yang (1 shared paper)Cuiting Wang (1 shared paper)Fei Zhao (2 shared papers)Haihai Wang (1 shared paper)
- Journals
- Genes & Development (1 paper)ACS Chemical Neuroscience (1 paper)Cell Research (1 paper)Nature Communications (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaojuan Ran
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 48
- Plant Science 209
- Molecular Biology 194
- Genetics 53
- Oncology 30
- Cancer Research 16
Countries citing papers authored by Xiaojuan Ran
This map shows the geographic impact of Xiaojuan 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 Xiaojuan Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Ran more than expected).
Fields of papers citing papers by Xiaojuan Ran
This network shows the impact of papers produced by Xiaojuan 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 Xiaojuan Ran. The network helps show where Xiaojuan Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojuan 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 | 2019 | 94 | |
| 2 | 2019 | 76 | |
| 3 | 2016 | 62 | |
| 4 | 2023 | 22 | |
| 5 | 2024 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 15 | |
| 8 | 2021 | 3 | |
| 9 | 2018 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 0 |
About Xiaojuan Ran
Xiaojuan Ran is a scholar working on Molecular Biology, Plant Science, Oncology, Pathology and Forensic Medicine and Genetics, having authored 11 papers that have together received 316 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Plant Molecular Biology Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), DNA Repair Mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), interferon and immune responses (1 paper), Kruppel-like factors research (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Plant Science (209 citations), Molecular Biology (194 citations), Genetics (53 citations), Oncology (30 citations) and Cancer Research (16 citations). Xiaojuan Ran has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yijing Zhang, Luhuan Ye, Yili Zhuang, Yuejun Wang, Yang Yang, Cuiting Wang, Fei Zhao, Haihai Wang, Jingfei Cheng and Hongxia Zhang. Their work appears in journals such as Genes & Development, ACS Chemical Neuroscience, Cell Research, Nature Communications and Breast Cancer Research and Treatment.
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.