Rula Sa

485 total citations
41 papers, 322 citations indexed

About

Rula Sa is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Rula Sa has authored 41 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Plant Science and 6 papers in Ecology. Recurrent topics in Rula Sa's work include Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (3 papers) and Pluripotent Stem Cells Research (3 papers). Rula Sa is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (3 papers) and Pluripotent Stem Cells Research (3 papers). Rula Sa collaborates with scholars based in China, United States and Russia. Rula Sa's co-authors include Wenyi Fan, Jinghui Liu, Na Zhang, Ruizong Jia, Lan Wu, Haiquan Yu, Yan Qin, Na Zhang, Yuqing Wang and Takeshi Haraguchi and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Rula Sa

38 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rula Sa China 11 149 90 46 39 30 41 322
Thomas J. Wrobel Germany 8 166 1.1× 125 1.4× 59 1.3× 25 0.6× 40 1.3× 9 303
Chang Gyo Jung United States 9 108 0.7× 97 1.1× 81 1.8× 17 0.4× 76 2.5× 17 310
Xuelin Wang China 10 79 0.5× 153 1.7× 25 0.5× 71 1.8× 17 0.6× 15 300
Chengke Luo China 11 303 2.0× 114 1.3× 23 0.5× 28 0.7× 17 0.6× 22 403
Violeta Babić Serbia 8 305 2.0× 244 2.7× 23 0.5× 22 0.6× 51 1.7× 22 410
Catherine Massonnet France 11 367 2.5× 122 1.4× 41 0.9× 22 0.6× 188 6.3× 17 485
Jiří Kubásek Czechia 13 252 1.7× 114 1.3× 32 0.7× 124 3.2× 100 3.3× 27 377
Tsung‐Hsin Hsieh Taiwan 10 104 0.7× 120 1.3× 51 1.1× 188 4.8× 31 1.0× 33 372
Kohei Koyama Japan 11 187 1.3× 124 1.4× 72 1.6× 106 2.7× 110 3.7× 34 398

Countries citing papers authored by Rula Sa

Since Specialization
Citations

This map shows the geographic impact of Rula Sa'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 Rula Sa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rula Sa more than expected).

Fields of papers citing papers by Rula Sa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rula Sa. 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 Rula Sa. The network helps show where Rula Sa may publish in the future.

Co-authorship network of co-authors of Rula Sa

This figure shows the co-authorship network connecting the top 25 collaborators of Rula Sa. A scholar is included among the top collaborators of Rula Sa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rula Sa. Rula Sa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Liu, Lei, et al.. (2024). Priority Conservation Area of Quercus mongolica Under Climate Change: Application of an Ensemble Modeling. Sustainability. 16(22). 9816–9816. 2 indexed citations
4.
Yi, Ru, et al.. (2024). Identification and analysis of the SAURs in Prunus sibirica. Dendrobiology. 91. 42–55.
7.
Sa, Rula, et al.. (2023). Combining Multi-Dimensional SAR Parameters to Improve RVoG Model for Coniferous Forest Height Inversion Using ALOS-2 Data. Remote Sensing. 15(5). 1272–1272. 8 indexed citations
8.
Wang, Jie, et al.. (2023). A homozygous EVC mutation in a prenatal fetus with Ellis–van Creveld syndrome. Molecular Genetics & Genomic Medicine. 11(8). e2183–e2183. 3 indexed citations
9.
Wang, Zirui, et al.. (2023). Priority conservation area of Larix gmelinii under climate change: application of an ensemble modeling. Frontiers in Plant Science. 14. 1177307–1177307. 14 indexed citations
10.
Liang, Jingwen, et al.. (2023). Soil microbial diversity under different types of interference in birch secondary forest in the Greater Khingan Mountains in China. Frontiers in Microbiology. 14. 1267746–1267746. 6 indexed citations
12.
Sa, Rula, Xiaoling Song, Zhiwei Li, et al.. (2021). Chromosome-Level Genome Assembly and Annotation of the Fiber Flax (Linum usitatissimum) Genome. Frontiers in Genetics. 12. 735690–735690. 17 indexed citations
13.
14.
Qin, Yan, Jinghui Liu, Yuqing Wang, et al.. (2016). Proteomic response of oat leaves to long-term salinity stress. Environmental Science and Pollution Research. 24(4). 3387–3399. 30 indexed citations
16.
Liu, Jinghui, et al.. (2013). Effect of Salt Stress on Antioxidant Enzymes, Soluble Sugar and Yield of Oat. Advance Journal of Food Science and Technology. 5(3). 303–309. 6 indexed citations
17.
Sa, Rula, et al.. (2013). Cation-Responsive Mechanisms of Oats to Alkali Stress. ACTA AGRONOMICA SINICA. 40(2). 362–368. 3 indexed citations
18.
Wang, Zhenfei, et al.. (2013). Remodeling epigenetic modifications at tumor suppressor gene promoters with bovine oocyte extract. Cytotherapy. 15(9). 1164–1173. 3 indexed citations
19.
Gao, Haixia, et al.. (2013). The effect of valproic acid on bovine oocyte maturation and early embryonic development in vitro. Cytotechnology. 66(3). 525–532. 7 indexed citations
20.
Sa, Rula. (2009). Review on Fibroblast Growth Factor(FGF). Anhui nongye kexue. 1 indexed citations

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.

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