Rui Su

3.7k total citations · 1 hit paper
165 papers, 2.7k citations indexed

About

Rui Su is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Rui Su has authored 165 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 34 papers in Genetics and 31 papers in Cancer Research. Recurrent topics in Rui Su's work include Genetic and phenotypic traits in livestock (30 papers), Cancer-related molecular mechanisms research (30 papers) and Hair Growth and Disorders (25 papers). Rui Su is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Cancer-related molecular mechanisms research (30 papers) and Hair Growth and Disorders (25 papers). Rui Su collaborates with scholars based in China, Canada and Sudan. Rui Su's co-authors include Xingguang Zhao, Wang Ju, J. Wang, Liang Chen, Jinquan Li, Ming Cai, Kun Du, Ming Tao, Shaofeng Wang and Ruijun Wang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rui Su

148 papers receiving 2.7k citations

Hit Papers

The Beishan underground r... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Beishan underground research laboratory for geological disposal of high-level radioactive waste in China: Planning, site selection, site characterization and in situ tests
    2018 266 citations Rui Su et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rui Su 981 473 454 430 345 165 2.7k
Shuren Wang 895 0.9× 268 0.6× 706 1.6× 267 0.6× 962 2.8× 302 4.4k
Shumin Liu 909 0.9× 159 0.3× 214 0.5× 712 1.7× 449 1.3× 114 3.1k
Jianjun Hu 497 0.5× 141 0.3× 146 0.3× 264 0.6× 282 0.8× 85 2.3k
Song Luo 1.9k 1.9× 925 2.0× 739 1.6× 732 1.7× 976 2.8× 102 3.8k
Xinyu Liu 325 0.3× 329 0.7× 991 2.2× 142 0.3× 67 0.2× 161 2.3k
Xuhui Zhang 348 0.4× 54 0.1× 207 0.5× 271 0.6× 171 0.5× 159 3.3k
Jiangang Chen 125 0.1× 707 1.5× 516 1.1× 38 0.1× 98 0.3× 133 2.2k
Yanhui Li 194 0.2× 83 0.2× 281 0.6× 38 0.1× 118 0.3× 221 4.5k
Bang Li 121 0.1× 48 0.1× 61 0.1× 46 0.1× 310 0.9× 126 2.5k
Chun Liu 69 0.1× 198 0.4× 108 0.2× 26 0.1× 232 0.7× 91 1.5k

Countries citing papers authored by Rui Su

Since Specialization
Citations

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

Fields of papers citing papers by Rui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Su

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Su. A scholar is included among the top collaborators of Rui Su 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 Rui Su. Rui Su 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
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Zhang, Tao, Qi Xu, Yifan Liu, et al.. (2025). Genomic Selection for Early Growth Traits in Inner Mongolian Cashmere Goats Using ABLUP, GBLUP, and ssGBLUP Methods. Animals. 15(12). 1733–1733. 1 indexed citations
3.
Lv, Qi, Zhiying Wang, Rui Su, et al.. (2025). Whole-genome selection signatures identified candidate genes associated with cashmere traits in Inner Mongolia cashmere goats. Animal Bioscience. 38(12). 2597–2611.
4.
Su, Rui, et al.. (2024). The recovery of decreased executive attention in Tibetan migrants at high‐altitude. European Journal of Neuroscience. 60(10). 6525–6542. 1 indexed citations
5.
Su, Rui, Yanjiao Gao, Xu Ma, et al.. (2024). Cotreatment strategy for hazardous arsenic-calcium residue and siderite tailings via arsenic fixation as scorodite. Journal of Environmental Sciences. 153. 118–127. 4 indexed citations
6.
Wang, Xinle, Na Qin, Furong Guo, et al.. (2024). Genome-wide association study for cashmere traits in Inner Mongolia cashmere goat population reveals new candidate genes and haplotypes. BMC Genomics. 25(1). 658–658. 6 indexed citations
7.
Su, Rui, Dayong Zhao, Zhongbo Yu, et al.. (2024). Seasonal wet–dry transition and denitrifying communities contributed to nitrous oxide emissions in the water-level fluctuating zone of the largest freshwater lake in China. Journal of Hydrology. 644. 132077–132077. 2 indexed citations
8.
Yang, Bo, Xuetong Wang, Jiale Li, et al.. (2024). Optimal planning of electric-heating integrated energy system in low-carbon park with energy storage system. Journal of Energy Storage. 99. 113327–113327. 21 indexed citations
9.
Zheng, Qiguang, et al.. (2024). Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis. International Journal of Medical Informatics. 191. 105555–105555. 1 indexed citations
10.
Wang, Ruijun, Yan Liu, Yue Shi, et al.. (2023). Study of genetic parameters for pre-weaning growth traits in inner Mongolia white Arbas cashmere goats. Frontiers in Veterinary Science. 9. 1026528–1026528. 4 indexed citations
11.
Lu, Zeyu, Junyang Liu, Qing Mu, et al.. (2023). Melatonin regulates the periodic growth of secondary hair follicles through the nuclear receptor RORα. Frontiers in Veterinary Science. 10. 1203302–1203302. 6 indexed citations
12.
Tian, Qiong, Hang Zhao, Xin Wang, et al.. (2023). Hairy‐Skin‐Adaptive Viscoelastic Dry Electrodes for Long‐Term Electrophysiological Monitoring. Advanced Materials. 35(30). e2211236–e2211236. 52 indexed citations
13.
Qin, Qing, Xuewu Li, Juntao Guo, et al.. (2023). Proteomics Analysis of Meat to Identify Goat Intramuscular Fat Deposits Potential Biomarkers. Food Analytical Methods. 16(7). 1191–1202. 5 indexed citations
14.
Zhou, Yuyin, Matthew J. Hamilton, Li Zhang, et al.. (2023). p-Cresol Sulfate Is a Sensitive Urinary Marker of Fecal Microbiota Transplantation and Antibiotics Treatments in Human Patients and Mouse Models. International Journal of Molecular Sciences. 24(19). 14621–14621. 5 indexed citations
15.
Li, Yanan, et al.. (2022). Water-Rock Interaction of Granite From Borehole BS34 at Different Temperatures. SHILAP Revista de lepidopterología. 1 indexed citations
16.
17.
Zhang, Zhiyang, Rui Su, Fei Han, et al.. (2022). A soft intelligent dressing with pH and temperature sensors for early detection of wound infection. RSC Advances. 12(6). 3243–3252. 27 indexed citations
18.
19.
Chen, Zhilong, Jinyu Han, Lunbo Tan, et al.. (2019). R-spondin3 promotes the tumor growth of choriocarcinoma JEG-3 cells. American Journal of Physiology-Cell Physiology. 318(3). C664–C674. 7 indexed citations
20.
Wang, Zhiying, Lei Hong, Zhixin Wang, et al.. (2013). Estimates of genetic parameters and genetic changes for fleece traits in Inner Mongolia cashmere goats. Small Ruminant Research. 117(1). 41–46. 7 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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