Shaolin Nie

520 total citations
10 papers, 368 citations indexed

About

Shaolin Nie is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shaolin Nie has authored 10 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shaolin Nie's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Shaolin Nie is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Shaolin Nie collaborates with scholars based in China, Saudi Arabia and United States. Shaolin Nie's co-authors include Jumei Zhou, Yanyan Tang, Qianjin Liao, Wei Xiong, Jirong Huo, Jian Gong, Qiao Peng, Can Guo, Chunmei Fan and Fang Xiong and has published in prestigious journals such as Molecular Cancer, Journal of Cellular Physiology and BMC Cancer.

In The Last Decade

Shaolin Nie

10 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaolin Nie China	9	261	234	63	28	28	10	368
Yongchu Sun China	9	194 0.7×	135 0.6×	99 1.6×	20 0.7×	13 0.5×	14	313
Gentian Musa Italy	7	257 1.0×	187 0.8×	61 1.0×	13 0.5×	11 0.4×	10	348
Zining Jin China	11	186 0.7×	136 0.6×	74 1.2×	18 0.6×	12 0.4×	28	309
Yaqi Cheng China	9	230 0.9×	131 0.6×	50 0.8×	30 1.1×	25 0.9×	28	358
Qingyuan Wang China	11	314 1.2×	228 1.0×	79 1.3×	22 0.8×	11 0.4×	24	431
Haofan Yin China	11	238 0.9×	127 0.5×	97 1.5×	15 0.5×	11 0.4×	23	357
Ye‐Lin Liang China	12	410 1.6×	304 1.3×	104 1.7×	31 1.1×	17 0.6×	21	541
Marta De Menna Switzerland	10	246 0.9×	155 0.7×	85 1.3×	12 0.4×	15 0.5×	15	379
Bin Zeng China	12	232 0.9×	156 0.7×	48 0.8×	63 2.3×	8 0.3×	24	326
Yane Gao China	10	212 0.8×	137 0.6×	56 0.9×	43 1.5×	11 0.4×	20	325

Countries citing papers authored by Shaolin Nie

Since Specialization

Citations

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

Fields of papers citing papers by Shaolin Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolin Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolin Nie. A scholar is included among the top collaborators of Shaolin Nie 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 Shaolin Nie. Shaolin Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Liu, Jun, Ke Liu, Fang Cao, et al.. (2024). MRI-based radiomic nomogram for predicting disease-free survival in patients with locally advanced rectal cancer. Abdominal Radiology. 50(6). 2388–2400. 3 indexed citations

Wen, Lu, Jun Liu, Feng Bi, et al.. (2023). MRI-Based Radiomic Models Outperform Radiologists in Predicting Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Academic Radiology. 30. S176–S184. 25 indexed citations

Tang, Yanyan, Rui Tang, Ping Huang, et al.. (2021). LncRNA DNAJC3-AS1 Regulates Fatty Acid Synthase via the EGFR Pathway to Promote the Progression of Colorectal Cancer. Frontiers in Oncology. 10. 604534–604534. 20 indexed citations

Bin, Jie, Shaolin Nie, Yingbin Hu, et al.. (2020). Long noncoding RNA EPB41L4A‐AS1 functions as an oncogene by regulating the Rho/ROCK pathway in colorectal cancer. Journal of Cellular Physiology. 236(1). 523–535. 28 indexed citations

Tang, Rui, Junhong Chen, Jiarui Jiang, et al.. (2019). LncRNA SLCO4A1-AS1 predicts poor prognosis and promotes proliferation and metastasis via the EGFR/MAPK pathway in colorectal cancer. International Journal of Biological Sciences. 15(13). 2885–2896. 40 indexed citations

Zhou, Jumei, et al.. (2019). LncRNA WWC2-AS1 functions AS a novel competing endogenous RNA in the regulation of FGF2 expression by sponging miR-16 in radiation-induced intestinal fibrosis. BMC Cancer. 19(1). 647–647. 18 indexed citations

Tang, Yanyan, Yi He, Ping Zhang, et al.. (2018). LncRNAs regulate the cytoskeleton and related Rho/ROCK signaling in cancer metastasis. Molecular Cancer. 17(1). 77–77. 134 indexed citations

Zhou, Jumei, et al.. (2015). MicroRNA-1246 promotes growth and metastasis of colorectal cancer cells involving CCNG2 reduction. Molecular Medicine Reports. 13(1). 273–280. 63 indexed citations

Zhou, Jumei, Jing Wang, Sai Wang, et al.. (2014). Angiopoietin-like protein 2 negatively regulated by microRNA-25 contributes to the malignant progression of colorectal cancer. International Journal of Molecular Medicine. 34(5). 1286–1292. 12 indexed citations

10.

Nie, Shaolin, et al.. (2013). Role of endothelin a receptor in colon cancer metastasis: In vitro and in vivo evidence. Molecular Carcinogenesis. 53(S1). E85–91. 25 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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