Xuanlin Huang

2.8k total citations · 1 hit paper
9 papers, 854 citations indexed

About

Xuanlin Huang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xuanlin Huang has authored 9 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Xuanlin Huang's work include Cancer Genomics and Diagnostics (6 papers), Genomics and Phylogenetic Studies (2 papers) and RNA modifications and cancer (2 papers). Xuanlin Huang is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Genomics and Phylogenetic Studies (2 papers) and RNA modifications and cancer (2 papers). Xuanlin Huang collaborates with scholars based in China, Denmark and United States. Xuanlin Huang's co-authors include Lin Li, Yanan Cao, Weiqing Wang, Guang Ning, Peide Huang, Zhimin Feng, Xiaohui Sun, Fang Wen, Shengqing Wan and Kunlong Qiu and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Xuanlin Huang

9 papers receiving 836 citations

Hit Papers

Comparative genetic analysis of the novel coronavirus (20... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuanlin Huang China 8 453 227 167 165 117 9 854
Peide Huang China 10 452 1.0× 175 0.8× 153 0.9× 250 1.5× 33 0.3× 15 884
Shengqing Wan China 5 451 1.0× 178 0.8× 66 0.4× 237 1.4× 28 0.2× 5 828
Furong Qi China 9 672 1.5× 256 1.1× 104 0.6× 203 1.2× 125 1.1× 23 964
Javier Carbajo-Lozoya Germany 14 401 0.9× 115 0.5× 115 0.7× 191 1.2× 52 0.4× 14 852
Bandar A. Suliman Saudi Arabia 8 404 0.9× 194 0.9× 78 0.5× 222 1.3× 53 0.5× 21 753
Feria Hikmet Sweden 9 492 1.1× 189 0.8× 70 0.4× 203 1.2× 59 0.5× 12 822
Yabo Ouyang China 15 331 0.7× 118 0.5× 131 0.8× 238 1.4× 175 1.5× 34 788
Gui-Qiang Wang United States 6 962 2.1× 581 2.6× 185 1.1× 374 2.3× 121 1.0× 7 1.5k
Song Tong China 11 205 0.5× 104 0.5× 70 0.4× 223 1.4× 41 0.4× 24 506
Yuhuan Xu China 12 306 0.7× 132 0.6× 99 0.6× 188 1.1× 57 0.5× 21 752

Countries citing papers authored by Xuanlin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xuanlin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanlin Huang

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

All Works

9 of 9 papers shown
1.
Zhao, Zitong, et al.. (2022). PTBP1 promotes IRES-mediated translation of cyclin B1<?A3B2 ACK?>in cancer. Acta Biochimica et Biophysica Sinica. 54(5). 696–707. 3 indexed citations
2.
Huang, Peide, Peina Du, Xiaohui Sun, et al.. (2021). Comprehensive Study of Germline Mutations and Double-Hit Events in Esophageal Squamous Cell Cancer. Frontiers in Oncology. 11. 637431–637431. 7 indexed citations
3.
Cao, Yanan, Lin Li, Zhimin Feng, et al.. (2020). Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARS-CoV-2) receptor ACE2 in different populations. Cell Discovery. 6(1). 11–11. 588 indexed citations breakdown →
4.
Xue, Liyan, Lin Li, Xinyi Fan, et al.. (2020). Identification of second primary tumors from lung metastases in patients with esophageal squamous cell carcinoma using whole-exome sequencing. Theranostics. 10(23). 10606–10618. 7 indexed citations
5.
Wang, Xiangfeng, Fang Hu, Yong Cheng, et al.. (2018). The molecular landscape of synchronous colorectal cancer reveals genetic heterogeneity. Carcinogenesis. 39(5). 708–718. 24 indexed citations
6.
Du, Peina, Peide Huang, Xuanlin Huang, et al.. (2017). Comprehensive genomic analysis of Oesophageal Squamous Cell Carcinoma reveals clinical relevance. Scientific Reports. 7(1). 15324–15324. 38 indexed citations
7.
Guo, Jiao, Shaohang Xu, Xuanlin Huang, et al.. (2016). Drug Resistance in Colorectal Cancer Cell Lines is Partially Associated with Aneuploidy Status in Light of Profiling Gene Expression. Journal of Proteome Research. 15(11). 4047–4059. 14 indexed citations
8.
Liang, Ying, Kunlong Qiu, Bo Liao, et al.. (2016). Seeksv: an accurate tool for somatic structural variation and virus integration detection. Bioinformatics. 33(2). 184–191. 52 indexed citations
9.
Cao, Yanan, Zhibo Gao, Lin Li, et al.. (2013). Whole exome sequencing of insulinoma reveals recurrent T372R mutations in YY1. Nature Communications. 4(1). 2810–2810. 121 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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