Xiang An

1.8k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Xiang An is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiang An has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiang An's work include Hepatitis B Virus Studies (6 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Cancer-related molecular mechanisms research (5 papers). Xiang An is often cited by papers focused on Hepatitis B Virus Studies (6 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Cancer-related molecular mechanisms research (5 papers). Xiang An collaborates with scholars based in China, United States and United Kingdom. Xiang An's co-authors include Tongsen Zheng, Yuanyuan Zhu, Zheng‐Xiang Li, Yu Qiao, Xiao Zhang, Zifan Lu, Huilian Hou, Xu Li, Jingjing Pan and Wei Chen and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiang An

36 papers receiving 1.2k citations

Hit Papers

STING: a master regulator in the cancer-immunity cycle 2019 2026 2021 2023 2019 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. STING: a master regulator in the cancer-immunity cycle
    2019 298 citations Yuanyuan Zhu, Xiang An et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang An China 15 652 418 379 193 133 37 1.2k
Zhen Bian United States 20 847 1.3× 709 1.7× 583 1.5× 194 1.0× 73 0.5× 40 1.7k
Pengfei Zhou China 23 489 0.8× 514 1.2× 242 0.6× 654 3.4× 137 1.0× 54 1.5k
Hao Cheng China 16 521 0.8× 339 0.8× 227 0.6× 125 0.6× 50 0.4× 38 1.0k
Jizhen Lin United States 23 633 1.0× 217 0.5× 178 0.5× 233 1.2× 71 0.5× 77 1.7k
Xiaochun Wan China 22 477 0.7× 549 1.3× 144 0.4× 303 1.6× 58 0.4× 57 1.2k
Eleni Lagoudaki Greece 20 581 0.9× 503 1.2× 452 1.2× 438 2.3× 65 0.5× 59 1.5k
Pengpeng Xu China 20 459 0.7× 209 0.5× 186 0.5× 396 2.1× 87 0.7× 83 1.2k
Holly R. Steach United States 10 497 0.8× 677 1.6× 131 0.3× 112 0.6× 60 0.5× 19 1.4k
Jun Ren United States 23 574 0.9× 488 1.2× 191 0.5× 180 0.9× 179 1.3× 53 1.6k

Countries citing papers authored by Xiang An

Since Specialization
Citations

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

Fields of papers citing papers by Xiang An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang An

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang An. A scholar is included among the top collaborators of Xiang An 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 Xiang An. Xiang An 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
1.
2.
An, Xiang, et al.. (2024). Dynamic Electrocardiogram Signal Quality Assessment Method Based on Convolutional Neural Network and Long Short-Term Memory Network. Big Data and Cognitive Computing. 8(6). 57–57. 2 indexed citations
3.
Lu, Huanyu, Linni Fan, Wenli Zhang, et al.. (2024). The mitochondrial genome-encoded peptide MOTS-c interacts with Bcl-2 to alleviate nonalcoholic steatohepatitis progression. Cell Reports. 43(1). 113587–113587. 10 indexed citations
4.
Zhao, Yixin, et al.. (2023). Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System. Sensors. 23(10). 4750–4750. 17 indexed citations
5.
Zhao, Yixin, et al.. (2023). Intelligent Gateway Based Human Cardiopulmonary Health Monitoring System. Journal of Sensors. 2023(1). 5 indexed citations
6.
Zhai, Dongsheng, Wenwen Wang, Ke Xue, et al.. (2022). QKI degradation in macrophage by RNF6 protects mice from MRSA infection via enhancing PI3K p110β dependent autophagy. Cell & Bioscience. 12(1). 154–154. 3 indexed citations
7.
An, Xiang, et al.. (2021). A systematic review and meta-analysis on prognosis and survival of hepatocellular carcinoma with lung metastasis after hepatectomy. Annals of Palliative Medicine. 10(8). 9039–9048. 8 indexed citations
8.
9.
Zhu, Yuanyuan, Xiang An, Xiao Zhang, et al.. (2019). STING: a master regulator in the cancer-immunity cycle. Molecular Cancer. 18(1). 152–152. 298 indexed citations breakdown →
10.
11.
Li, Qingyang, Huanyu Lu, Guangyu Hu, et al.. (2019). Earlier changes in mice after D-galactose treatment were improved by mitochondria derived small peptide MOTS-c. Biochemical and Biophysical Research Communications. 513(2). 439–445. 32 indexed citations
12.
An, Xiang, Yuanyuan Zhu, Tongsen Zheng, et al.. (2018). An Analysis of the Expression and Association with Immune Cell Infiltration of the cGAS/STING Pathway in Pan-Cancer. Molecular Therapy — Nucleic Acids. 14. 80–89. 125 indexed citations
13.
Xue, Mei, Wei Chen, Xiang An, et al.. (2017). Hypoxic exosomes facilitate bladder tumor growth and development through transferring long non-coding RNA-UCA1. Molecular Cancer. 16(1). 143–143. 283 indexed citations
14.
Lei, Xiaoying, Ke Li, Yan Liu, et al.. (2017). Co-delivery nanocarriers targeting folate receptor and encapsulating 2-deoxyglucose and α-tocopheryl succinate enhance anti-tumor effect in vivo. International Journal of Nanomedicine. Volume 12. 5701–5715. 29 indexed citations
15.
Zhai, Dongsheng, Zichen Ye, Yinghao Jiang, et al.. (2017). MOTS-c peptide increases survival and decreases bacterial load in mice infected with MRSA. Molecular Immunology. 92. 151–160. 55 indexed citations
16.
Wang, Li, Dongsheng Zhai, Banjun Ruan, et al.. (2017). Quaking Deficiency Amplifies Inflammation in Experimental Endotoxemia via the Aryl Hydrocarbon Receptor/Signal Transducer and Activator of Transcription 1–NF-κB Pathway. Frontiers in Immunology. 8. 1754–1754. 28 indexed citations
17.
An, Xiang, et al.. (2015). The hepatitis B virus (HBV) core protein enhances the transcription activation of CRE via the CRE/CREB/CBP pathway. Antiviral Research. 120. 7–15. 19 indexed citations
18.
An, Xiang, et al.. (2013). A simple and rapid capillary chemiluminescence immunoassay for quantitatively detecting human serum HBsAg. European Journal of Clinical Microbiology & Infectious Diseases. 32(12). 1557–1564. 10 indexed citations
19.
Bao, Han, Banjun Ruan, Qing Wang, et al.. (2013). Rapid high-throughput genotyping of HBV DNA using a modified hybridization-extension technique. Physical Chemistry Chemical Physics. 15(41). 18179–18179. 2 indexed citations
20.
Guo, Yanhai, Wei Kang, Xiaoying Lei, et al.. (2012). Hepatitis B viral core protein disrupts human host gene expression by binding to promoter regions. BMC Genomics. 13(1). 563–563. 46 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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