Rui An

440 total citations
16 papers, 286 citations indexed

About

Rui An is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rui An has authored 16 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rui An's work include Cancer Immunotherapy and Biomarkers (4 papers), Gut microbiota and health (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Rui An is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Gut microbiota and health (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Rui An collaborates with scholars based in China, Germany and United States. Rui An's co-authors include Xianjun Wang, Liqian Wang, Feng Zhao, Zairong Gao, Yuzhen Gao, Xinyou Xie, Yanzhong Wang, Yongxue Zhang, Samer Ezziddin and H.-J. Biersack and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Therapy and BMJ Open.

In The Last Decade

Rui An

16 papers receiving 286 citations

Peers

Rui An
Rui An
Citations per year, relative to Rui An Rui An (= 1×) peers Shengjuan Hu

Countries citing papers authored by Rui An

Since Specialization
Citations

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

Fields of papers citing papers by Rui An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui An

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

All Works

16 of 16 papers shown
1.
An, Rui, Yilei Ma, Shaobo Yu, et al.. (2025). Integrated spatial multi‐omics profiling of Fusobacterium nucleatum in breast cancer unveils its role in tumour microenvironment modulation and cancer progression. Clinical and Translational Medicine. 15(3). e70273–e70273. 14 indexed citations
3.
Wang, Yanzhong, Rui An, Haitao Yu, et al.. (2024). Largescale multicenter study of a serum metabolite biomarker panel for the diagnosis of breast cancer. iScience. 27(7). 110345–110345. 3 indexed citations
4.
Gao, Yuzhen, Shipeng Chen, Rui An, et al.. (2023). Liver metastases across cancer types sharing tumor environment immunotolerance can impede immune response therapy and immune monitoring. Journal of Advanced Research. 61. 151–164. 8 indexed citations
5.
An, Rui, Haitao Yu, Yanzhong Wang, et al.. (2022). Integrative analysis of plasma metabolomics and proteomics reveals the metabolic landscape of breast cancer. SHILAP Revista de lepidopterología. 10(1). 13–13. 33 indexed citations
6.
Gao, Yuzhen, Hao Wang, Shipeng Chen, et al.. (2022). Single-cell N6-methyladenosine regulator patterns guide intercellular communication of tumor microenvironment that contribute to colorectal cancer progression and immunotherapy. Journal of Translational Medicine. 20(1). 197–197. 36 indexed citations
8.
Zhao, Feng, et al.. (2021). Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients. Frontiers in Cellular and Infection Microbiology. 11. 725284–725284. 80 indexed citations
9.
Li, Xing, Rui An, Lihong Wang, et al.. (2021). Response to PD-1-Based Immunotherapy for Non-Small Cell Lung Cancer Altered by Gut Microbiota. Oncology and Therapy. 9(2). 647–657. 33 indexed citations
10.
An, Rui, et al.. (2021). [Analysis of gut microbiome in patients with lung adenocarcinoma and lung squamous cell carcinoma].. PubMed. 55(5). 679–684. 3 indexed citations
11.
Wang, Xian, et al.. (2020). Exploring DNA Methylation Profiles Altered in Cryptogenic Hepatocellular Carcinomas by High-Throughput Targeted DNA Methylation Sequencing: A Preliminary Study for Cryptogenic Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Li, Yunwei, et al.. (2014). The utility of fluorescence in situ hybridization for diagnosis and surveillance of bladder urothelial carcinoma.. PubMed. 11(6). 1974–9. 4 indexed citations
13.
14.
Zhang, Kai‐Jun, Rui An, Zairong Gao, Yongxue Zhang, & Mohan R. Aruva. (2006). Radionuclide imaging of small-cell lung cancer (SCLC) using 99mTc-labeled neurotensin peptide 8–13. Nuclear Medicine and Biology. 33(4). 505–512. 26 indexed citations
15.
Gao, Zairong, Rui An, Yongxue Zhang, & H.-J. Biersack. (2006). [Targeted radionuclide therapy for patients with metastatic medullary thyroid carcinoma].. PubMed. 28(8). 621–4. 1 indexed citations
16.
Gao, Zairong, et al.. (2004). The role of combined imaging in metastatic medullary thyroid carcinoma: 111In-DTPA-octreotide and 131I/123I-MIBG as predictors for radionuclide therapy. Journal of Cancer Research and Clinical Oncology. 130(11). 649–656. 30 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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