Bin Xu

11.1k total citations · 2 hit papers
279 papers, 7.0k citations indexed

About

Bin Xu is a scholar working on Surgery, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Bin Xu has authored 279 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Surgery, 84 papers in Oncology and 63 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Bin Xu's work include Thyroid Cancer Diagnosis and Treatment (57 papers), Salivary Gland Tumors Diagnosis and Treatment (44 papers) and Ear and Head Tumors (28 papers). Bin Xu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (57 papers), Salivary Gland Tumors Diagnosis and Treatment (44 papers) and Ear and Head Tumors (28 papers). Bin Xu collaborates with scholars based in United States, China and Canada. Bin Xu's co-authors include Ronald Ghossein, Nora Katabi, Ian Ganly, Margaret Fahnestock, Snjezana Doğan, R. Michael Tuttle, Bernadeta Michalski, Michael D. Coughlin, James A. Fagin and Iñigo Landa and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Bin Xu

263 papers receiving 6.9k citations

Hit Papers

Genomic and transcriptomic hallmarks of poorly differenti... 2016 2026 2019 2022 2016 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Xu United States 43 2.3k 2.1k 1.9k 1.6k 910 279 7.0k
Isabella Ceccherini Italy 44 2.5k 1.1× 964 0.5× 658 0.3× 3.8k 2.5× 1.0k 1.1× 232 8.1k
Paola Cassoni Italy 50 1.3k 0.6× 452 0.2× 2.3k 1.2× 1.9k 1.2× 1.4k 1.6× 287 8.5k
Hubert J. Wolfe United States 48 1.6k 0.7× 1.4k 0.6× 1.4k 0.7× 1.9k 1.2× 807 0.9× 156 7.0k
Susan E. Quaggin United States 60 1.3k 0.6× 898 0.4× 1.0k 0.5× 6.0k 3.8× 1.8k 2.0× 156 12.2k
Larry J. Suva United States 52 1.1k 0.5× 806 0.4× 4.8k 2.5× 6.3k 4.0× 892 1.0× 220 11.4k
Tetsuro Nagasaka Japan 47 1.8k 0.8× 352 0.2× 1.8k 1.0× 1.7k 1.1× 1.1k 1.2× 206 7.0k
Sudeepta Aggarwal United States 23 1.8k 0.8× 497 0.2× 1.4k 0.7× 1.6k 1.0× 426 0.5× 46 8.5k
Ziv Gil Israel 44 3.2k 1.4× 445 0.2× 2.0k 1.1× 1.4k 0.9× 947 1.0× 169 6.9k
Gaetano Magro Italy 39 978 0.4× 412 0.2× 678 0.4× 1.5k 1.0× 1.0k 1.1× 300 5.7k
Natalie A. Sims Australia 63 870 0.4× 827 0.4× 4.6k 2.4× 7.6k 4.9× 481 0.5× 206 13.0k

Countries citing papers authored by Bin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Xu. A scholar is included among the top collaborators of Bin Xu 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 Bin Xu. Bin Xu 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.
Raab, Gabriel, Bin Xu, Nora Katabi, et al.. (2025). Pathologic Response to Neoadjuvant Cetuximab, Platinum, and Taxane in Locally Advanced HNSCC. Otolaryngology. 174(1). 163–172.
3.
Xu, Bin, et al.. (2025). Risk factors and predictive models for secondary hemorrhage in pediatric coblation tonsillectomy. International Journal of Pediatric Otorhinolaryngology. 192. 112327–112327.
4.
Xu, Bin, et al.. (2025). Aquaporin 9: Exacerbation of Vulnerable Carotid Plaque Formation. Biotechnology and Applied Biochemistry. 72(6). 1708–1721. 3 indexed citations
5.
Ghossein, Ronald, Snjezana Doğan, Marc A. Cohen, Nora Katabi, & Bin Xu. (2024). Histologic spectrum and outcome of Human papillomavirus (HPV)-associated oral cavity squamous cell carcinoma: a single center experience and a survey of The Cancer Genome Atlas (TGCA) cohort. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 485(4). 665–674. 1 indexed citations
7.
Chen, Dexi, et al.. (2024). Machine learning-based characterization of the gut microbiome associated with the progression of primary biliary cholangitis to cirrhosis. Microbes and Infection. 26(8). 105368–105368. 6 indexed citations
8.
Chen, Min, Bin Xu, Tingting Ran, et al.. (2023). A link between STK signalling and capsular polysaccharide synthesis in Streptococcus suis. Nature Communications. 14(1). 2480–2480. 8 indexed citations
9.
Hahn, Elan, Bin Xu, Nora Katabi, et al.. (2023). Comprehensive Molecular Characterization of Polymorphous Adenocarcinoma, Cribriform Subtype: Identifying Novel Fusions and Fusion Partners. Modern Pathology. 36(11). 100305–100305. 7 indexed citations
10.
Ameline, Baptiste, Christopher C. Griffith, Akeesha A. Shah, et al.. (2023). DNA Methylation Profiling Distinguishes Adamantinoma-Like Ewing Sarcoma From Conventional Ewing Sarcoma. Modern Pathology. 36(11). 100301–100301. 16 indexed citations
11.
Yang, Huajie, Peng Shi, Shuailing Liu, et al.. (2023). Mendelian-randomization study reveals causal relationships between nitrogen dioxide and gut microbiota. Ecotoxicology and Environmental Safety. 267. 115660–115660. 5 indexed citations
12.
Doğan, Snjezana, Bin Xu, Satshil Rana, et al.. (2023). Loss of CDKN2A/B is a Molecular Marker of High-grade Histology and is Associated with Aggressive Behavior in Acinic Cell Carcinoma. Modern Pathology. 36(7). 100150–100150. 14 indexed citations
13.
Landa, Iñigo, Bin Xu, Jacob Haase, et al.. (2023). Telomerase Upregulation Induces Progression of Mouse BrafV600E-Driven Thyroid Cancers and Triggers Nontelomeric Effects. Molecular Cancer Research. 21(11). 1163–1175. 12 indexed citations
14.
Saliba, Maelle, Bayan Alzumaili, Nora Katabi, et al.. (2022). Clinicopathologic and Prognostic Features of Pediatric Follicular Cell–derived Thyroid Carcinomas. The American Journal of Surgical Pathology. 46(12). 1659–1669. 17 indexed citations
15.
Dong, Yiyu, Yongxing Gong, Fengshen Kuo, et al.. (2021). Targeting the mTOR Pathway in Hurthle Cell Carcinoma Results in Potent Antitumor Activity. Molecular Cancer Therapeutics. 21(2). 382–394. 4 indexed citations
17.
Olkhov‐Mitsel, Ekaterina, Anjelica Hodgson, Stanley K. Liu, et al.. (2020). Immune gene expression profiles in high-grade urothelial carcinoma of the bladder: a NanoString study. Journal of Clinical Pathology. 74(1). 53–57. 9 indexed citations
18.
Ibrahimpašić, Tihana, Bin Xu, Iñigo Landa, et al.. (2017). Genomic Alterations in Fatal Forms of Non-Anaplastic Thyroid Cancer: Identification of MED12 and RBM10 as Novel Thyroid Cancer Genes Associated with Tumor Virulence. Clinical Cancer Research. 23(19). 5970–5980. 94 indexed citations
19.
Redpath, Margaret, Bin Xu, Léon C.L.T. van Kempen, & Alan Spatz. (2011). The dual role of the X‐linked FoxP3 gene in human cancers. Molecular Oncology. 5(2). 156–163. 20 indexed citations
20.
Chen, Xiaopeng, Shu-you Peng, Yulian Wu, et al.. (2002). [The expression and significance of heparanase and nm23-H1 in hepatocellular carcinoma].. PubMed. 82(22). 1553–6. 2 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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