Xiaohong Tan

4.0k total citations
42 papers, 1.5k citations indexed

About

Xiaohong Tan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Xiaohong Tan has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Pathology and Forensic Medicine and 11 papers in Oncology. Recurrent topics in Xiaohong Tan's work include Lymphoma Diagnosis and Treatment (9 papers), Cancer-related molecular mechanisms research (5 papers) and Aquaculture disease management and microbiota (4 papers). Xiaohong Tan is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), Cancer-related molecular mechanisms research (5 papers) and Aquaculture disease management and microbiota (4 papers). Xiaohong Tan collaborates with scholars based in China, United States and India. Xiaohong Tan's co-authors include Hong Cen, Baoping Guo, Qing Ke, Heizhao Lin, Chuanpeng Zhou, Xiao Yang, Xuan Cheng, Catherine F. Whittington, Sherry L. Voytik‐Harbin and Jishuai Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Xiaohong Tan

39 papers receiving 1.4k citations

Peers

Xiaohong Tan

IMMUN

ONCOL

Zhiying Zou China

Jun Ding China

Hai Wang China

Pierre‐Olivier Frappart Germany

Jie He China

Erine H. Budi United States

Qijin Xu United States

Ying Tong China

Mineo Iwata United States

Leslie F. Jackson United States

Zhiying Zou China

Xiaohong Tan

726 ×1.1

358 ×1.1

IMMUN

404 ×1.2

ONCOL

179 ×0.7

78 ×0.3

Citations per year, relative to Xiaohong Tan Xiaohong Tan (= 1×) peers Zhiying Zou

Countries citing papers authored by Xiaohong Tan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohong Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Tan

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

All Works

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20 of 20 papers shown

Liu, Xiyu, et al.. (2025). Novel approaches in CRISPR/Cas12a-based sensing for HCC diagnosis - A review (2020–2025). Journal of Pharmaceutical and Biomedical Analysis. 262. 116878–116878.

Liao, Chengcheng, Lin Zeng, Baoping Guo, et al.. (2024). Comparison of the Efficacy and Safety of Axi-Cel and Tisa-Cel Based on Meta-Analysis. Journal of Cancer. 15(17). 5729–5741. 2 indexed citations

Wang, Lin, et al.. (2024). Revealing alcoholization-related volatile compounds and determining alcoholization indices in tobacco using GC-IMS coupled with chemometrics. Heliyon. 10(15). e35178–e35178. 2 indexed citations

Tan, Xiaohong, et al.. (2021). CCL21 activation of the MALAT1/SRSF1/mTOR axis underpins the development of gastric carcinoma. Journal of Translational Medicine. 19(1). 210–210. 21 indexed citations

Guo, Baoping, Xiaohong Tan, & Hong Cen. (2020). EZH2 is a negative prognostic biomarker associated with immunosuppression in hepatocellular carcinoma. PLoS ONE. 15(11). e0242191–e0242191. 28 indexed citations

Li, Wenyao, et al.. (2019). Correlation of P2RX7 gene rs1718125 polymorphism with postoperative fentanyl analgesia in patients with lung cancer. Medicine. 98(7). e14445–e14445. 12 indexed citations

Guo, Baoping, Xiaohong Tan, Qing Ke, & Hong Cen. (2019). Prognostic value of baseline metabolic tumor volume and total lesion glycolysis in patients with lymphoma: A meta-analysis. PLoS ONE. 14(1). e0210224–e0210224. 85 indexed citations

Sun, Zhenzhu, Xiaohong Tan, Minglei Xu, et al.. (2018). Liver transcriptome analysis and de novo annotation of the orange-spotted groupers (Epinephelus coioides) under cold stress. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 29. 264–273. 39 indexed citations

Zhou, Jingyi, et al.. (2018). Mesenchymal Stem Cell Derived Exosomes in Cancer Progression, Metastasis and Drug Delivery: A Comprehensive Review. Journal of Cancer. 9(17). 3129–3137. 82 indexed citations

10.

Wang, Yanxiao, Ning Hou, Xuan Cheng, et al.. (2017). Ezh2 Acts as a Tumor Suppressor in Kras-driven Lung Adenocarcinoma. International Journal of Biological Sciences. 13(5). 652–659. 45 indexed citations

11.

Tan, Xiaohong, et al.. (2017). Predictive value of interim PET/CT visual interpretation in the prognosis of patients with aggressive non-Hodgkin’s lymphoma. OncoTargets and Therapy. Volume 10. 5727–5738. 6 indexed citations

12.

Guo, Baoping, Hong Cen, Xiaohong Tan, & Qing Ke. (2016). Meta-analysis of the prognostic and clinical value of tumor-associated macrophages in adult classical Hodgkin lymphoma. BMC Medicine. 14(1). 159–159. 68 indexed citations

13.

Liu, Wenjian, Xiaohong Tan, Baoping Guo, et al.. (2014). Prognostic significance of Tet methylcytosine dioxygenase 2 (TET2) gene mutations in adult patients with acute myeloid leukemia: a meta-analysis. Leukemia & lymphoma. 55(12). 2691–2698. 37 indexed citations

14.

Cen, Hong, et al.. (2014). Association between infection of hepatitis B virus and onset risk of B-cell non-Hodgkin’s lymphoma: a systematic review and a meta-analysis. Medical Oncology. 31(8). 84–84. 19 indexed citations

15.

Guo, Baoping, Hong Cen, Xiaohong Tan, Wenjian Liu, & Qing Ke. (2014). Prognostic Value of MET Gene Copy Number and Protein Expression in Patients with Surgically Resected Non-Small Cell Lung Cancer: A Meta-Analysis of Published Literatures. PLoS ONE. 9(6). e99399–e99399. 55 indexed citations

16.

Chen, Zhao, Esra A. Akbay, Oliver R. Mikse, et al.. (2013). Co-Clinical Trials Demonstrate Superiority of Crizotinib to Chemotherapy in ALK -Rearranged Non–Small Cell Lung Cancer and Predict Strategies to Overcome Resistance. Clinical Cancer Research. 20(5). 1204–1211. 51 indexed citations

17.

Liu, Wenjian, et al.. (2013). Associations Between RASSF1A Promoter Methylation and NSCLC: A Meta-analysis of Published Data. Asian Pacific Journal of Cancer Prevention. 14(6). 3719–3724. 20 indexed citations

18.

Wang, Meina, et al.. (2010). Smad3 Prevents β-Catenin Degradation and Facilitates β-Catenin Nuclear Translocation in Chondrocytes. Journal of Biological Chemistry. 285(12). 8703–8710. 81 indexed citations

19.

Zhang, Jishuai, Xiaohong Tan, Wenlong Li, et al.. (2005). Smad4 is required for the normal organization of the cartilage growth plate. Developmental Biology. 284(2). 311–322. 72 indexed citations

20.

Tan, Xiaohong. (2003). Detection of antibodies against Hantaan virus in patients blood by autologous red cell agglutination assay. Zhongguo renshougonghuanbing zazhi.

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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