Bei Xu

4.9k total citations
164 papers, 3.6k citations indexed

About

Bei Xu is a scholar working on Molecular Biology, Immunology and Obstetrics and Gynecology. According to data from OpenAlex, Bei Xu has authored 164 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 33 papers in Immunology and 28 papers in Obstetrics and Gynecology. Recurrent topics in Bei Xu's work include Pregnancy and preeclampsia studies (28 papers), Reproductive System and Pregnancy (26 papers) and Birth, Development, and Health (14 papers). Bei Xu is often cited by papers focused on Pregnancy and preeclampsia studies (28 papers), Reproductive System and Pregnancy (26 papers) and Birth, Development, and Health (14 papers). Bei Xu collaborates with scholars based in China, Australia and United States. Bei Xu's co-authors include Annemarie Hennessy, Angela Makris, Radko Komers, Hong Wang, Jun Shi, Charlene Thornton, Guijin Zhu, T Oyama, Phillip Kantharidis and Mark E. Cooper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Bei Xu

159 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Xu China 31 1.4k 597 560 537 456 164 3.6k
Daozhen Chen China 29 1.3k 1.0× 257 0.4× 408 0.7× 538 1.0× 392 0.9× 134 3.0k
Xueqiong Zhu China 35 2.2k 1.6× 560 0.9× 742 1.3× 1.0k 1.9× 198 0.4× 196 4.5k
Gavino Faa Italy 40 1.5k 1.1× 250 0.4× 266 0.5× 267 0.5× 548 1.2× 284 5.5k
Yubin Ding China 30 836 0.6× 722 1.2× 673 1.2× 349 0.6× 382 0.8× 146 2.7k
Chia‐Jung Li Taiwan 32 1.6k 1.2× 460 0.8× 87 0.2× 646 1.2× 129 0.3× 130 4.0k
Carole Nicco France 37 2.2k 1.6× 1.3k 2.2× 502 0.9× 542 1.0× 56 0.1× 107 5.2k
John J. Kavanagh United States 39 1.5k 1.1× 502 0.8× 745 1.3× 414 0.8× 164 0.4× 121 4.7k
Bernard Weill France 41 1.6k 1.1× 1.5k 2.4× 456 0.8× 308 0.6× 76 0.2× 132 5.5k
Yanping Wang China 33 1.1k 0.8× 763 1.3× 253 0.5× 289 0.5× 294 0.6× 143 3.4k
Zhangqun Ye China 37 2.4k 1.8× 239 0.4× 272 0.5× 1.6k 2.9× 358 0.8× 219 4.8k

Countries citing papers authored by Bei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Bei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Xu. A scholar is included among the top collaborators of Bei 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 Bei Xu. Bei 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.
Xu, Jiadai, Jing Li, Bei Xu, et al.. (2024). The role of proliferating stem‐like plasma cells in relapsed or refractory multiple myeloma: Insights from single‐cell RNA sequencing and proteomic analysis. British Journal of Haematology. 205(3). 1031–1043. 2 indexed citations
2.
Xu, Bei, Aiping Fang, Xuan Li, et al.. (2023). A cascade-responsive nanoplatform with tumor cell-specific drug burst release for chemotherapy. Acta Biomaterialia. 162. 120–134. 10 indexed citations
3.
Xu, Jiadai, Bei Xu, Panpan Li, et al.. (2023). The prognostic role of 1q21 gain/amplification in newly diagnosed multiple myeloma: The faster, the worse. Cancer. 129(7). 1005–1016. 17 indexed citations
4.
Ren, Liang, et al.. (2023). A Machine Learning Model to Predict Survival and Therapeutic Responses in Multiple Myeloma. International Journal of Molecular Sciences. 24(7). 6683–6683. 7 indexed citations
5.
Wang, Xin, Bin Jiao, Hui Liu, et al.. (2022). Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease. CNS Neuroscience & Therapeutics. 28(12). 2206–2217. 31 indexed citations
6.
Tang, Jie, Binwu Ying, Yuwei Yang, et al.. (2022). C3‐Epimer of 25‐Hydroxyvitamin D3 as a Superior Marker for Predicting the Severity of Chronic Kidney Disease in Rheumatoid Arthritis Patients. Oxidative Medicine and Cellular Longevity. 2022(1). 5268706–5268706. 7 indexed citations
7.
Yang, Ziang, Bei Xu, Sheng Wu, et al.. (2022). Exosomal microRNA-551b-3p from bone marrow-derived mesenchymal stromal cells inhibits breast cancer progression via regulating TRIM31/Akt signaling. Human Cell. 35(6). 1797–1812. 9 indexed citations
8.
Zhao, Zhe, Wenqi Li, Bei Xu, et al.. (2022). Construction and Verification of a Fibroblast-Related Prognostic Signature Model for Colon Cancer. Frontiers in Genetics. 13. 908957–908957. 14 indexed citations
9.
Deng, Zhihong, Lu Chen, Jia Tan, et al.. (2021). Combination Model of Thyrotrophin Receptor Antibody and Volumetric Orbital Apex Crowding Index as an Indicator of Dysthyroid Optic Neuropathy. Disease Markers. 2021. 1–7. 6 indexed citations
10.
Wang, Wei-Feng, Xuan Wu, Ke Li, et al.. (2020). Combined analysis of serum SAP and PRSS2 for the differential diagnosis of CD and UC. Clinica Chimica Acta. 514. 8–14. 9 indexed citations
11.
Long, Huizhong, Dongxing Xie, Chao Zeng, et al.. (2019). Association between body composition and osteoarthritis: A systematic review and meta‐analysis. International Journal of Rheumatic Diseases. 22(12). 2108–2118. 12 indexed citations
12.
Xu, Bei, et al.. (2019). Diagnostic performance of serum cystatin C and complement component 1q in lupus nephritis. Arthritis Research & Therapy. 21(1). 267–267. 8 indexed citations
13.
Chen, Yan, Ningxi Li, Bei Xu, et al.. (2019). Polymer-based nanoparticles for chemo/gene-therapy: Evaluation its therapeutic efficacy and toxicity against colorectal carcinoma. Biomedicine & Pharmacotherapy. 118. 109257–109257. 22 indexed citations
14.
Xu, Yaolin, Xi Guo, Yue Fan, et al.. (2018). Efficacy and safety comparison of nabpaclitaxel plus S-1 and gemcitabine plus S-1 as first-line chemotherapy for metastatic pancreatic cancer. Japanese Journal of Clinical Oncology. 48(6). 535–541. 7 indexed citations
15.
Wang, Deyin, Huiping Yang, Chao Peng, et al.. (2018). Synthesis of boronate-decorated polyethyleneimine-grafted porous layer open tubular capillaries for enrichment of polyphenols in fruit juices. Journal of Chromatography A. 1544. 23–32. 28 indexed citations
16.
17.
Wang, Xu, et al.. (2017). An insertion/self-fusion mechanism for cell membrane immobilization on porous silica beads to fabricate biomimic carriers. Biomaterials Science. 5(7). 1334–1341. 7 indexed citations
18.
19.
Chen, Tingmei, et al.. (2014). Easily manageable prognostic factors in 152 Chinese elderly acute myeloid leukemia patients: a single-center retrospective study. Journal of Biomedical Research. 28(5). 396–396. 6 indexed citations
20.
Pei, Lixia, Yuanwu Bao, Haidi Wang, et al.. (2008). A sensitive method for determination of salvianolic acid A in rat plasma using liquid chromatography/tandem mass spectrometry. Biomedical Chromatography. 22(7). 786–794. 16 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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