Xin Wu

6.9k total citations · 2 hit papers
94 papers, 5.4k citations indexed

About

Xin Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Xin Wu has authored 94 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 24 papers in Public Health, Environmental and Occupational Health and 24 papers in Reproductive Medicine. Recurrent topics in Xin Wu's work include Reproductive Biology and Fertility (24 papers), Sperm and Testicular Function (24 papers) and Renal and related cancers (9 papers). Xin Wu is often cited by papers focused on Reproductive Biology and Fertility (24 papers), Sperm and Testicular Function (24 papers) and Renal and related cancers (9 papers). Xin Wu collaborates with scholars based in China, United States and Japan. Xin Wu's co-authors include Steven M. Paul, Kelly R. Bales, Ralph L. Brinster, Mary R. Avarbock, Binhui Ni, John W. Tobias, Feng Liu, Su Yuan, Ronald B. DeMattos and Shaun M. Goodyear and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xin Wu

90 papers receiving 5.3k citations

Hit Papers

Immunization reverses memory deficits without reducing br... 2002 2026 2010 2018 2002 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Wu China 36 2.5k 1.9k 1.1k 898 891 94 5.4k
Tsutomu Nakahara Japan 31 2.0k 0.8× 602 0.3× 377 0.4× 609 0.7× 459 0.5× 234 4.3k
Li‐Na Wei United States 45 4.5k 1.8× 795 0.4× 567 0.5× 651 0.7× 1.6k 1.8× 234 6.8k
Hideyuki Yamamoto Japan 41 3.5k 1.4× 971 0.5× 179 0.2× 208 0.2× 1.4k 1.6× 205 6.1k
Robert Layfield United Kingdom 44 3.7k 1.5× 1.2k 0.6× 145 0.1× 189 0.2× 641 0.7× 126 6.5k
Paul R. Heath United Kingdom 48 3.3k 1.3× 1.3k 0.7× 108 0.1× 155 0.2× 972 1.1× 131 6.7k
Vincenzo Sorrentino Italy 53 6.7k 2.7× 784 0.4× 275 0.3× 229 0.3× 1.9k 2.1× 203 9.1k
Gennaro Schettini Italy 50 3.4k 1.4× 1.8k 0.9× 187 0.2× 88 0.1× 1.6k 1.8× 198 8.2k
Tony Yuen United States 37 2.7k 1.1× 655 0.3× 359 0.3× 230 0.3× 894 1.0× 85 5.0k
Changlu Liu United States 37 1.9k 0.7× 814 0.4× 126 0.1× 1.2k 1.4× 732 0.8× 88 5.2k
Jian Fei China 34 1.7k 0.7× 392 0.2× 173 0.2× 138 0.2× 775 0.9× 186 3.9k

Countries citing papers authored by Xin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Wu. A scholar is included among the top collaborators of Xin Wu 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 Xin Wu. Xin Wu 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.
Wang, Shu, Shan Wu, Jinyan Tang, et al.. (2025). The RNA‐Binding Protein IGF2BP1 Marks Germ Cells but Is Dispensable for Mouse Fertility. Molecular Reproduction and Development. 92(2). e70016–e70016.
2.
Li, Yutong, Jinyan Tang, Tao Zhang, et al.. (2025). Ex Vivo Spatiotemporal Characterization of Spermatogenesis in Mouse Testicular Organoids. Advanced Science. 13(4). e12670–e12670.
3.
Wang, Yufei, Dandan Hou, Xue Geng, et al.. (2024). Design and fabrication of smart functional hydrogel wound dressing for diabetic foot ulcer. Frontiers of Materials Science. 18(3).
4.
Wu, Xin, Jinkui Wang, & Dawei He. (2023). Establishment and validation of a competitive risk model for predicting cancer-specific survival in patients with osteosarcoma: a population-based study. Journal of Cancer Research and Clinical Oncology. 149(17). 15383–15394. 1 indexed citations
5.
Yang, Fan, et al.. (2023). Primary Cultures of Spermatogonia and Testis Cells. Methods in molecular biology. 2656. 127–143. 3 indexed citations
6.
Liu, Jiayan, Tao Mi, Zhaoxia Zhang, et al.. (2023). BKM120 inhibits malignant rhabdoid tumor of the kidney through induction of apoptosis and G0/G1 phase arrest. European Journal of Pharmacology. 951. 175747–175747. 4 indexed citations
7.
Jin, Liming, Tao Mi, Xin Wu, et al.. (2023). BI-D1870 Induces Mitotic Dysfunction and Apoptosis in Neuroblastoma by Regulating the PI3K-Akt-mTORC1 Signal Axis. Cancers. 15(7). 2023–2023. 5 indexed citations
8.
Zhanghuang, Chenghao, Zhaoxia Zhang, Tao Mi, et al.. (2022). Doxycycline Hydrochloride Regulates Cytoskeletal Rearrangement and Epithelial‐To‐Mesenchymal Transition in Malignant Rhabdoid Tumour of the Kidney. BioMed Research International. 2022(1). 2760744–2760744. 2 indexed citations
9.
Wang, Jinkui, Chenghao Zhanghuang, Liming Jin, et al.. (2022). Development and validation of a nomogram to predict cancer-specific survival in elderly patients with papillary thyroid carcinoma: a population-based study. BMC Geriatrics. 22(1). 736–736. 16 indexed citations
10.
Sun, Qingmin, Jingwen Chen, Lizhi Xu, et al.. (2020). MUTYH Deficiency Is Associated with Attenuated Pulmonary Fibrosis in a Bleomycin-Induced Model. Oxidative Medicine and Cellular Longevity. 2020. 1–14. 2 indexed citations
12.
13.
Li, Lufan, Min Wang, Mei Wang, et al.. (2015). LncRNA analysis of mouse spermatogonial stem cells following glial cell-derived neurotrophic factor treatment. Genomics Data. 5. 275–278. 4 indexed citations
14.
Liu, Feng, et al.. (2015). Effect of KnockOut serum replacement on germ cell development of immature testis tissue culture. Theriogenology. 85(2). 193–199. 28 indexed citations
15.
Wu, Xin, Shaun M. Goodyear, Lara K. Abramowitz, et al.. (2012). Fertile offspring derived from mouse spermatogonial stem cells cryopreserved for more than 14 years. Human Reproduction. 27(5). 1249–1259. 110 indexed citations
16.
Wu, Xin, Shaun M. Goodyear, John W. Tobias, Mary R. Avarbock, & Ralph L. Brinster. (2011). Spermatogonial Stem Cell Self-Renewal Requires ETV5-Mediated Downstream Activation of Brachyury in Mice1. Biology of Reproduction. 85(6). 1114–1123. 85 indexed citations
17.
Wu, Zhiyuan, et al.. (2006). Transplantation of human amniotic epithelial cells improves hindlimb function in rats with spinal cord injury. Chinese Medical Journal. 119(24). 2101–2107. 39 indexed citations
18.
Yu, Liang, Suizhen Lin, Thomas P. Beyer, et al.. (2004). A liver X receptor and retinoid X receptor heterodimer mediates apolipoprotein E expression, secretion and cholesterol homeostasis in astrocytes. Journal of Neurochemistry. 88(3). 623–634. 135 indexed citations
19.
Wu, Xin, Lanwei Xu, & Norman B. Hecht. (1998). Dimerization of the testis brain RNA-binding protein (translin) is mediated through its C-terminus and is required for DNA- and RNA-binding. Nucleic Acids Research. 26(7). 1675–1680. 42 indexed citations
20.
Ni, Binhui, Xin Wu, Yansheng Du, et al.. (1997). Cloning and expression of a rat brain interleukin-1beta-converting enzyme (ICE)-related protease (IRP) and its possible role in apoptosis of cultured cerebellar granule neurons. PMC. 9 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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