Shunxin Wang

1.7k total citations
42 papers, 1.0k citations indexed

About

Shunxin Wang is a scholar working on Molecular Biology, Plant Science and Otorhinolaryngology. According to data from OpenAlex, Shunxin Wang has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Plant Science and 7 papers in Otorhinolaryngology. Recurrent topics in Shunxin Wang's work include DNA Repair Mechanisms (20 papers), Chromosomal and Genetic Variations (11 papers) and Head and Neck Cancer Studies (7 papers). Shunxin Wang is often cited by papers focused on DNA Repair Mechanisms (20 papers), Chromosomal and Genetic Variations (11 papers) and Head and Neck Cancer Studies (7 papers). Shunxin Wang collaborates with scholars based in China, United States and France. Shunxin Wang's co-authors include Liangran Zhang, Nancy Kleckner, Denise Zickler, Shen Yin, Keun Pil Kim, Soogil Hong, Martin A. White, Yongliang Shang, Yang Xiao and Kangtai Liu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Shunxin Wang

39 papers receiving 1.0k citations

Peers

Shunxin Wang

GENET

OTORH

Maria Filomena Caiaffa Italy

Keh‐Weei Tzung United States

Kimberly R. Kukurba United States

Shuyi Zhao China

Sampath K. Loganathan Canada

Viviane Dumur France

Yiming Yu China

Sarah J. Morgan United States

Sophie Bellanger Singapore

Stefan Fronhoffs Germany

Maria Filomena Caiaffa Italy

Shunxin Wang

86 ×0.1

163 ×0.5

28 ×0.2

GENET

29 ×0.3

OTORH

64 ×0.6

Citations per year, relative to Shunxin Wang Shunxin Wang (= 1×) peers Maria Filomena Caiaffa

Countries citing papers authored by Shunxin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shunxin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunxin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunxin Wang. A scholar is included among the top collaborators of Shunxin Wang 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 Shunxin Wang. Shunxin Wang 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

Wang, Guoqiang, Kailun Fang, Yongliang Shang, et al.. (2025). Testis‐Specific PDHA2 Is Required for Proper Meiotic Recombination and Chromosome Organisation During Spermatogenesis. Cell Proliferation. 58(7). e70003–e70003. 2 indexed citations

Wang, Shunxin, Raymond Veldhuis, & Nicola Strisciuglio. (2025). Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization. University of Twente Research Information. 25198–25207.

Zhang, Shuxian, Bo Li, Xu Zhou, et al.. (2024). Temperature regulates negative supercoils to modulate meiotic crossovers and chromosome organization. Science China Life Sciences. 67(11). 2426–2443. 1 indexed citations

Yang, Yi, et al.. (2024). Induction chemoimmunotherapy followed by radiotherapy in locally advanced head and neck squamous cell carcinoma: A real-world study.. Journal of Clinical Oncology. 42(23_suppl). 131–131. 1 indexed citations

Wang, Shunxin, Yi Yang, Haojiang Li, et al.. (2024). Radiomics-based nomogram guides adaptive de-intensification in locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy. European Radiology. 34(10). 6831–6842. 4 indexed citations

Ding, Cong, Hongjun Xiao, Shunxin Wang, et al.. (2024). The circadian gene ARNTL2 promotes nasopharyngeal carcinoma invasiveness and metastasis through suppressing AMOTL2-LATS-YAP pathway. Cell Death and Disease. 15(7). 466–466. 6 indexed citations

Wang, Shunxin, et al.. (2023). Juvenile hormone suppresses sensory organ precursor determination to block Drosophila adult abdomen morphogenesis. Insect Biochemistry and Molecular Biology. 157. 103957–103957. 4 indexed citations

Zhang, Yanan, Yanlei Liu, Yongliang Shang, et al.. (2023). ATF7IP2, a meiosis-specific partner of SETDB1, is required for proper chromosome remodeling and crossover formation during spermatogenesis. Cell Reports. 42(8). 112953–112953. 6 indexed citations

Fan, Xiaochun, et al.. (2023). Juvenile hormone inhibits adult cuticle formation in Drosophila melanogaster through Kr‐h1/Dnmt2‐mediated DNA methylation of Acp65A promoter. Insect Molecular Biology. 33(2). 124–135. 1 indexed citations

10.

Wang, Shunxin, Christoph Brüne, Raymond Veldhuis, & Nicola Strisciuglio. (2023). DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. University of Twente Research Information. 129–138. 3 indexed citations

11.

Wang, Shunxin, et al.. (2023). Dietary supplementation with casein/cyanidin-3-O-glucoside nanoparticles alters the gut microbiota in high-fat fed C57BL/6 mice. Food Chemistry. 412. 135494–135494. 31 indexed citations

12.

Zhang, Shuxian, Bo Li, Jiaming Zhang, et al.. (2023). Dna2 removes toxic ssDNA-RPA filaments generated from meiotic recombination-associated DNA synthesis. Nucleic Acids Research. 51(15). 7914–7935. 1 indexed citations

13.

Zhou, Xu, Kailun Fang, Yanlei Liu, et al.. (2023). ZFP541 and KCTD19 regulate chromatin organization and transcription programs for male meiotic progression. Cell Proliferation. 57(4). e13567–e13567. 6 indexed citations

14.

Mao, Yan‐Ping, Shunxin Wang, William M. Lydiatt, et al.. (2021). Unambiguous advanced radiologic extranodal extension determined by MRI predicts worse outcomes in nasopharyngeal carcinoma: Potential improvement for future editions of N category systems. Radiotherapy and Oncology. 157. 114–121. 41 indexed citations

15.

Wang, Shunxin, et al.. (2021). Crossover patterns under meiotic chromosome program. Asian Journal of Andrology. 23(6). 562–571. 24 indexed citations

16.

Wang, Shunxin, Carl Veller, Fei Sun, et al.. (2019). Per-Nucleus Crossover Covariation and Implications for Evolution. Cell. 177(2). 326–338.e16. 58 indexed citations

17.

Liu, Yifei, Annan Dong, Fei Ai, et al.. (2019). Nodal grouping in nasopharyngeal carcinoma: prognostic significance, N classification, and a marker for the identification of candidates for induction chemotherapy. European Radiology. 30(4). 2115–2124. 30 indexed citations

18.

Wang, Shunxin, Terry Hassold, Patricia A. Hunt, et al.. (2017). Inefficient Crossover Maturation Underlies Elevated Aneuploidy in Human Female Meiosis. Cell. 168(6). 977–989.e17. 104 indexed citations

19.

White, Martin A., Shunxin Wang, Liangran Zhang, & Nancy Kleckner. (2017). Quantitative Modeling and Automated Analysis of Meiotic Recombination. Methods in molecular biology. 1471. 305–323. 27 indexed citations

20.

Zhang, Liangran, Jiayi Tao, Shunxin Wang, Kang Chong, & Tai Wang. (2006). The Rice OsRad21-4, an Orthologue of Yeast Rec8 Protein, is Required for Efficient Meiosis. Plant Molecular Biology. 60(4). 533–554. 77 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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