Zheng Xia

11.1k total citations · 3 hit papers
93 papers, 5.0k citations indexed

About

Zheng Xia is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zheng Xia has authored 93 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 15 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Zheng Xia's work include RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Epigenetics and DNA Methylation (9 papers). Zheng Xia is often cited by papers focused on RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Epigenetics and DNA Methylation (9 papers). Zheng Xia collaborates with scholars based in United States, China and United Kingdom. Zheng Xia's co-authors include Wei Li, Eric J. Wagner, Ling‐Yun Wu, Thomas A. Cooper, Blanca Rodríguez, Xiaobo Zhou, Stephen T.C. Wong, Kaifu Chen, Joel R. Neilson and Lawrence A. Donehower and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Zheng Xia

85 papers receiving 4.9k citations

Hit Papers

Epigenomic Profiling of Young and Aged HSCs Reveals Conce... 2014 2026 2018 2022 2014 2021 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Xia United States 30 3.9k 947 566 448 378 93 5.0k
Matan Hofree United States 18 2.0k 0.5× 684 0.7× 432 0.8× 538 1.2× 441 1.2× 25 3.1k
Wei Keat Lim United States 19 2.5k 0.7× 854 0.9× 838 1.5× 753 1.7× 239 0.6× 43 4.4k
Pedro R. Cutillas United Kingdom 37 2.7k 0.7× 463 0.5× 410 0.7× 685 1.5× 258 0.7× 136 4.1k
Tilman Brummer Germany 35 2.9k 0.7× 547 0.6× 897 1.6× 1.2k 2.6× 240 0.6× 98 4.3k
Gary G. Chiang United States 23 2.9k 0.8× 900 1.0× 384 0.7× 666 1.5× 402 1.1× 47 3.8k
Liwen Xu China 22 2.0k 0.5× 816 0.9× 634 1.1× 635 1.4× 851 2.3× 64 3.3k
John Brognard United States 25 3.7k 0.9× 658 0.7× 301 0.5× 1.0k 2.2× 464 1.2× 50 4.5k
Benjamin D. Hopkins United States 26 3.0k 0.8× 940 1.0× 448 0.8× 979 2.2× 576 1.5× 44 4.5k
Melanie Boerries Germany 38 2.8k 0.7× 1.0k 1.1× 572 1.0× 1.3k 2.8× 390 1.0× 164 4.5k
Shanker Kalyana‐Sundaram United States 23 3.8k 1.0× 1.6k 1.7× 349 0.6× 875 2.0× 1.3k 3.4× 30 5.1k

Countries citing papers authored by Zheng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Xia. A scholar is included among the top collaborators of Zheng Xia 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 Zheng Xia. Zheng Xia 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.
Oñate, M. Kathrina, Chet Oon, Sohinee Bhattacharyya, et al.. (2025). Stromal KITL/SCF Maintains Pancreas Tissue Homeostasis and Restrains Tumor Progression. Cancer Discovery. 15(5). 913–929.
2.
Finan, Jennifer M., Kevin MacPherson‐Hawthorne, Matthew Reyer, et al.. (2025). HuR-Regulated Extracellular Vesicles Promote Endothelial Cell Remodeling in Pancreatic Cancer. Cancer Research Communications. 5(9). 1501–1515. 2 indexed citations
3.
Zhang, Yi, et al.. (2025). CD4+ T Cells Mediate MHC-Deficient Tumor Rejection and Endothelial Cell Reprogramming. Cancer Immunology Research. 14(1). 107–121.
5.
Torka, Pallawi, Lu Chen, Xiaoguang Wang, et al.. (2023). Pevonedistat, a Nedd8-activating enzyme inhibitor, in combination with ibrutinib in patients with relapsed/refractory B-cell non-Hodgkin lymphoma. Blood Cancer Journal. 13(1). 9–9. 11 indexed citations
6.
Wang, Xiaoguang, Jing Wang, Allison Berger, et al.. (2023). Pharmacologic targeting of Nedd8-activating enzyme reinvigorates T-cell responses in lymphoid neoplasia. Leukemia. 37(6). 1324–1335. 7 indexed citations
7.
Zhao, Sihai Dave, et al.. (2023). Kernel Cox partially linear regression: Building predictive models for cancer patients' survival. Statistics in Medicine. 43(1). 1–15. 1 indexed citations
8.
Danilov, Alexey V., Xiangnan Guan, Xiwei Wu, et al.. (2023). Author Correction: Supervised learning of high-confidence phenotypic subpopulations from single-cell data. Nature Machine Intelligence. 5(6). 676–676.
9.
Chaudagar, Kiranj, Shenglin Mei, Taghreed Hirz, et al.. (2023). 1537 Androgen blockade primes NLRP3 inflammasome in macrophages to induce tumor cell phagocytosis. SHILAP Revista de lepidopterología. A1760–A1762. 1 indexed citations
10.
Abrego, Jaime, Chet Oon, Xiao Xu, et al.. (2022). A Cancer Cell–Intrinsic GOT2–PPARδ Axis Suppresses Antitumor Immunity. Cancer Discovery. 12(10). 2414–2433. 34 indexed citations
11.
Liu, Tingting, Duanchen Sun, Xiaoguang Wang, et al.. (2021). Pharmacologic Targeting of Mcl-1 Induces Mitochondrial Dysfunction and Apoptosis in B-Cell Lymphoma Cells in a TP53- and BAX- Dependent Manner. Clinical Cancer Research. 27(17). 4910–4922. 34 indexed citations
12.
Sun, Duanchen, Xiangnan Guan, Amy E. Moran, et al.. (2021). Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data. Nature Biotechnology. 40(4). 527–538. 234 indexed citations breakdown →
13.
Gardner, Ivy H., Elizabeth N. Dewey, Rebecca Ruhl, et al.. (2021). A Distinct Innate Immune Signature of Early Onset Colorectal Cancer. ImmunoHorizons. 5(6). 489–499. 21 indexed citations
14.
Jindal, Sonali, Nathan D. Pennock, Duanchen Sun, et al.. (2021). Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nature Communications. 12(1). 6341–6341. 21 indexed citations
15.
Vesco, Kimberly K., Jonathan Q. Purnell, Melanie Francisco, et al.. (2021). Pregnancy and weaning regulate human maternal liver size and function. Proceedings of the National Academy of Sciences. 118(48). 31 indexed citations
16.
Pennock, Nathan D., Sonali Jindal, Wesley Horton, et al.. (2019). RNA-seq from archival FFPE breast cancer samples: molecular pathway fidelity and novel discovery. BMC Medical Genomics. 12(1). 195–195. 36 indexed citations
17.
Park, Hyun Jung, Ping Ji, Soyeon Kim, et al.. (2018). 3′ UTR shortening represses tumor-suppressor genes in trans by disrupting ceRNA crosstalk. Nature Genetics. 50(6). 783–789. 124 indexed citations
18.
Blair, Lauren P., Zongzhi Liu, Ramon Lorenzo D. Labitigan, et al.. (2016). KDM5 lysine demethylases are involved in maintenance of 3′UTR length. Science Advances. 2(11). e1501662–e1501662. 27 indexed citations
19.
Sowalsky, Adam G., Zheng Xia, Liguo Wang, et al.. (2014). Whole Transcriptome Sequencing Reveals Extensive Unspliced mRNA in Metastatic Castration-Resistant Prostate Cancer. Molecular Cancer Research. 13(1). 98–106. 84 indexed citations
20.
Xia, Zheng. (2006). Primary Analysis of Ectopic Expression of Arabidopsis CycD2 in Rice. Journal of Pharmaceutical and Biomedical Sciences.

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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