Xiulei Mo

2.0k total citations
24 papers, 556 citations indexed

About

Xiulei Mo is a scholar working on Molecular Biology, Oncology and Endocrine and Autonomic Systems. According to data from OpenAlex, Xiulei Mo has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Xiulei Mo's work include Regulation of Appetite and Obesity (4 papers), Receptor Mechanisms and Signaling (4 papers) and Epigenetics and DNA Methylation (3 papers). Xiulei Mo is often cited by papers focused on Regulation of Appetite and Obesity (4 papers), Receptor Mechanisms and Signaling (4 papers) and Epigenetics and DNA Methylation (3 papers). Xiulei Mo collaborates with scholars based in United States, China and Italy. Xiulei Mo's co-authors include Ya‐Xiong Tao, Haian Fu, Yuhong Du, Qiankun Niu, Tingxuan Ma, Min Qui, Andrei A. Ivanov, Rui Yang, Cong Tang and Calvin J. Kuo and has published in prestigious journals such as Nature reviews. Cancer, Nature Biotechnology and Bioinformatics.

In The Last Decade

Xiulei Mo

22 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiulei Mo United States 14 357 104 93 86 69 24 556
John Yew Huat Tang United States 8 381 1.1× 41 0.4× 32 0.3× 24 0.3× 29 0.4× 10 521
Dennis G. Fry United States 12 210 0.6× 104 1.0× 52 0.6× 49 0.6× 10 0.1× 19 377
Claire Normand Canada 6 244 0.7× 55 0.5× 13 0.1× 20 0.2× 103 1.5× 9 536
Eiichi Nakai Japan 12 187 0.5× 112 1.1× 18 0.2× 17 0.2× 22 0.3× 37 494
Xianglei Yin United States 11 464 1.3× 64 0.6× 25 0.3× 20 0.2× 20 0.3× 13 644
Leigh Frost United States 8 660 1.8× 95 0.9× 101 1.1× 72 0.8× 4 0.1× 9 868
María F. Mercogliano Argentina 15 326 0.9× 344 3.3× 29 0.3× 10 0.1× 42 0.6× 23 793
Joe R. Delaney United States 15 605 1.7× 121 1.2× 12 0.1× 12 0.1× 21 0.3× 33 862
Nam Chu United States 13 340 1.0× 48 0.5× 14 0.2× 21 0.2× 7 0.1× 18 442
Eric Tang United Kingdom 11 244 0.7× 64 0.6× 6 0.1× 25 0.3× 32 0.5× 17 401

Countries citing papers authored by Xiulei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiulei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiulei Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiulei Mo. A scholar is included among the top collaborators of Xiulei Mo 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 Xiulei Mo. Xiulei Mo 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.
Brunetti‐Pierri, Nicola, et al.. (2025). Navigating Drug Discovery for Myhre Syndrome: The Complexity of a Multisystemic Rare Disease. American Journal of Medical Genetics Part C Seminars in Medical Genetics.
2.
Niu, Qiankun, Eugene F. Douglass, Christian M. Beusch, et al.. (2025). Identification and characterization of a TGF- β -independent SMAD4–NFATc1–STAT3 regulatory axis. Journal of Molecular Cell Biology. 17(6).
3.
Fu, Haian, Xiulei Mo, & Andrei A. Ivanov. (2025). Decoding the functional impact of the cancer genome through protein–protein interactions. Nature reviews. Cancer. 25(3). 189–208. 5 indexed citations
4.
5.
Lindsay, Mark E., Lael M. Yonker, Y. Peter Di, et al.. (2024). Gain-of-function variants in SMAD4 compromise respiratory epithelial function. Journal of Allergy and Clinical Immunology. 155(1). 107–119.e2. 2 indexed citations
6.
Niu, Qiankun, Min Qui, Kun Qian, et al.. (2023). TMPRSS2 and SARS-CoV-2 SPIKE interaction assay for uHTS. Journal of Molecular Cell Biology. 15(3). 2 indexed citations
7.
Li, Qianjin, Qiankun Niu, Min Qui, et al.. (2023). A multiplexed time-resolved fluorescence resonance energy transfer ultrahigh-throughput screening assay for targeting the SMAD4–SMAD3–DNA complex. Journal of Molecular Cell Biology. 15(11). 8 indexed citations
8.
Zheng, Xi, Qiankun Niu, Kun Qian, et al.. (2022). Acquisition of taxane resistance by p53 inactivation in ovarian cancer cells. Acta Pharmacologica Sinica. 43(9). 2419–2428. 10 indexed citations
9.
Tang, Cong, et al.. (2021). A time-resolved fluorescence resonance energy transfer screening assay for discovery of protein-protein interaction modulators. STAR Protocols. 2(3). 100804–100804. 7 indexed citations
10.
Tang, Cong, Xiulei Mo, Qiankun Niu, et al.. (2020). Hypomorph mutation-directed small-molecule protein-protein interaction inducers to restore mutant SMAD4-suppressed TGF-β signaling. Cell chemical biology. 28(5). 636–647.e5. 22 indexed citations
11.
Mo, Xiulei, Cong Tang, Qiankun Niu, et al.. (2019). HTiP: High-Throughput Immunomodulator Phenotypic Screening Platform to Reveal IAP Antagonists as Anti-cancer Immune Enhancers. Cell chemical biology. 26(3). 331–339.e3. 35 indexed citations
12.
González-Pecchi, Valentina, Min Qui, Andrei A. Ivanov, et al.. (2018). Development of a Time-Resolved Fluorescence Resonance Energy Transfer Ultrahigh-Throughput Screening Assay for Targeting the NSD3 and MYC Interaction. Assay and Drug Development Technologies. 16(2). 96–106. 15 indexed citations
13.
Mo, Xiulei, Qi Qi, Andrei A. Ivanov, et al.. (2017). AKT1, LKB1, and YAP1 Revealed as MYC Interactors with NanoLuc-Based Protein-Fragment Complementation Assay. Molecular Pharmacology. 91(4). 339–347. 21 indexed citations
14.
Ivanov, Andrei A., Valentina González-Pecchi, Qiankun Niu, et al.. (2017). OncoPPi-informed discovery of mitogen-activated protein kinase kinase 3 as a novel binding partner of c-Myc. Oncogene. 36(42). 5852–5860. 22 indexed citations
15.
Mo, Xiulei, Yin Luo, Andrei A. Ivanov, et al.. (2015). Enabling systematic interrogation of protein–protein interactions in live cells with a versatile ultra-high-throughput biosensor platform. Journal of Molecular Cell Biology. 8(3). 271–281. 26 indexed citations
16.
Mo, Xiulei, Yang Zhao, & Ya‐Xiong Tao. (2014). Targeting GPR119 for the Potential Treatment of Type 2 Diabetes Mellitus. Progress in molecular biology and translational science. 121. 95–131. 13 indexed citations
17.
Mo, Xiulei & Ya‐Xiong Tao. (2013). Activation of MAPK by inverse agonists in six naturally occurring constitutively active mutant human melanocortin-4 receptors. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(12). 1939–1948. 51 indexed citations
18.
Mo, Xiulei, Hongkui Wei, Jian Peng, & Ya‐Xiong Tao. (2013). Free Fatty Acid Receptor GPR120 and Pathogenesis of Obesity and Type 2 Diabetes Mellitus. Progress in molecular biology and translational science. 114. 251–276. 27 indexed citations
19.
Dennis, John C., Dean D. Schwartz, Robert L. Judd, et al.. (2012). Expression of melanocortin receptors in human prostate cancer cell lines: MC2R activation by ACTH increases prostate cancer cell proliferation. International Journal of Oncology. 41(4). 1373–1380. 11 indexed citations
20.
Mo, Xiulei, Rui Yang, & Ya‐Xiong Tao. (2012). Functions of transmembrane domain 3 of human melanocortin-4 receptor. Journal of Molecular Endocrinology. 49(3). 221–235. 42 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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