Mang Xiao

2.0k total citations
59 papers, 1.6k citations indexed

About

Mang Xiao is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Mang Xiao has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Hematology. Recurrent topics in Mang Xiao's work include Hematopoietic Stem Cell Transplantation (10 papers), RNA modifications and cancer (9 papers) and T-cell and B-cell Immunology (8 papers). Mang Xiao is often cited by papers focused on Hematopoietic Stem Cell Transplantation (10 papers), RNA modifications and cancer (9 papers) and T-cell and B-cell Immunology (8 papers). Mang Xiao collaborates with scholars based in China, United States and France. Mang Xiao's co-authors include Douglas C. Dooley, S Grigsby, Sunhong Hu, Mark H. Whitnall, Li Lu, HE Broxmeyer, Xiaohua Jiang, Liwei Lu, Hal E. Broxmeyer and Xinbing Sui and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Mang Xiao

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mang Xiao China 24 732 396 343 336 300 59 1.6k
Jeena Joseph India 17 722 1.0× 164 0.4× 864 2.5× 285 0.8× 373 1.2× 41 1.8k
Christophe Lebœuf France 24 604 0.8× 264 0.7× 443 1.3× 295 0.9× 297 1.0× 74 1.6k
Zhen Zhao United States 17 1.5k 2.1× 381 1.0× 745 2.2× 365 1.1× 382 1.3× 34 2.4k
Steven Pirie‐Shepherd United States 19 815 1.1× 138 0.3× 356 1.0× 190 0.6× 398 1.3× 36 1.4k
Joyce Chan United States 14 730 1.0× 293 0.7× 142 0.4× 208 0.6× 131 0.4× 21 1.5k
Akos Czibere United States 29 1.0k 1.4× 804 2.0× 1.2k 3.4× 326 1.0× 344 1.1× 112 2.6k
Gabriel Ghiaur United States 25 934 1.3× 725 1.8× 479 1.4× 413 1.2× 252 0.8× 87 1.9k
Thea Kalebic United States 21 727 1.0× 112 0.3× 424 1.2× 134 0.4× 238 0.8× 60 1.6k
Makoto Hamasaki Japan 31 982 1.3× 287 0.7× 628 1.8× 267 0.8× 216 0.7× 120 2.7k
Simona Ruggieri Italy 20 782 1.1× 339 0.9× 442 1.3× 310 0.9× 317 1.1× 51 1.5k

Countries citing papers authored by Mang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Mang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mang Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Mang Xiao. A scholar is included among the top collaborators of Mang Xiao 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 Mang Xiao. Mang Xiao 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.
Sun, Xiuna, Xinyuan Yu, Shun Yao, et al.. (2025). DRESIS 2.0: the comprehensive landscape of drug resistance information. Nucleic Acids Research. 54(D1). D1387–D1396. 1 indexed citations
2.
Zhao, Yuan, Zheng Dong, Ying Lu, et al.. (2024). HIF-1α mediates hypertension and vascular remodeling in sleep apnea via hippo–YAP pathway activation. Molecular Medicine. 30(1). 281–281. 2 indexed citations
3.
Wu, Yuting, Yao Chen, Xiaohua Jiang, et al.. (2023). ALKBH5 promotes hypopharyngeal squamous cell carcinoma apoptosis by targeting TLR2 in a YTHDF1/IGF2BP2-mediated manner. Cell Death Discovery. 9(1). 308–308. 13 indexed citations
4.
Kiang, Juliann G., Georgetta Cannon, Min Zhai, et al.. (2023). Ciprofloxacin and pegylated G-CSF combined therapy mitigates brain hemorrhage and mortality induced by ionizing irradiation. Frontiers in Public Health. 11. 1268325–1268325. 4 indexed citations
5.
Wang, Zhanggui, Xiaozhen Chen, Xiaohua Jiang, et al.. (2020). YTHDF1-enhanced iron metabolism depends on TFRC m6A methylation. Theranostics. 10(26). 12072–12089. 72 indexed citations
6.
Ye, Jing, et al.. (2020). Development and Validation of a Clinical Score for Predicting the Risk of Tympanosclerosis Before Surgery. Ear Nose & Throat Journal. 101(4). NP169–NP177. 1 indexed citations
7.
Ye, Jing, et al.. (2019). <p>Low-Concentration PTX And RSL3 Inhibits Tumor Cell Growth Synergistically By Inducing Ferroptosis In Mutant p53 Hypopharyngeal Squamous Carcinoma</p>. Cancer Management and Research. Volume 11. 9783–9792. 65 indexed citations
8.
Li, Lisha, et al.. (2018). Elevated <em>DKK1</em> expression is an independent unfavorable prognostic indicator of survival in head and neck squamous cell carcinoma. Cancer Management and Research. Volume 10. 5083–5089. 22 indexed citations
9.
Zheng, Jian, Jieqiong Deng, Mang Xiao, et al.. (2013). A Sequence Polymorphism in miR-608 Predicts Recurrence after Radiotherapy for Nasopharyngeal Carcinoma. Cancer Research. 73(16). 5151–5162. 49 indexed citations
10.
Ha, Cam T., Xianghong Li, Dadin Fu, Mang Xiao, & Michael R. Landauer. (2013). Genistein Nanoparticles Protect Mouse Hematopoietic System and Prevent Proinflammatory Factors after Gamma Irradiation. Radiation Research. 180(3). 316–325. 66 indexed citations
11.
Xiao, Mang, Fuzhen Qi, Zhongguang Luo, et al.. (2009). Functional polymorphism of cytotoxic T‐lymphocyte antigen 4 and nasopharyngeal carcinoma susceptibility in a Chinese population. International Journal of Immunogenetics. 37(1). 27–32. 20 indexed citations
12.
Xiao, Mang & Douglas C. Dooley. (2003). Assessment of Cell Viability and Apoptosis in Human Umbilical Cord Blood Following Storage. Journal of Hematotherapy & Stem Cell Research. 12(1). 115–122. 37 indexed citations
13.
Xiao, Mang, et al.. (2001). Transforming growth factor-β1 induces apoptosis in CD34+CD38−/low cells that express Bcl-2 at a low level. Experimental Hematology. 29(9). 1098–1108. 11 indexed citations
14.
Xiao, Mang & Douglas C. Dooley. (2000). Cellular and Molecular Aspects of Human CD34+ CD38-Precursors: Analysis of a Primitive Hematopoietic Population. Leukemia & lymphoma. 38(5-6). 489–497. 27 indexed citations
15.
Xiao, Mang, et al.. (1999). Expression of Flt3 and c-kit during growth and maturation of human CD34+CD38− cells. Experimental Hematology. 27(5). 916–927. 15 indexed citations
16.
Li, Lu, Mang Xiao, Zhihua Li, et al.. (1995). Influence in vitro of IL-3/Epo fusion proteins compared with the combination of IL-3 plus Epo in enhancing the proliferation of single isolated erythroid and multipotential progenitor cells from human umbilical cord blood and adult bone marrow.. PubMed. 23(10). 1130–4. 6 indexed citations
17.
18.
Xiao, Mang, T Leemhuis, Hal E. Broxmeyer, & Lu Li. (1992). Influence of combinations of cytokines on proliferation of isolated single cell-sorted human bone marrow hematopoietic progenitor cells in the absence and presence of serum.. PubMed. 20(2). 276–9. 29 indexed citations
19.
Li, Lu, Zhen Zhou, Bo Wu, et al.. (1992). Influence of recombinant human interleukin (IL)‐7 on disease progression in mice infected with friend virus complex. International Journal of Cancer. 52(2). 261–265. 8 indexed citations
20.

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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