Haiming Xu

1.2k total citations
19 papers, 604 citations indexed

About

Haiming Xu is a scholar working on Molecular Biology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haiming Xu has authored 19 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Hematology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haiming Xu's work include Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (4 papers) and Epigenetics and DNA Methylation (3 papers). Haiming Xu is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (4 papers) and Epigenetics and DNA Methylation (3 papers). Haiming Xu collaborates with scholars based in United States, China and Germany. Haiming Xu's co-authors include Scott A. Armstrong, Chun‐Wei Chen, Amit Sinha, Richard P. Koche, S. Haihua Chu, Daria G. Valerio, Na Man, Lan Wang, Aniruddha J. Deshpande and Christopher D. Delaney and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

Haiming Xu

16 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiming Xu United States 9 523 248 46 45 42 19 604
Sonali Narang United States 6 255 0.5× 134 0.5× 32 0.7× 50 1.1× 40 1.0× 9 326
Kathrin M. Bernt United States 3 575 1.1× 315 1.3× 27 0.6× 33 0.7× 37 0.9× 3 652
Federica Mezzasoma Italy 7 332 0.6× 272 1.1× 36 0.8× 24 0.5× 30 0.7× 10 398
Matthew D. Witkin United States 6 286 0.5× 109 0.4× 47 1.0× 43 1.0× 81 1.9× 8 365
Tommaso Perini Italy 8 156 0.3× 104 0.4× 35 0.8× 18 0.4× 60 1.4× 19 263
Zhenbiao Xia United States 6 277 0.5× 123 0.5× 64 1.4× 77 1.7× 51 1.2× 9 370
Gue Su Chang United States 8 196 0.4× 120 0.5× 31 0.7× 47 1.0× 41 1.0× 13 288
Elizabeth Eudy United States 6 134 0.3× 183 0.7× 107 2.3× 28 0.6× 20 0.5× 10 300
Jennifer Jaques Netherlands 7 290 0.6× 149 0.6× 41 0.9× 77 1.7× 30 0.7× 8 361
Jason Clark United States 8 165 0.3× 88 0.4× 57 1.2× 43 1.0× 44 1.0× 14 312

Countries citing papers authored by Haiming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiming Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiming Xu. A scholar is included among the top collaborators of Haiming Xu 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 Haiming Xu. Haiming Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Xu, Haiming, et al.. (2025). STING-inflammasome axis in autoimmune diseases and inflammation-related disease. Autoimmunity Reviews. 24(11). 103898–103898. 1 indexed citations
2.
Yang, Zhe, Jiandong Zhao, Cheng Wang, et al.. (2025). Integrative analysis of cuproptosis-related lncRNAs for prognostic risk assessment and tumor immune microenvironment evaluation in laryngeal squamous cell carcinoma. International Journal of Biological Macromolecules. 306(Pt 4). 141846–141846.
3.
Xu, Haiming, et al.. (2025). The role and challenges of intratumoral microbiota in colorectal cancer immunotherapy. Frontiers in Pharmacology. 16. 1634703–1634703. 1 indexed citations
4.
Liu, Qinghua, et al.. (2024). Multi‐omics analysis of pyroptosis‐related genes for prognosis and immune landscape in head and neck cancer. Clinical and Translational Medicine. 14(12). e70144–e70144.
5.
Dong, Yuan, et al.. (2023). Ferroptosis-associated lncRNA prognostic signature predicts prognosis and immune response in laryngeal squamous carcinoma. Cellular and Molecular Biology. 69(12). 223–231. 2 indexed citations
6.
Vita, Serena De, Andrew Anighoro, Pamela Klingbeil, et al.. (2022). Validation of a small molecule inhibitor of PDE6D-RAS interaction with favorable anti-leukemic effects. Blood Cancer Journal. 12(4). 64–64. 6 indexed citations
7.
Horiguchi, Hiroto, Haiming Xu, Qiuming Yao, et al.. (2022). Deletion of murine Rhoh leads to de-repression of Bcl-6 via decreased KAISO levels and accelerates a malignancy phenotype in a murine model of lymphoma. Small GTPases. 13(1). 267–281. 2 indexed citations
8.
Heikamp, Emily, Florian Perner, Eric Wong, et al.. (2021). The menin-MLL1 interaction is a molecular dependency in NUP98-rearranged AML. Blood. 139(6). 894–906. 82 indexed citations
9.
Horiguchi, Hiroto, Marioara F. Ciuculescu, Anja Troeger, et al.. (2018). Deletion of Murine Rhoh induces More Aggressive Diffuse Large B Cell Lymphoma (DLBCL) Via Interaction with Kaiso and Regulation of BCL-6 Expression. Blood. 132(Supplement 1). 1574–1574. 2 indexed citations
10.
Valerio, Daria G., Haiming Xu, Chun‐Wei Chen, et al.. (2017). Histone Acetyltransferase Activity of MOF Is Required for MLL-AF9 Leukemogenesis. Cancer Research. 77(7). 1753–1762. 35 indexed citations
11.
Man, Na, Xiao‐Jian Sun, Yurong Tan, et al.. (2016). Differential role of Id1 in MLL-AF9–driven leukemia based on cell of origin. Blood. 127(19). 2322–2326. 14 indexed citations
12.
Xu, Haiming, Daria G. Valerio, Amit Sinha, et al.. (2016). NUP98 Fusion Proteins Interact with the NSL and MLL1 Complexes to Drive Leukemogenesis. Cancer Cell. 30(6). 863–878. 118 indexed citations
13.
Valerio, Daria G., et al.. (2016). Histone acetyltransferase activity of MOF is required for adult but not early fetal hematopoiesis in mice. Blood. 129(1). 48–59. 35 indexed citations
14.
Chen, Chun‐Wei, Richard P. Koche, Amit Sinha, et al.. (2015). DOT1L inhibits SIRT1-mediated epigenetic silencing to maintain leukemic gene expression in MLL-rearranged leukemia. Nature Medicine. 21(4). 335–343. 155 indexed citations
15.
Wang, Lan, Na Man, Xiao‐Jian Sun, et al.. (2015). Regulation of AKT signaling by Id1 controls t(8;21) leukemia initiation and progression. Blood. 126(5). 640–650. 25 indexed citations
16.
Liu, Fan, Guoyan Cheng, Pierre-Jacques Hamard, et al.. (2015). Arginine methyltransferase PRMT5 is essential for sustaining normal adult hematopoiesis. Journal of Clinical Investigation. 125(9). 3532–3544. 106 indexed citations
17.
Xu, Haiming, et al.. (2014). Role of p21 in a Mouse Model of NUP98-HOXD13 Fusion Driven Myelodysplastic Syndromes (MDS). Blood. 124(21). 4616–4616.
18.
Xu, Haiming, Sílvia Menéndez, Brigitte Schlegelberger, et al.. (2012). Loss of p53 accelerates the complications of myelodysplastic syndrome in a NUP98-HOXD13–driven mouse model. Blood. 120(15). 3089–3097. 18 indexed citations
19.
Aggarwal, Shubhani, et al.. (2003). A highly integrated dual-band triple-mode transmit IC for cellular CDMA2000 applications. IEEE Journal of Solid-State Circuits. 38(9). 1561–1569. 2 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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