Suxia Geng

1.5k total citations
67 papers, 971 citations indexed

About

Suxia Geng is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Suxia Geng has authored 67 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Hematology, 23 papers in Genetics and 21 papers in Molecular Biology. Recurrent topics in Suxia Geng's work include Acute Myeloid Leukemia Research (23 papers), Immune Cell Function and Interaction (15 papers) and Hematopoietic Stem Cell Transplantation (13 papers). Suxia Geng is often cited by papers focused on Acute Myeloid Leukemia Research (23 papers), Immune Cell Function and Interaction (15 papers) and Hematopoietic Stem Cell Transplantation (13 papers). Suxia Geng collaborates with scholars based in China, Germany and Poland. Suxia Geng's co-authors include Jianyu Weng, Xin Du, Suijing Wu, Peilong Lai, Yangqiu Li, Lijian Yang, Shaohua Chen, Xin Huang, Chengxin Deng and Rong Guo and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Suxia Geng

63 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suxia Geng China 16 380 361 350 317 180 67 971
Syed A. Mian United Kingdom 17 406 1.1× 411 1.1× 981 2.8× 304 1.0× 179 1.0× 37 1.4k
Melissa van Pel Netherlands 17 311 0.8× 322 0.9× 229 0.7× 257 0.8× 201 1.1× 47 1.0k
Suijing Wu China 10 276 0.7× 275 0.8× 155 0.4× 139 0.4× 111 0.6× 27 661
Luciana Vinti Italy 15 219 0.6× 274 0.8× 248 0.7× 162 0.5× 194 1.1× 59 781
Camillo Almici Italy 19 314 0.8× 248 0.7× 502 1.4× 123 0.4× 330 1.8× 72 1.1k
Guntram Büsche Germany 21 636 1.7× 733 2.0× 801 2.3× 180 0.6× 227 1.3× 63 1.5k
Joan García‐López Spain 14 259 0.7× 337 0.9× 510 1.5× 263 0.8× 210 1.2× 20 1.1k
Sandrine Poglio France 14 193 0.5× 244 0.7× 123 0.4× 177 0.6× 187 1.0× 22 789
Jesse Schoonmaker United States 5 341 0.9× 248 0.7× 581 1.7× 225 0.7× 250 1.4× 7 979
Debora Cecchini Italy 9 180 0.5× 369 1.0× 269 0.8× 405 1.3× 220 1.2× 11 852

Countries citing papers authored by Suxia Geng

Since Specialization
Citations

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

Fields of papers citing papers by Suxia Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suxia Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Suxia Geng. A scholar is included among the top collaborators of Suxia Geng 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 Suxia Geng. Suxia Geng 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.
Geng, Suxia, et al.. (2025). Microbial quorum sensing: Mechanisms, applications, and challenges. Biotechnology Advances. 86. 108733–108733.
2.
Geng, Suxia, et al.. (2024). A Strip Steel Surface Defect Salient Object Detection Based on Channel, Spatial and Self-Attention Mechanisms. Electronics. 13(21). 4277–4277. 1 indexed citations
3.
Li, Chao, Suxia Geng, Yulian Wang, et al.. (2024). Comprehensive analysis of human monocyte subsets using full-spectrum flow cytometry and hierarchical marker clustering. Frontiers in Immunology. 15. 1405249–1405249. 4 indexed citations
4.
Wu, Miao, Yawen Wang, Yulian Wang, et al.. (2023). Mesenchymal stem cells reversibly de-differentiate myofibroblasts to fibroblast-like cells by inhibiting the TGF-β-SMAD2/3 pathway. Molecular Medicine. 29(1). 59–59. 14 indexed citations
5.
Deng, Chengxin, Ping Wu, Xin Huang, et al.. (2023). Outcomes of intermediate or high‐risk CMML patients treated with hypomethylating agents combined with venetoclax: A single center experience. Clinical and Translational Science. 17(1). e13711–e13711. 1 indexed citations
6.
Chen, Xiaomei, Yulian Wang, Xin Huang, et al.. (2023). Targeting Bcl-6 prevents sclerodermatous chronic graft-versus-host disease by abrogating T follicular helper differentiation in mice. International Immunopharmacology. 117. 109746–109746. 3 indexed citations
7.
Zhou, Lijuan, Yulian Wang, Chao Li, et al.. (2022). Deep learning-based transcriptome model predicts survival of T-cell acute lymphoblastic leukemia. Frontiers in Oncology. 12. 1057153–1057153. 1 indexed citations
8.
Wang, Jinghua, Zewei Zhuo, Yanjun Wang, et al.. (2022). Identification and Validation of a Prognostic Risk-Scoring Model Based on Ferroptosis-Associated Cluster in Acute Myeloid Leukemia. Frontiers in Cell and Developmental Biology. 9. 800267–800267. 28 indexed citations
9.
Wang, Jinghua, Weida Wang, Hao Chen, et al.. (2021). C‐Type Lectin‐Like Molecule‐1 as a Biomarker for Diagnosis and Prognosis in Acute Myeloid Leukemia: A Preliminary Study. BioMed Research International. 2021(1). 6643948–6643948. 12 indexed citations
10.
Huang, Xin, Cunte Chen, Suxia Geng, et al.. (2021). Lower BCL11B expression is associated with adverse clinical outcome for patients with myelodysplastic syndrome. Biomarker Research. 9(1). 46–46. 8 indexed citations
11.
Wang, Yulian, Peilong Lai, Xiaomei Chen, et al.. (2017). Attenuation of cGVHD by C5a/C5aR blockade is associated with increased frequency of Treg. Scientific Reports. 7(1). 3603–3603. 9 indexed citations
12.
13.
Geng, Suxia, Jianyu Weng, Shaohua Chen, et al.. (2015). Abnormalities in the T Cell Receptor Vδ Repertoire and Foxp3 Expression in Refractory Anemia with Ringed Sideroblasts. DNA and Cell Biology. 34(9). 588–595. 2 indexed citations
14.
Qin, Ya‐Zhen, Dongmei Wang, Chun Qiao, et al.. (2015). [A multicenter comparison study on the detection of BCR-ABL tyrosine kinase domain point mutation].. PubMed Central. 36(11). 902–5.
15.
Wu, Ping, Suxia Geng, Jianyu Weng, et al.. (2014). The hENT1 and DCK genes underlie the decitabine response in patients with myelodysplastic syndrome. Leukemia Research. 39(2). 216–220. 26 indexed citations
16.
Geng, Suxia, Jianyu Weng, Xin Du, et al.. (2012). Comparison of the Distribution and Clonal Expansion Features of the T-Cell γδ Repertoire in Myelodysplastic Syndrome-RAEB and RAEB with Progression to AML. DNA and Cell Biology. 31(10). 1563–1570. 11 indexed citations
17.
Lai, Peilong, Jianyu Weng, Rong Guo, et al.. (2011). Gene Expression Profiling-Based Identification of CD28 and PI3K as New Biomarkers for Chronic Graft-Versus-Host Disease. DNA and Cell Biology. 30(12). 1019–1025. 11 indexed citations
18.
Zhong, Liye, Tianhao Liu, Yangqiu Li, et al.. (2009). [Serum proteomics in patients with RAEB myelodysplastic syndromes].. PubMed. 29(9). 1799–801. 2 indexed citations
19.
Li, Yangqiu, Shaohua Chen, Lijian Yang, et al.. (2007). TRAV and TRBV repertoire, clonality and the proliferative history of umbilical cord blood T-cells. Transplant Immunology. 18(2). 151–158. 34 indexed citations
20.
Li, Yangqiu, Shaohua Chen, Lijian Yang, et al.. (2005). Clonal expanded TCR Vβ T cells in patients with APL. Hematology. 10(2). 135–139. 21 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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