Xiaoping Su

44.2k total citations · 8 hit papers
171 papers, 12.1k citations indexed

About

Xiaoping Su is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaoping Su has authored 171 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 57 papers in Cancer Research and 40 papers in Oncology. Recurrent topics in Xiaoping Su's work include Renal cell carcinoma treatment (22 papers), Cancer Genomics and Diagnostics (22 papers) and Cancer-related molecular mechanisms research (22 papers). Xiaoping Su is often cited by papers focused on Renal cell carcinoma treatment (22 papers), Cancer Genomics and Diagnostics (22 papers) and Cancer-related molecular mechanisms research (22 papers). Xiaoping Su collaborates with scholars based in United States, China and France. Xiaoping Su's co-authors include James R. Downing, Charles G. Mullighan, Christopher B. Miller, Jing Ma, Sheila Shurtleff, Xuetao Cao, Ching‐Hon Pui, Elaine Coustan‐Smith, Letha A. Phillips and James Dalton and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaoping Su

163 papers receiving 11.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia

2007 1.2k citations Jing Ma, Xiaoping Su et al. Nature profile →
PD-L1 Expression in Triple-Negative Breast Cancer

2014 1.1k citations Elizabeth A. Mittendorf, Anne V. Philips et al. Cancer Immunology Research profile →
Circular RNA circMTO1 acts as the sponge of microRNA‐9 to suppress hepatocellular carcinoma progression

2017 939 citations Xiaoping Su, Jin Hou et al. profile →
Early T-cell precursor leukaemia: a subtype of very high-risk acute lymphoblastic leukaemia

2009 616 citations Xiaoping Su et al. profile →
Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6

2015 609 citations Qian Zhang, Kai Zhao et al. Nature profile →
Radial glia cells are candidate stem cells of ependymoma

2005 579 citations Xiaoping Su, Richard J. Gilbertson et al. profile →
Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia

2008 546 citations Xiaoping Su, Jing Ma et al. Science profile →
Large-Scale Sequence Analysis of Avian Influenza Isolates

2006 507 citations John C. Obenauer, Perdeep K. Mehta et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoping Su United States	49	5.8k	3.6k	2.8k	2.3k	2.0k	171	12.1k
Seishi Ogawa Japan	69	8.3k 1.4×	2.4k 0.7×	2.8k 1.0×	1.0k 0.5×	5.1k 2.5×	474	16.1k
Michel Vidaud France	75	5.9k 1.0×	1.8k 0.5×	1.9k 0.7×	669 0.3×	1.0k 0.5×	269	17.4k
Mineo Kurokawa Japan	57	6.0k 1.0×	1.0k 0.3×	2.1k 0.8×	934 0.4×	5.2k 2.6×	455	12.8k
Rupert Handgretinger Germany	70	5.3k 0.9×	1.0k 0.3×	5.4k 1.9×	2.1k 0.9×	6.4k 3.2×	493	19.0k
Fernando Arenzana‐Seisdedos France	58	5.0k 0.9×	2.1k 0.6×	6.3k 2.2×	2.0k 0.9×	1.5k 0.7×	93	16.9k
Thomas Bugge United States	62	4.5k 0.8×	2.4k 0.7×	1.9k 0.7×	370 0.2×	2.0k 1.0×	165	11.2k
Charles G. Mullighan United States	64	5.9k 1.0×	2.1k 0.6×	3.9k 1.4×	9.8k 4.3×	8.3k 4.1×	299	19.0k
Eckhard Thiel Germany	57	3.1k 0.5×	564 0.2×	3.1k 1.1×	1.8k 0.8×	2.5k 1.2×	260	11.9k
Harald Stein Germany	56	4.3k 0.7×	2.0k 0.6×	8.3k 2.9×	721 0.3×	1.1k 0.6×	218	20.4k
C. Ellen van der Schoot Netherlands	57	2.8k 0.5×	781 0.2×	1.4k 0.5×	1.4k 0.6×	5.9k 2.9×	332	11.5k

Countries citing papers authored by Xiaoping Su

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoping Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Su

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Davidson, Guillaume, Anas Fadloun, Christelle Thibault-Carpentier, et al.. (2025). TFE3 fusions drive oxidative metabolism and ferroptosis resistance in translocation renal cell carcinoma. EMBO Molecular Medicine. 17(5). 1041–1070. 1 indexed citations

Chachad, Dhruv, Lalit R. Patel, Rasoul Pourebrahim, et al.. (2023). Unique Transcriptional Profiles Underlie Osteosarcomagenesis Driven by Different p53 Mutants. Cancer Research. 83(14). 2297–2311. 6 indexed citations

Dibra, Denada, Mihai Gagea, Yuan Qi, et al.. (2023). p53R245W Mutation Fuels Cancer Initiation and Metastases in NASH-driven Liver Tumorigenesis. Cancer Research Communications. 3(12). 2640–2652. 1 indexed citations

Fiskus, Warren, Christopher P. Mill, Christine Birdwell, et al.. (2023). Targeting of epigenetic co-dependencies enhances anti-AML efficacy of Menin inhibitor in AML with MLL1-r or mutant NPM1. Blood Cancer Journal. 13(1). 53–53. 33 indexed citations

Fiskus, Warren, Steffen Boettcher, Naval Daver, et al.. (2022). Effective Menin inhibitor-based combinations against AML with MLL rearrangement or NPM1 mutation (NPM1c). Blood Cancer Journal. 12(1). 5–5. 73 indexed citations

Villodre, Emilly S., Xiaoding Hu, Richard Larson, et al.. (2021). Lipocalin 2 promotes inflammatory breast cancer tumorigenesis and skin invasion. Molecular Oncology. 15(10). 2752–2765. 27 indexed citations

Chen, Jian, Abhisek Mitra, Shulin Li, et al.. (2020). Targeting the E3 Ubiquitin Ligase PJA1 Enhances Tumor-Suppressing TGFβ Signaling. Cancer Research. 80(9). 1819–1832. 20 indexed citations

Wasylishen, Amanda R., Chang Sun, Sydney M. Moyer, et al.. (2020). Daxx maintains endogenous retroviral silencing and restricts cellular plasticity in vivo. Science Advances. 6(32). eaba8415–eaba8415. 23 indexed citations

Cai, Zhixiong, Geng Chen, Yongyi Zeng, et al.. (2019). Comprehensive Liquid Profiling of Circulating Tumor DNA and Protein Biomarkers in Long-Term Follow-Up Patients with Hepatocellular Carcinoma. Clinical Cancer Research. 25(17). 5284–5294. 115 indexed citations

10.

Li, Hongli, Zhipeng Li, Xiaoping Su, et al.. (2019). Site-specific integration of rotavirus VP6 gene in rabbit β-casein locus by CRISPR/Cas9 system. In Vitro Cellular & Developmental Biology - Animal. 55(8). 586–597. 6 indexed citations

11.

Su, Xiaoping, Jianping Zhang, Roger Mouawad, et al.. (2017). NSD1 Inactivation and SETD2 Mutation Drive a Convergence toward Loss of Function of H3K36 Writers in Clear Cell Renal Cell Carcinomas. Cancer Research. 77(18). 4835–4845. 38 indexed citations

12.

Malouf, Gabriel G., Xiaoping Su, Jianping Zhang, et al.. (2016). DNA Methylation Signature Reveals Cell Ontogeny of Renal Cell Carcinomas. Clinical Cancer Research. 22(24). 6236–6246. 39 indexed citations

13.

Su, Xiaoping, Huaming Wang, Wei Ge, et al.. (2015). An In Vivo Method to Identify microRNA Targets Not Predicted by Computation Algorithms: p21 Targeting by miR-92a in Cancer. Cancer Research. 75(14). 2875–2885. 68 indexed citations

14.

Zhang, Qian, Kai Zhao, Qicong Shen, et al.. (2015). Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6. Nature. 525(7569). 389–393. 609 indexed citations breakdown →

15.

Malouf, Gabriel G., Xiaoping Su, Hui Yao, et al.. (2014). Next-Generation Sequencing of Translocation Renal Cell Carcinoma Reveals Novel RNA Splicing Partners and Frequent Mutations of Chromatin-Remodeling Genes. Clinical Cancer Research. 20(15). 4129–4140. 97 indexed citations

16.

Mittendorf, Elizabeth A., Anne V. Philips, Funda Meric‐Bernstam, et al.. (2014). PD-L1 Expression in Triple-Negative Breast Cancer. Cancer Immunology Research. 2(4). 361–370. 1065 indexed citations breakdown →

17.

Meric‐Bernstam, Funda, Garrett M. Frampton, Jaime Ferrer-Lozano, et al.. (2014). Concordance of Genomic Alterations between Primary and Recurrent Breast Cancer. Molecular Cancer Therapeutics. 13(5). 1382–1389. 68 indexed citations

18.

Malouf, Gabriel G., Federico A. Monzon, Jérôme Couturier, et al.. (2013). Genomic Heterogeneity of Translocation Renal Cell Carcinoma. Clinical Cancer Research. 19(17). 4673–4684. 61 indexed citations

19.

Neale, Geoffrey, Xiaoping Su, Christopher L. Morton, et al.. (2008). Molecular Characterization of the Pediatric Preclinical Testing Panel. Clinical Cancer Research. 14(14). 4572–4583. 95 indexed citations

20.

Obenauer, John C., Perdeep K. Mehta, Xiaoping Su, et al.. (2006). Large-Scale Sequence Analysis of Avian Influenza Isolates. Science. 311(5767). 1576–1580. 507 indexed citations breakdown →

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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