Xiaoding Liu

702 total citations
18 papers, 287 citations indexed

About

Xiaoding Liu is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Xiaoding Liu has authored 18 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Xiaoding Liu's work include Pancreatic and Hepatic Oncology Research (8 papers), Cancer Genomics and Diagnostics (6 papers) and Genetic factors in colorectal cancer (4 papers). Xiaoding Liu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Cancer Genomics and Diagnostics (6 papers) and Genetic factors in colorectal cancer (4 papers). Xiaoding Liu collaborates with scholars based in China. Xiaoding Liu's co-authors include Zhiyong Liang, Huanwen Wu, Hui Zhang, Huanli Duan, Xinyu Ren, Wei‐Min Tong, Zhiwen Zhang, Ruiyu Li, Menghua Dai and Yamei Niu and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Immunology.

In The Last Decade

Xiaoding Liu

18 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoding Liu China 11 126 112 99 56 50 18 287
Fabio De Martino Switzerland 8 136 1.1× 94 0.8× 104 1.1× 65 1.2× 26 0.5× 12 305
TaeJeong Oh South Korea 10 210 1.7× 120 1.1× 97 1.0× 93 1.7× 64 1.3× 14 385
Veronika Mančíková Spain 11 143 1.1× 127 1.1× 103 1.0× 117 2.1× 26 0.5× 15 336
Tsunehisa Nomura Japan 9 121 1.0× 137 1.2× 80 0.8× 55 1.0× 37 0.7× 33 292
Sandra Di Gregorio Italy 10 108 0.9× 66 0.6× 41 0.4× 88 1.6× 35 0.7× 17 323
Zsombor Melegh United Kingdom 11 252 2.0× 90 0.8× 101 1.0× 26 0.5× 103 2.1× 29 433
Runyi Ye China 12 192 1.5× 66 0.6× 142 1.4× 39 0.7× 45 0.9× 15 306
PengXin Zhang China 9 261 2.1× 97 0.9× 55 0.6× 40 0.7× 54 1.1× 31 386
Leighton C. Stein United States 10 207 1.6× 132 1.2× 111 1.1× 57 1.0× 97 1.9× 18 397
A Koch Germany 8 180 1.4× 80 0.7× 96 1.0× 28 0.5× 77 1.5× 11 339

Countries citing papers authored by Xiaoding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoding Liu

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

All Works

18 of 18 papers shown
1.
Zhou, Zhe, et al.. (2024). Single cell atlas reveals multilayered metabolic heterogeneity across tumour types. EBioMedicine. 109. 105389–105389. 1 indexed citations
2.
Liu, Xiaoding, Xianglin Yin, Dongmei Li, et al.. (2023). RNA Sequencing Reveals Novel Oncogenic Fusions and Depicts Detailed Fusion Transcripts of FN1-FGFR1 in Phosphaturic Mesenchymal Tumors. Modern Pathology. 36(10). 100266–100266. 12 indexed citations
3.
Zhang, Hui, Xiaoqian Liu, Qiaofei Liu, et al.. (2022). Pancreatic stellate cells exploit Wnt/β-catenin/TCF7-mediated glutamine metabolism to promote pancreatic cancer cells growth. Cancer Letters. 555. 216040–216040. 29 indexed citations
4.
Wu, Huanwen, Shiwei Guo, Xiaoding Liu, et al.. (2022). Noninvasive detection of pancreatic ductal adenocarcinoma using the methylation signature of circulating tumour DNA. BMC Medicine. 20(1). 458–458. 21 indexed citations
5.
6.
Liu, Xiaoqian, Wenqian Wang, Xiaoding Liu, et al.. (2022). Multi‐omics analysis of intra‐tumoural and inter‐tumoural heterogeneity in pancreatic ductal adenocarcinoma. Clinical and Translational Medicine. 12(1). e670–e670. 23 indexed citations
7.
Wang, Jing, Ruiyu Li, Junjie Li, et al.. (2021). Comprehensive analysis of oncogenic fusions in mismatch repair deficient colorectal carcinomas by sequential DNA and RNA next generation sequencing. Journal of Translational Medicine. 19(1). 433–433. 11 indexed citations
8.
Li, Ruiyu, Yangzhige He, Hui Zhang, et al.. (2021). Identification and Validation of Immune Molecular Subtypes in Pancreatic Ductal Adenocarcinoma: Implications for Prognosis and Immunotherapy. Frontiers in Immunology. 12. 690056–690056. 14 indexed citations
9.
He, Da, Qian Shi, Xiaoping Liu, Yanfei Zhong, & Xiaoding Liu. (2021). Spectral–Spatial Fusion Sub-Pixel Mapping Based on Deep Neural Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
10.
Zhang, Zhiwen, et al.. (2021). RNA m6A Demethylase ALKBH5 Protects Against Pancreatic Ductal Adenocarcinoma via Targeting Regulators of Iron Metabolism. Frontiers in Cell and Developmental Biology. 9. 724282–724282. 40 indexed citations
11.
Zhang, Hui, Xiaoding Liu, Huanli Duan, et al.. (2021). DNA Methylation Haplotype Block Markers Efficiently Discriminate Follicular Thyroid Carcinoma from Follicular Adenoma. The Journal of Clinical Endocrinology & Metabolism. 106(4). e1011–e1021. 14 indexed citations
12.
Liu, Xiaoding, Shiwei Guo, Chengcheng Ma, et al.. (2021). Circulating tumor DNA methylation as markers for early detection of pancreatic ductal adenocarcinoma (PDAC).. Journal of Clinical Oncology. 39(3_suppl). 395–395. 2 indexed citations
13.
Wu, Shafei, Xiaoding Liu, Jing Wang, et al.. (2020). DNA Mismatch Repair Deficiency Detection in Colorectal Cancer by a New Microsatellite Instability Analysis System. Interdisciplinary Sciences Computational Life Sciences. 12(2). 145–154. 17 indexed citations
14.
Liu, Xiaoding, Zhiwen Zhang, Huanwen Wu, & Zhiyong Liang. (2020). A new prognosis prediction model combining TNM stage with MAP2K4 and JNK in postoperative pancreatic cancer patients. Pathology - Research and Practice. 217. 153313–153313. 5 indexed citations
15.
Li, Ye, Yatong Li, Min Hui, et al.. (2019). Comparison of surgical treatments of tumor-induced osteomalacia in different locations in the lower limbs. Medicine. 98(11). e14846–e14846. 4 indexed citations
16.
Zhang, Zhiwen, Xiaoding Liu, Rui Huang, et al.. (2019). Upregulation of nucleoprotein AHNAK is associated with poor outcome of pancreatic ductal adenocarcinoma prognosis via mediating epithelial-mesenchymal transition. Journal of Cancer. 10(16). 3860–3870. 25 indexed citations
17.
Duan, Huanli, Xiaoding Liu, Xinyu Ren, et al.. (2019). Mutation profiles of follicular thyroid tumors by targeted sequencing. Diagnostic Pathology. 14(1). 39–39. 46 indexed citations
18.
Liu, Xiaoding, et al.. (2015). Correlation between expression and significance of δ-catenin, CD31, and VEGF of non-small cell lung cancer. Genetics and Molecular Research. 14(4). 13496–13503. 6 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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