Jiaming Xue

1.0k total citations
34 papers, 642 citations indexed

About

Jiaming Xue is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jiaming Xue has authored 34 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jiaming Xue's work include Forensic and Genetic Research (9 papers), Molecular Biology Techniques and Applications (8 papers) and Occupational and environmental lung diseases (5 papers). Jiaming Xue is often cited by papers focused on Forensic and Genetic Research (9 papers), Molecular Biology Techniques and Applications (8 papers) and Occupational and environmental lung diseases (5 papers). Jiaming Xue collaborates with scholars based in China, United States and Italy. Jiaming Xue's co-authors include Giovanni Gaudino, Haining Yang, Michele Carbone, Harvey I. Pass, Joelle Sacks Suarez, Shuangjing Li, Michael Minaai, Ying Huang, Yun Zhang and Guo Zu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Cellular Physiology and International Journal of Remote Sensing.

In The Last Decade

Jiaming Xue

28 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaming Xue China 13 207 153 134 112 76 34 642
Anna‐Kaisa Niemi United States 14 501 2.4× 43 0.3× 238 1.8× 88 0.8× 321 4.2× 27 1.1k
Uta Tacke Germany 13 329 1.6× 146 1.0× 420 3.1× 53 0.5× 124 1.6× 27 1.3k
Laurence M. Black United States 12 192 0.9× 82 0.5× 20 0.1× 79 0.7× 41 0.5× 15 687
Yuemei Feng China 16 215 1.0× 80 0.5× 17 0.1× 98 0.9× 20 0.3× 46 905
Clara Westwell‐Roper Canada 16 314 1.5× 27 0.2× 27 0.2× 160 1.4× 361 4.8× 34 1.1k
Sadrettin Pençe Türkiye 16 141 0.7× 72 0.5× 17 0.1× 46 0.4× 34 0.4× 65 686
Juan Darío Ortigoza‐Escobar Spain 14 243 1.2× 38 0.2× 199 1.5× 23 0.2× 60 0.8× 49 712
Yin Hongxia China 15 315 1.5× 44 0.3× 48 0.4× 103 0.9× 10 0.1× 28 793
Thomas Meißner Germany 16 271 1.3× 32 0.2× 38 0.3× 38 0.3× 265 3.5× 43 877
Xin-Ping Zhao United States 17 231 1.1× 31 0.2× 18 0.1× 42 0.4× 50 0.7× 43 775

Countries citing papers authored by Jiaming Xue

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Xue. A scholar is included among the top collaborators of Jiaming Xue 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 Jiaming Xue. Jiaming Xue 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.
Xue, Jiaming, Guihong Liu, Yuanyuan Xiao, et al.. (2025). Explainable artificial intelligence in forensic DNA analysis: Alleles identification in challenging electropherograms using supervised machine learning methods. Forensic Science International Genetics. 78. 103289–103289.
2.
Xue, Jiaming, Shuai Chen, Yu Wang, et al.. (2025). Association between solid cooking fuels exposure and metabolic syndrome: Evidence from China. Ecotoxicology and Environmental Safety. 289. 117648–117648. 1 indexed citations
3.
Huang, Yong, et al.. (2024). Development of a coding SNP panel for tracking the origin of whole-exome sequencing samples. BMC Genomics. 25(1). 142–142.
4.
Xue, Jiaming, Guihong Liu, Ranran Zhang, et al.. (2024). MHBase: A comprehensive database of short microhaplotypes for advancing forensic genetic analysis. Forensic Science International Genetics. 71. 103062–103062.
5.
Zeng, Qinghe, Xiurong Cai, Jiaming Xue, et al.. (2024). Multiomics analyses decipher intricate changes in the cellular and metabolic landscape of steatotic livers upon dietary restriction and sleeve gastrectomy. International Journal of Biological Sciences. 20(11). 4438–4457. 1 indexed citations
6.
Zhang, Ranran, Jiaming Xue, Dezhi Chen, et al.. (2023). An MPS-Based 50plex Microhaplotype Assay for Forensic DNA Analysis. Genes. 14(4). 865–865. 10 indexed citations
7.
Chen, Daiwen, Peng Song, Yu Wang, et al.. (2023). CircMAPK9 promotes adipogenesis through modulating hsa-miR-1322/FTO axis in obesity. iScience. 26(10). 107756–107756. 8 indexed citations
8.
Xue, Jiaming, Ranran Zhang, Dezhi Chen, et al.. (2023). Evaluation of microhaplotype panels for complex kinship analysis using massively parallel sequencing. Forensic Science International Genetics. 65. 102887–102887. 14 indexed citations
9.
Xue, Jiaming, et al.. (2023). PBS: a prospective longitudinal multi-omics bariatric surgery cohort. Precision Clinical Medicine. 6(4). pbad032–pbad032.
10.
11.
Xiao, Yuanyuan, Dezhi Chen, Duo Peng, et al.. (2022). Establishment of a co-analysis system for personal identification and body fluid identification: a preliminary report. International Journal of Legal Medicine. 136(6). 1565–1575. 4 indexed citations
12.
Xue, Jiaming, Yuanyuan Xiao, Ranran Zhang, et al.. (2022). An overview of SNP-SNP microhaplotypes in the 26 populations of the 1000 Genomes Project. International Journal of Legal Medicine. 136(5). 1211–1226. 13 indexed citations
13.
Xue, Jiaming, et al.. (2021). Association of Clinical Parameters and Prognosis with the Pretreatment Systemic Immune-inflammation Index (SII) in Patients with Gastric Cancer. Journal of College of Physicians And Surgeons Pakistan. 31(1). 83–88. 12 indexed citations
14.
15.
Xue, Jiaming, Huiliang Yang, Shanshan Huang, et al.. (2021). Comparison of the overall survival of proximal and distal gastric cancer after gastrectomy: a systematic review and meta-analysis. World Journal of Surgical Oncology. 19(1). 17–17. 13 indexed citations
16.
Xue, Jiaming, Simone Patergnani, Carlotta Giorgi, et al.. (2020). Asbestos induces mesothelial cell transformation via HMGB1-driven autophagy. Proceedings of the National Academy of Sciences. 117(41). 25543–25552. 57 indexed citations
17.
Zhang, Xiangwen, Jiaming Xue, Huiliang Yang, Tingting Zhou, & Guo Zu. (2020). TNFAIP6 promotes invasion and metastasis of gastric cancer and indicates poor prognosis of patients. Tissue and Cell. 68. 101455–101455. 27 indexed citations
18.
Gaudino, Giovanni, Jiaming Xue, & Haining Yang. (2020). How asbestos and other fibers cause mesothelioma. Translational Lung Cancer Research. 9(S1). S39–S46. 52 indexed citations
19.
Xue, Jiaming, Weidong Wen, & Haitao Cui. (2020). Fatigue life prediction method for notched 3D woven composites based on progressive damage and field intensity. Journal of Engineered Fibers and Fabrics. 15. 4 indexed citations
20.
Szymiczek, Agata, Sandra Pastorino, David Larson, et al.. (2017). FTY720 inhibits mesothelioma growth in vitro and in a syngeneic mouse model. Journal of Translational Medicine. 15(1). 58–58. 20 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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