Xiangyu Ge

935 total citations
9 papers, 199 citations indexed

About

Xiangyu Ge is a scholar working on Genetics, Pathology and Forensic Medicine and Archeology. According to data from OpenAlex, Xiangyu Ge has authored 9 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Pathology and Forensic Medicine and 2 papers in Archeology. Recurrent topics in Xiangyu Ge's work include Cancer-related molecular mechanisms research (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers) and T-cell and B-cell Immunology (2 papers). Xiangyu Ge is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers) and T-cell and B-cell Immunology (2 papers). Xiangyu Ge collaborates with scholars based in United Kingdom, United States and Estonia. Xiangyu Ge's co-authors include John Robb, Sarah A. Inskip, Toomas Kivisild, Christiana L. Scheib, Anthony Wilder Wohns, Stephen Eyre, Amanda McGovern, Paul Martin, Andrew P. Morris and Jeremy Schwartzentruber and has published in prestigious journals such as Nature Communications, Bioinformatics and Human Molecular Genetics.

In The Last Decade

Xiangyu Ge

8 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiangyu Ge United Kingdom	6	92	74	37	27	26	9	199
Karen Rouault France	10	81 0.9×	98 1.3×	14 0.4×	32 1.2×	10 0.4×	13	286
Sebastian Fantini Italy	11	59 0.6×	197 2.7×	8 0.2×	18 0.7×	57 2.2×	18	282
Małgorzata Skawrońska Poland	10	156 1.7×	134 1.8×	11 0.3×	11 0.4×	34 1.3×	60	304
E. Huguet Spain	12	258 2.8×	168 2.3×	30 0.8×	21 0.8×	19 0.7×	32	364
Daniel Sommer Germany	6	65 0.7×	173 2.3×	11 0.3×	142 5.3×	19 0.7×	8	325
Rita Y.Y. Yong Singapore	10	158 1.7×	131 1.8×	15 0.4×	21 0.8×	4 0.2×	20	275
Jean Michel Dugoujon France	10	187 2.0×	47 0.6×	55 1.5×	22 0.8×	5 0.2×	26	274
Katsumi Yoneyama Japan	8	77 0.8×	232 3.1×	5 0.1×	13 0.5×	30 1.2×	22	325
Jane Romm United States	5	193 2.1×	183 2.5×	7 0.2×	22 0.8×	61 2.3×	6	352
Lúcia Martelli Brazil	12	167 1.8×	194 2.6×	2 0.1×	25 0.9×	13 0.5×	24	344

Countries citing papers authored by Xiangyu Ge

Since Specialization

Citations

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

Fields of papers citing papers by Xiangyu Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyu Ge

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

All Works

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9 of 9 papers shown

Hui, Ruoyun, Christiana L. Scheib, Eugenia D’Atanasio, et al.. (2024). Genetic history of Cambridgeshire before and after the Black Death. Science Advances. 10(3). eadi5903–eadi5903. 13 indexed citations

Inskip, Sarah A., et al.. (2023). Test of the lateral angle method of sex estimation on Anglo‐Saxon and medieval archaeological populations with genetically estimated sex. Archaeometry. 66(2). 445–457.

Wang, Dong, Xiangyu Ge, Jiacheng Xu, et al.. (2022). Unfolded protein response-induced expression of long noncoding RNA Ngrl1 supports peripheral axon regeneration by activating the PI3K-Akt pathway. Experimental Neurology. 352. 114025–114025. 7 indexed citations

Ge, Xiangyu, Mojca Frank‐Bertoncelj, Kerstin Klein, et al.. (2021). Functional genomics atlas of synovial fibroblasts defining rheumatoid arthritis heritability. Genome biology. 22(1). 247–247. 35 indexed citations

Ge, Xiangyu, Amanda McGovern, Kerstin Klein, et al.. (2021). OP0016 IDENTIFICATION OF FUNCTIONAL VARIANTS IN THE RHEUMATOID ARTHRITIS ASSOCIATED JAZF1 LOCUS IN SYNOVIAL FIBROBLASTS. Annals of the Rheumatic Diseases. 80. 9–9. 2 indexed citations

Yang, Jing, Amanda McGovern, Paul Martin, et al.. (2020). Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis. Nature Communications. 11(1). 4402–4402. 38 indexed citations

Shi, Wentao, Sandra Louzada, Marina Grigorova, et al.. (2019). Evolutionary and functional analysis of RBMY1 gene copy number variation on the human Y chromosome. Human Molecular Genetics. 28(16). 2785–2798. 5 indexed citations

Gilly, Arthur, Lorraine Southam, Dániel Süveges, et al.. (2018). Very low-depth whole-genome sequencing in complex trait association studies. Bioinformatics. 35(15). 2555–2561. 60 indexed citations

Inskip, Sarah A., Christiana L. Scheib, Anthony Wilder Wohns, et al.. (2018). Evaluating macroscopic sex estimation methods using genetically sexed archaeological material: The medieval skeletal collection from St John's Divinity School, Cambridge. American Journal of Physical Anthropology. 168(2). 340–351. 39 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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