Xiang Yao

1.1k total citations · 1 hit paper
19 papers, 665 citations indexed

About

Xiang Yao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Xiang Yao has authored 19 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Xiang Yao's work include Bioinformatics and Genomic Networks (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune cells in cancer (3 papers). Xiang Yao is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune cells in cancer (3 papers). Xiang Yao collaborates with scholars based in United States, Belgium and Sweden. Xiang Yao's co-authors include Natalie Taylor, Yingbo He, George Inana, Weijun An, Ian R. Harris, Jing Cao, Timothy W. Lovenberg, Anindya Bhattacharya, Benjamin D. Humphreys and Matthew D. Breyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Xiang Yao

19 papers receiving 655 citations

Hit Papers

Mapping the single-cell transcriptomic response of murine... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Yao United States 13 339 129 126 92 81 19 665
Changping Yao United States 14 369 1.1× 166 1.3× 186 1.5× 95 1.0× 17 0.2× 19 868
Yue Qiu China 13 189 0.6× 61 0.5× 41 0.3× 72 0.8× 23 0.3× 30 547
Cheng‐mao Lin United States 16 397 1.2× 86 0.7× 169 1.3× 38 0.4× 386 4.8× 29 861
Sookja Kim Chung Hong Kong 14 400 1.2× 55 0.4× 70 0.6× 141 1.5× 21 0.3× 22 739
Patrick Osei‐Owusu United States 16 306 0.9× 74 0.6× 25 0.2× 63 0.7× 37 0.5× 38 716
Qingjun Lu China 18 319 0.9× 189 1.5× 112 0.9× 171 1.9× 229 2.8× 42 916
Lvshuang Liao China 15 345 1.0× 78 0.6× 60 0.5× 123 1.3× 28 0.3× 20 570
Javier Sancho-Pellúz Spain 18 954 2.8× 82 0.6× 96 0.8× 208 2.3× 354 4.4× 33 1.2k
Eric P. Nagele United States 9 348 1.0× 148 1.1× 200 1.6× 65 0.7× 30 0.4× 18 863
Yogita K. Adlakha India 14 679 2.0× 84 0.7× 76 0.6× 67 0.7× 25 0.3× 18 968

Countries citing papers authored by Xiang Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yao

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

All Works

19 of 19 papers shown
1.
Li, Jinhu, et al.. (2023). The anticonvulsant effect of saiga horn on febrile seizures by regulating brain serotonin content and inhibiting neuroinflammation. Journal of Ethnopharmacology. 319(Pt 1). 117180–117180. 5 indexed citations
3.
Marella, Mathieu, Xiang Yao, Vinicius Carreira, et al.. (2022). Comprehensive BCMA Expression Profiling in Adult Normal Human Brain Suggests a Low Risk of On-target Neurotoxicity in BCMA-targeting Multiple Myeloma Therapy. Journal of Histochemistry & Cytochemistry. 70(4). 273–287. 19 indexed citations
4.
Wu, Hao, Xiang Yao, Dermot F. Reilly, et al.. (2022). Mapping the single-cell transcriptomic response of murine diabetic kidney disease to therapies. Cell Metabolism. 34(7). 1064–1078.e6. 137 indexed citations breakdown →
5.
Harrington, Anthony, Changlu Liu, Naomi Phillips, et al.. (2022). Identification and characterization of select oxysterols as ligands for GPR17. British Journal of Pharmacology. 180(4). 401–421. 7 indexed citations
6.
He, Yingbo, Natalie Taylor, Xiang Yao, & Anindya Bhattacharya. (2021). Mouse primary microglia respond differently to LPS and poly(I:C) in vitro. Scientific Reports. 11(1). 10447–10447. 61 indexed citations
7.
Goldsmith, Rachel E., Ingrid Cornax, Ying Jing, et al.. (2021). P-095: Normal human tissue expression of G-protein coupled receptor 5D (GPRC5D), a promising novel target for Multiple Myeloma, is restricted to plasma cells and hard keratinized tissues. Clinical Lymphoma Myeloma & Leukemia. 21. S91–S91. 16 indexed citations
8.
Venkatakrishnan, AJ, Arjun Puranik, Akash Anand, et al.. (2020). Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. SHILAP Revista de lepidopterología. 46 indexed citations
9.
Manthey, Carl L., Beverley A. Moore, Yanqing Chen, et al.. (2019). The CSF-1-receptor inhibitor, JNJ-40346527 (PRV-6527), reduced inflammatory macrophage recruitment to the intestinal mucosa and suppressed murine T cell mediated colitis. PLoS ONE. 14(11). e0223918–e0223918. 18 indexed citations
10.
Wu, Chun, Bevan E. Huang, Guang Chen, et al.. (2019). Integrative Analysis of DiseaseLand Omics Database for Disease Signatures and Treatments: A Bipolar Case Study. Frontiers in Genetics. 10. 396–396. 6 indexed citations
11.
Wang, Lien, Grace Lee, Chester Kuei, et al.. (2019). GPR139 and Dopamine D2 Receptor Co-express in the Same Cells of the Brain and May Functionally Interact. Frontiers in Neuroscience. 13. 281–281. 19 indexed citations
12.
He, Yingbo, et al.. (2018). RNA sequencing analysis reveals quiescent microglia isolation methods from postnatal mouse brains and limitations of BV2 cells. Journal of Neuroinflammation. 15(1). 153–153. 61 indexed citations
13.
Inana, George, et al.. (2018). RPE phagocytic function declines in age-related macular degeneration and is rescued by human umbilical tissue derived cells. Journal of Translational Medicine. 16(1). 63–63. 88 indexed citations
14.
Arner, Peter, Indranil Sinha, Huan Xu, et al.. (2016). The epigenetic signature of systemic insulin resistance in obese women. Diabetologia. 59(11). 2393–2405. 55 indexed citations
15.
Liu, Changlu, Pascal Bonaventure, Grace Lee, et al.. (2015). GPR139, an Orphan Receptor Highly Enriched in the Habenula and Septum, Is Activated by the Essential Amino Acids l-Tryptophan and l-Phenylalanine. Molecular Pharmacology. 88(5). 911–925. 54 indexed citations
16.
Veeramachaneni, Vamsi, Xiang Yao, Alex Nie, et al.. (2015). Release of (and Lessons Learned from Mining) a Pioneering Large Toxicogenomics Database. Pharmacogenomics. 16(8). 779–801. 4 indexed citations
17.
Cao, Jing, Weijun An, Xiang Yao, et al.. (2015). Human umbilical tissue-derived cells rescue retinal pigment epithelium dysfunction in retinal degeneration. Stem Cells. 34(2). 367–379. 27 indexed citations
18.
Yao, Xiang, et al.. (2015). Keratinocyte differentiation and upregulation of ceramide synthesis induced by an oat lipid extract via the activation of PPAR pathways. Experimental Dermatology. 24(4). 290–295. 32 indexed citations
19.
Dai, Heng, Bin Tian, Wei Zhao, et al.. (2004). DYNAMIC INTEGRATION OF GENE ANNOTATION AND ITS APPLICATION TO MICROARRAY ANALYSIS. Journal of Bioinformatics and Computational Biology. 1(4). 627–645. 5 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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