Xinan Yang

2.5k total citations
42 papers, 1.2k citations indexed

About

Xinan Yang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xinan Yang has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Xinan Yang's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (10 papers) and RNA Research and Splicing (9 papers). Xinan Yang is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (10 papers) and RNA Research and Splicing (9 papers). Xinan Yang collaborates with scholars based in United States, China and Germany. Xinan Yang's co-authors include Yves A. Lussier, Younghee Lee, Yong Huang, Jianrong Li, Rainer Spang, Qingbei Zhang, John M. Cunningham, Ivan P. Moskowitz, Hongyun Xing and Stefanie Scheid and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Xinan Yang

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinan Yang United States 18 787 256 216 137 130 42 1.2k
David Staudt United States 7 1.3k 1.6× 274 1.1× 90 0.4× 68 0.5× 266 2.0× 10 1.5k
Julia Calzada‐Wack Germany 22 665 0.8× 138 0.5× 177 0.8× 98 0.7× 233 1.8× 40 1.2k
Wei-Wu He United States 13 1.0k 1.3× 134 0.5× 204 0.9× 194 1.4× 198 1.5× 16 1.4k
Akihisa Kamataki Japan 16 399 0.5× 171 0.7× 97 0.4× 73 0.5× 86 0.7× 33 907
Jean‐Paul Feugeas France 20 580 0.7× 356 1.4× 203 0.9× 147 1.1× 392 3.0× 44 1.1k
Samuel Myllykangas Finland 17 497 0.6× 160 0.6× 169 0.8× 148 1.1× 113 0.9× 40 929
Ilona N. Holcomb United States 12 693 0.9× 306 1.2× 239 1.1× 181 1.3× 284 2.2× 19 1.5k
Matthew J. Oberley United States 20 866 1.1× 210 0.8× 157 0.7× 171 1.2× 485 3.7× 108 1.7k
Qiaozhen Liu China 18 829 1.1× 160 0.6× 167 0.8× 43 0.3× 76 0.6× 22 1.4k
Zhijian Duan United States 20 791 1.0× 312 1.2× 143 0.7× 100 0.7× 224 1.7× 39 1.4k

Countries citing papers authored by Xinan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xinan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinan Yang. A scholar is included among the top collaborators of Xinan Yang 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 Xinan Yang. Xinan Yang 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.
Rankin, Scott A., Jeffrey D. Steimle, Xinan Yang, et al.. (2021). Tbx5 drives Aldh1a2 expression to regulate a RA-Hedgehog-Wnt gene regulatory network coordinating cardiopulmonary development. eLife. 10. 18 indexed citations
2.
Ruthenburg, Alexander J., et al.. (2020). Chromatin-enriched RNAs mark active and repressive cis-regulation: An analysis of nuclear RNA-seq. PLoS Computational Biology. 16(2). e1007119–e1007119. 5 indexed citations
3.
4.
Steimle, Jeffrey D., Wenhui Huang, Anna Kamp, et al.. (2016). Cilia gene mutations cause atrioventricular septal defects by multiple mechanisms. Human Molecular Genetics. 25(14). ddw155–ddw155. 33 indexed citations
5.
Yang, Xinan, Meiyi Li, Bin Wang, et al.. (2015). Systematic computation with functional gene-sets among leukemic and hematopoietic stem cells reveals a favorable prognostic signature for acute myeloid leukemia. BMC Bioinformatics. 16(1). 97–97. 8 indexed citations
6.
Hoffmann, Andrew D., Xinan Yang, Joshua D. Bosman, et al.. (2014). Foxf Genes Integrate Tbx5 and Hedgehog Pathways in the Second Heart Field for Cardiac Septation. PLoS Genetics. 10(10). e1004604–e1004604. 68 indexed citations
7.
Chen, James L., Xinan Yang, Jianrong Li, et al.. (2013). Curation-free biomodules mechanisms in prostate cancer predict recurrent disease. BMC Medical Genomics. 6(S2). S4–S4. 8 indexed citations
8.
9.
Lee, Younghee, Haiquan Li, Jianrong Li, et al.. (2013). Network models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseases. Journal of the American Medical Informatics Association. 20(4). 619–629. 33 indexed citations
10.
Yang, Xinan, Kelly Regan, Yong Huang, et al.. (2012). Single Sample Expression-Anchored Mechanisms Predict Survival in Head and Neck Cancer. PLoS Computational Biology. 8(1). e1002350–e1002350. 63 indexed citations
11.
Ferreira, Caroline M., James L. Chen, Jianrong Li, et al.. (2012). Genetic Interactions between Chromosomes 11 and 18 Contribute to Airway Hyperresponsiveness in Mice. PLoS ONE. 7(1). e29579–e29579. 8 indexed citations
12.
Lussier, Yves A., Hongyun Xing, Joseph K. Salama, et al.. (2011). MicroRNA Expression Characterizes Oligometastasis(es). PLoS ONE. 6(12). e28650–e28650. 207 indexed citations
13.
Yang, Xinan, Yong Huang, Matthew G. Crowson, et al.. (2010). Kinase inhibition-related adverse events predicted from in vitro kinome and clinical trial data. Journal of Biomedical Informatics. 43(3). 376–384. 24 indexed citations
14.
Yang, Xinan, Younghee Lee, Yong Huang, et al.. (2010). Stromal microenvironment processes unveiled by biological component analysis of gene expression in xenograft tumor models. BMC Bioinformatics. 11(S9). S11–S11. 4 indexed citations
15.
Lee, Younghee, Xinan Yang, Yong Huang, et al.. (2010). Network Modeling Identifies Molecular Functions Targeted by miR-204 to Suppress Head and Neck Tumor Metastasis. PLoS Computational Biology. 6(4). e1000730–e1000730. 129 indexed citations
16.
Yang, Xinan, Yong Huang, James L. Chen, et al.. (2009). Mechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemia. BMC Bioinformatics. 10(S9). S6–S6. 11 indexed citations
17.
Yang, Xinan, et al.. (2009). Meta-analysis of Cancer Gene-Profiling Data. Methods in molecular biology. 576. 409–426. 2 indexed citations
18.
Liu, Hongde, Jian Wu, Jianming Xie, et al.. (2008). Characteristics of Nucleosome Core DNA and Their Applications in Predicting Nucleosome Positions. Biophysical Journal. 94(12). 4597–4604. 13 indexed citations
19.
Yang, Xinan & Xiao Sun. (2007). Meta-analysis of several gene lists for distinct types of cancer: A simple way to reveal common prognostic markers. BMC Bioinformatics. 8(1). 118–118. 23 indexed citations
20.
Correll, Carl C., et al.. (2003). RNA recognition and base flipping by the toxin sarcin. Journal of Synchrotron Radiation. 11(1). 93–96. 11 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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