Yaning Yang

518 total citations
19 papers, 344 citations indexed

About

Yaning Yang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yaning Yang has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yaning Yang's work include Gene expression and cancer classification (5 papers), Cancer Genomics and Diagnostics (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Yaning Yang is often cited by papers focused on Gene expression and cancer classification (5 papers), Cancer Genomics and Diagnostics (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Yaning Yang collaborates with scholars based in China, United States and Taiwan. Yaning Yang's co-authors include Xing Hua, Pengyuan Liu, Xin Xing, Yan Lü, Zhanfeng Wang, Jun Zhu, Juze Yang, Xinyi Qian, Shu‐Hsuan Liu and Qingbiao Wu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yaning Yang

16 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaning Yang China	10	183	97	47	31	30	19	344
Ryan Gill United States	11	200 1.1×	62 0.6×	19 0.4×	20 0.6×	43 1.4×	34	394
Ker-Chau Li United States	11	263 1.4×	80 0.8×	71 1.5×	21 0.7×	27 0.9×	14	550
Jorge M. Arevalillo Spain	11	85 0.5×	58 0.6×	7 0.1×	42 1.4×	6 0.2×	32	287
Michal Pešta Czechia	13	207 1.1×	178 1.8×	9 0.2×	11 0.4×	53 1.8×	42	493
Egil Ferkingstad Norway	10	150 0.8×	22 0.2×	49 1.0×	4 0.1×	55 1.8×	16	442
Mónica Benito Spain	7	224 1.2×	59 0.6×	29 0.6×	36 1.2×	10 0.3×	16	425
Pierre Neuvial France	13	276 1.5×	142 1.5×	159 3.4×	23 0.7×	11 0.4×	33	531
Bernard Omolo United States	11	127 0.7×	44 0.5×	6 0.1×	55 1.8×	6 0.2×	33	339
Juhee Lee United States	11	87 0.5×	62 0.6×	18 0.4×	20 0.6×	29 1.0×	30	402
Y. Cho South Korea	7	257 1.4×	27 0.3×	43 0.9×	9 0.3×	7 0.2×	20	392

Countries citing papers authored by Yaning Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yaning Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaning Yang

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

All Works

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19 of 19 papers shown

Yuan, Min, et al.. (2024). Identifying key circulating tumor DNA parameters for predicting clinical outcomes in metastatic non-squamous non-small cell lung cancer after first-line chemoimmunotherapy. Nature Communications. 15(1). 6862–6862. 9 indexed citations

Wang, Tian, et al.. (2024). MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification. Bioinformatics. 40(1). 1 indexed citations

Li, Wentian, et al.. (2023). Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events. The International Journal of Biostatistics. 20(1). 43–56.

Li, Wentian, Andrew Shih, Yun Freudenberg‐Hua, Wen Fury, & Yaning Yang. (2021). Beyond standard pipeline and p < 0.05 in pathway enrichment analyses. Computational Biology and Chemistry. 92. 107455–107455. 14 indexed citations

Fang, Hongyan, et al.. (2021). A greedy approach for mutual exclusivity analysis in cancer study. Biostatistics. 23(3). 910–925.

Yang, Yaning, Chao‐Wei Huang, Van‐Huy Nguyen, & Jeffrey C.S. Wu. (2021). Enhanced methanol production by two-stage reaction of CO2 hydrogenation at atmospheric pressure. Catalysis Communications. 162. 106373–106373. 5 indexed citations

Yuan, Min, Zhigang Zhu, Yaning Yang, et al.. (2020). Efficient algorithms for covariate analysis with dynamic data using nonlinear mixed-effects model. Statistical Methods in Medical Research. 30(1). 233–243. 2 indexed citations

Han, Yi, Juze Yang, Xinyi Qian, et al.. (2019). DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies. Nucleic Acids Research. 47(8). e45–e45. 94 indexed citations

Xie, Min, et al.. (2018). Reliability assessment of system under a generalized run shock model. Journal of Applied Probability. 55(4). 1249–1260. 26 indexed citations

10.

Yang, Yaning, et al.. (2018). Demonstration of a high-efficiency MWPT System for Aerospace. 1–4. 6 indexed citations

11.

Chu, Chen, Xing Hua, Yaning Yang, et al.. (2015). deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies. BMC Genomics. 16(1). 455–455. 13 indexed citations

12.

Huang, Yu‐Shan, Jin‐Ji Yang, Qing Zhou, et al.. (2014). Lower Ras expression as an independent predictor of patient outcomes in lung cancer treated with bevacizumab plus chemotherapy. Cancer Gene Therapy. 21(3). 110–114. 7 indexed citations

13.

Xing, Xin, et al.. (2014). Robust minimum variance portfolio with L-infinity constraints. Journal of Banking & Finance. 46. 107–117. 36 indexed citations

14.

Yang, Jin‐Ji, et al.. (2014). Failure Patterns to Crizotinib and Survival Benefit in Advanced Alk-Positive Lung Adenocarcinoma. Annals of Oncology. 25. iv457–iv457.

15.

Hua, Xing, Haiming Xu, Yaning Yang, et al.. (2013). DrGaP: A Powerful Tool for Identifying Driver Genes and Pathways in Cancer Sequencing Studies. The American Journal of Human Genetics. 93(3). 439–451. 55 indexed citations

16.

Freudenberg, Jan, Ming‐Yi Wang, Yaning Yang, & Wentian Li. (2009). Partial correlation analysis indicates causal relationships between GC-content, exon density and recombination rate in the human genome. BMC Bioinformatics. 10(S1). S66–S66. 26 indexed citations

17.

Feng, Yang, Han Ma, Zhanfeng Wang, Yaning Yang, & Zhiliang Ying. (2009). Alignment of protein mass spectrometry data by integrated Markov chain shifting method. Statistics and Its Interface. 2(3). 329–340. 2 indexed citations

18.

Wang, Zhanfeng, Lijie Liu, Peng Zhao, et al.. (2008). Surface enhanced laser desorption/ionization profiling: New diagnostic method of HBV‐related hepatocellular carcinoma. Journal of Gastroenterology and Hepatology. 24(1). 55–62. 10 indexed citations

19.

Wang, Zhanfeng, Yuan‐chin Ivan Chang, Zhiliang Ying, Liang Zhu, & Yaning Yang. (2007). A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve. Bioinformatics. 23(20). 2788–2794. 38 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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