Lei Song

11.4k total citations
41 papers, 849 citations indexed

About

Lei Song is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Lei Song has authored 41 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Genetics. Recurrent topics in Lei Song's work include Cancer Genomics and Diagnostics (12 papers), Genetic Associations and Epidemiology (10 papers) and Bioinformatics and Genomic Networks (6 papers). Lei Song is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Genetic Associations and Epidemiology (10 papers) and Bioinformatics and Genomic Networks (6 papers). Lei Song collaborates with scholars based in United States, China and United Kingdom. Lei Song's co-authors include Subha Madhavan, Yuriy Gusev, Krithika Bhuvaneshwar, Howard A. Fine, Bin Zhu, Maria Teresa Landi, Jianxin Shi, Nilanjan Chatterjee, Yue Wang and Xing Hua and has published in prestigious journals such as Circulation, Nature Communications and Bioinformatics.

In The Last Decade

Lei Song

40 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Song United States 14 466 288 177 119 106 41 849
Maria Suntsova Russia 19 565 1.2× 220 0.8× 175 1.0× 83 0.7× 149 1.4× 61 931
Edward Curry United Kingdom 17 659 1.4× 244 0.8× 83 0.5× 59 0.5× 161 1.5× 31 1.1k
Anna Vähärautio Finland 12 950 2.0× 368 1.3× 88 0.5× 115 1.0× 209 2.0× 18 1.5k
Nicholas C. Spies United States 9 618 1.3× 222 0.8× 191 1.1× 102 0.9× 152 1.4× 30 1.1k
Nils Weinhold United States 12 810 1.7× 384 1.3× 110 0.6× 194 1.6× 282 2.7× 19 1.2k
Manjunath Kustagi United States 9 659 1.4× 137 0.5× 59 0.3× 55 0.5× 120 1.1× 11 1.1k
Trond Hellem Bø Norway 13 626 1.3× 138 0.5× 86 0.5× 86 0.7× 123 1.2× 19 991
Geoff Macintyre Australia 15 671 1.4× 313 1.1× 141 0.8× 229 1.9× 117 1.1× 38 1.0k
Mikko Turunen Finland 13 810 1.7× 180 0.6× 106 0.6× 159 1.3× 256 2.4× 17 1.2k

Countries citing papers authored by Lei Song

Since Specialization
Citations

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

Fields of papers citing papers by Lei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Song. A scholar is included among the top collaborators of Lei Song 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 Lei Song. Lei Song 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.
2.
Kim, Jung, Danielle M. Karyadi, Stephen W. Hartley, et al.. (2023). Inflated expectations: Rare-variant association analysis using public controls. PLoS ONE. 18(1). e0280951–e0280951. 2 indexed citations
3.
Purdue, Mark P., Han Zhang, Jing Qin, et al.. (2023). Improve the model of disease subtype heterogeneity by leveraging external summary data. PLoS Computational Biology. 19(7). e1011236–e1011236. 1 indexed citations
4.
Brown, Derek W., Liam D. Cato, Yajie Zhao, et al.. (2023). Shared and distinct genetic etiologies for different types of clonal hematopoiesis. Nature Communications. 14(1). 5536–5536. 17 indexed citations
5.
Hua, Xing, Zhao Wei, Angela Cecilia Pesatori, et al.. (2020). Genetic and epigenetic intratumor heterogeneity impacts prognosis of lung adenocarcinoma. Nature Communications. 11(1). 2459–2459. 80 indexed citations
6.
Liu, Yukun, Pengfei Li, Lei Song, Kai Yu, & Jing Qin. (2020). Retrospective versus prospective score tests for genetic association with case‐control data. Biometrics. 77(1). 102–112. 1 indexed citations
7.
Purdue, Mark P., Lei Song, Ghislaine Scélo, et al.. (2020). Pathway Analysis of Renal Cell Carcinoma Genome-Wide Association Studies Identifies Novel Associations. Cancer Epidemiology Biomarkers & Prevention. 29(10). 2065–2069. 6 indexed citations
8.
Deng, Lu, Han Zhang, Lei Song, & Kai Yu. (2019). Approximation of bias and mean‐squared error in two‐sample Mendelian randomization analyses. Biometrics. 76(2). 369–379. 12 indexed citations
9.
Pfeiffer, Ruth M., Eduardo Nagore, Susana Puig, et al.. (2019). Contribution of Common Genetic Variants to Familial Aggregation of Disease and Implications for Sequencing Studies. PLoS Genetics. 15(11). e1008490–e1008490. 11 indexed citations
10.
Song, Lei, Aiyi Liu, Jianxin Shi, et al.. (2019). SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics. Bioinformatics. 35(20). 4038–4044. 16 indexed citations
11.
Hua, Xing, Paula L. Hyland, Jing Huang, et al.. (2016). MEGSA: A Powerful and Flexible Framework for Analyzing Mutual Exclusivity of Tumor Mutations. The American Journal of Human Genetics. 98(3). 442–455. 26 indexed citations
12.
Bhuvaneshwar, Krithika, Anas Belouali, Robert M. Johnson, et al.. (2016). G-DOC Plus – an integrative bioinformatics platform for precision medicine. BMC Bioinformatics. 17(1). 193–193. 33 indexed citations
13.
14.
Madhavan, Subha, Lei Song, Krithika Bhuvaneshwar, et al.. (2013). Platform for Personalized Oncology: Integrative analyses reveal novel molecular signatures associated with colorectal cancer relapse.. PubMed. 2013. 118–118. 5 indexed citations
15.
Su, Ming‐Jai, Yilu Wang, Jizheng Wang, et al.. (2012). Abstract 18021: Overexpression of microRNA-221 Cause Heart Failure by Inhibiting Autophagy. Circulation. 126. 1 indexed citations
16.
Kuhn, Elisabetta, Ren‐Chin Wu, Bin Guan, et al.. (2012). Identification of Molecular Pathway Aberrations in Uterine Serous Carcinoma by Genome-wide Analyses. JNCI Journal of the National Cancer Institute. 104(19). 1503–1513. 179 indexed citations
17.
Gao, Linggen, Lin Zhang, Lei Song, et al.. (2010). Identification of a novel lethal fibrillin-1 gene mutation in a Chinese Marfan family and correlation of 3' fibrillin-1 gene mutations with phenotype.. PubMed. 123(20). 2874–8. 7 indexed citations
18.
Wang, Hu, Lei Song, Yubao Zou, et al.. (2009). [A novel hot-spot mutation S236G in the cardiac myosin binding protein C gene in Chinese patient with hypertrophic cardiomyopathy].. PubMed. 37(12). 1078–80. 2 indexed citations
19.
Chen, Li, Guoqiang Yu, David J. Miller, et al.. (2009). A ground truth based comparative study on detecting epistatic SNPs. PubMed. 25(Nov 2009). 26–31. 13 indexed citations
20.
Wang, Hu, Jizheng Wang, Xiaojian Wang, et al.. (2006). Mutation Glu82Lys in lamin A/C gene is associated with cardiomyopathy and conduction defect. Biochemical and Biophysical Research Communications. 344(1). 17–24. 10 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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