Lixing Yang

49.8k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Lixing Yang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Lixing Yang has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Lixing Yang's work include Cancer Genomics and Diagnostics (10 papers), RNA modifications and cancer (5 papers) and Genomic variations and chromosomal abnormalities (4 papers). Lixing Yang is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), RNA modifications and cancer (5 papers) and Genomic variations and chromosomal abnormalities (4 papers). Lixing Yang collaborates with scholars based in United States, South Korea and China. Lixing Yang's co-authors include Jeffrey L. Bennetzen, Peter J. Park, Psalm Haseley, Charles Lee, Lovelace J. Luquette, Raju Kucherlapati, Eunjung Lee, David A. Wheeler, Richard A. Gibbs and Ömer Gökçümen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Lixing Yang

20 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Landscape of Somatic Retrotransposition in Human Cancers

2012 532 citations Eunjung Lee, Rebecca C. Iskow et al. Science profile →

Peers

Lixing Yang

MB

PS

CR

GENET

ONCOL

Jinhuan Wang China

Irina Mohorianu United Kingdom

María Méndez-Lago Spain

Artyom A. Alekseyenko United States

Ko Ishihara Japan

Gang Ren China

Madelaine Gogol United States

Rainer Büschges Germany

David Porubský United States

Aditya K. Sengupta Germany

Jinhuan Wang China

Lixing Yang

770 ×0.7

MB

385 ×0.6

PS

432 ×1.3

CR

384 ×1.2

GENET

46 ×0.5

ONCOL

Citations per year, relative to Lixing Yang Lixing Yang (= 1×) peers Jinhuan Wang

Countries citing papers authored by Lixing Yang

Since Specialization

Citations

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

Fields of papers citing papers by Lixing Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixing Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Badura, Michelle L., Patrick C. O’Leary, Troy M. Robinson, et al.. (2024). Transcription and DNA replication collisions lead to large tandem duplications and expose targetable therapeutic vulnerabilities in cancer. Nature Cancer. 5(12). 1885–1901. 4 indexed citations

2.

Yesilkanal, Ali E., Fan Wang, Yang Yang, et al.. (2024). HYENA detects oncogenes activated by distal enhancers in cancer. Nucleic Acids Research. 52(16). e77–e77. 1 indexed citations

3.

Zhong, Xiaoming, et al.. (2023). SFyNCS detects oncogenic fusions involving non-coding sequences in cancer. Nucleic Acids Research. 51(18). e96–e96. 3 indexed citations

4.

Yang, Yang & Lixing Yang. (2023). Somatic structural variation signatures in pediatric brain tumors. Cell Reports. 42(10). 113276–113276. 5 indexed citations

5.

Bao, Lisui, Xiaoming Zhong, Yang Yang, & Lixing Yang. (2022). Starfish infers signatures of complex genomic rearrangements across human cancers. Nature Cancer. 3(10). 1247–1259. 18 indexed citations

6.

Yun, Jae Won, Lixing Yang, Hye-Young Park, et al.. (2020). Dysregulation of cancer genes by recurrent intergenic fusions. Genome biology. 21(1). 166–166. 25 indexed citations

7.

Yang, Lixing. (2020). A Practical Guide for Structural Variation Detection in the Human Genome. Current Protocols in Human Genetics. 107(1). e103–e103. 28 indexed citations

8.

Yang, Lixing, Jake June-Koo Lee, Semin Lee, et al.. (2019). An enhanced genetic model of colorectal cancer progression history. Genome biology. 20(1). 168–168. 29 indexed citations

9.

Cortés‐Ciriano, Isidro, Jake June-Koo Lee, Ruibin Xi, et al.. (2018). Abstract LB-378: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing. Cancer Research. 78(13_Supplement). LB–378. 1 indexed citations

10.

Lu, Hengyu, Turgut Dogruluk, Caitlin L. Grzeskowiak, et al.. (2017). Engineering and Functional Characterization of Fusion Genes Identifies Novel Oncogenic Drivers of Cancer. Cancer Research. 77(13). 3502–3512. 30 indexed citations

11.

Yang, Lixing, Mi-Sook Lee, Hengyu Lu, et al.. (2016). Analyzing Somatic Genome Rearrangements in Human Cancers by Using Whole-Exome Sequencing. The American Journal of Human Genetics. 98(5). 843–856. 29 indexed citations

12.

Yang, Lixing, et al.. (2015). Sodium deoxyribonucleotide injection at Zusanli point for chemotherapy-induced leukopenia in patients with lung cancer. Traditional Chinese Medicine. 37(7). 602–604. 1 indexed citations

13.

Evrony, Gilad D., Eun‐Jung Lee, Bhaven K. Mehta, et al.. (2015). Cell Lineage Analysis in Human Brain Using Endogenous Retroelements. Neuron. 85(1). 49–59. 184 indexed citations

14.

Yang, Lixing, Lovelace J. Luquette, Nils Gehlenborg, et al.. (2014). Diverse Mechanisms of Somatic Structural Variations in Human Cancer Genomes. Cell. 157(7). 1736–1736. 7 indexed citations

15.

Yang, Lixing, Lovelace J. Luquette, Nils Gehlenborg, et al.. (2013). Diverse Mechanisms of Somatic Structural Variations in Human Cancer Genomes. Cell. 153(4). 919–929. 211 indexed citations

16.

Lee, Eunjung, Rebecca C. Iskow, Lixing Yang, et al.. (2012). Landscape of Somatic Retrotransposition in Human Cancers. Science. 337(6097). 967–971. 532 indexed citations breakdown →

17.

Zhu, Qihui, Shavannor M. Smith, Mulu Ayele, et al.. (2012). High-Throughput Discovery of Mutations in Tef Semi-Dwarfing Genes by Next-Generation Sequencing Analysis. Genetics. 192(3). 819–829. 41 indexed citations

18.

Lee, Eunjung, Rebecca C. Iskow, Lixing Yang, et al.. (2012). Analysis of somatic retrotransposition in human cancers. BMC Proceedings. 6(S6).

19.

Yang, Lixing & Jeffrey L. Bennetzen. (2009). Distribution, diversity, evolution, and survival of Helitrons in the maize genome. Proceedings of the National Academy of Sciences. 106(47). 19922–19927. 105 indexed citations

20.

Yang, Lixing & Jeffrey L. Bennetzen. (2009). Structure-based discovery and description of plant and animal Helitrons. Proceedings of the National Academy of Sciences. 106(31). 12832–12837. 75 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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