Lanying Wang

584 total citations
3 papers, 10 citations indexed

About

Lanying Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Lanying Wang has authored 3 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Genetics. Recurrent topics in Lanying Wang's work include Single-cell and spatial transcriptomics (2 papers), Genomic variations and chromosomal abnormalities (1 paper) and Extracellular vesicles in disease (1 paper). Lanying Wang is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Genomic variations and chromosomal abnormalities (1 paper) and Extracellular vesicles in disease (1 paper). Lanying Wang collaborates with scholars based in China, Singapore and United States. Lanying Wang's co-authors include Lin Gao, Yuxuan Hu, Peter Ang, Wan‐Teck Lim, Eng-Huat Tan, Ann S. G. Lee, Jens Samol, Daniel Shao-Weng Tan, Yoon Sim Yap and Gillianne Lai and has published in prestigious journals such as Briefings in Bioinformatics, Human Genomics and Big Data Mining and Analytics.

In The Last Decade

Lanying Wang

2 papers receiving 10 citations

Peers

Lanying Wang
Comparison fields: 5 of 10
  • Molecular Biology 6
  • Pulmonary and Respiratory Medicine 3
  • Oncology 3
  • Epidemiology 2
  • Radiology, Nuclear Medicine and Imaging 2
Replace X.A. Zhuang with:
X.A. Zhuang China
Cecilia Hes Canada
Gabriel K. Armijo United States
Zhi-Xiang Xu China
Pirooz Poursoltan Australia
Qiulin Yao China
Norhafizah Hamzah Malaysia
Lirong Sun China
Rebecca Velickovic Australia
Makhzuna N. Khudoynazarova United States
X.A. Zhuang China View profile →
Citations per field, relative to Lanying Wang
Lanying Wang · 1×
Citations per year, relative to Lanying Wang
Lanying Wang · 1×

Countries citing papers authored by Lanying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lanying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanying Wang

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

All Works

3 of 3 papers shown
# Work Indexed citations
1 0
2 3
3 7

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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2026