Wanjuan Yang

7.7k total citations · 1 hit paper
7 papers, 2.8k citations indexed

About

Wanjuan Yang is a scholar working on Computational Theory and Mathematics, Oncology and Molecular Biology. According to data from OpenAlex, Wanjuan Yang has authored 7 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Wanjuan Yang's work include Computational Drug Discovery Methods (4 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Cells and Metastasis (2 papers). Wanjuan Yang is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Cells and Metastasis (2 papers). Wanjuan Yang collaborates with scholars based in United Kingdom, United States and Italy. Wanjuan Yang's co-authors include Mathew J. Garnett, Howard Lightfoot, Cyril H. Benes, Daniel A. Haber, Ultan McDermott, Patricia Greninger, Simon Forbes, P. Andrew Futreal, Nidhi Bindal and Michael R. Stratton and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and European Journal of Cancer.

In The Last Decade

Wanjuan Yang

7 papers receiving 2.8k 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.

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

2012 2.6k citations Wanjuan Yang, Jorge Soares et al. Nucleic Acids Research profile →

Peers

Wanjuan Yang

MB

CR

PRM

ONCOL

CTM

I. Richard Thompson Qatar

Elena J. Edelman United States

Paul Geeleher United States

Catharina Olsen Belgium

Patricia Greninger United States

Andrea Bild United States

Kimberly Stegmaier United States

Katarzyna Tomczak United States

Kimberly B. Dahlman United States

Claudia Cava Italy

I. Richard Thompson Qatar

Wanjuan Yang

1.9k ×1.0

MB

886 ×1.0

CR

899 ×1.0

PRM

675 ×0.9

ONCOL

494 ×0.9

CTM

Citations per year, relative to Wanjuan Yang Wanjuan Yang (= 1×) peers I. Richard Thompson

Countries citing papers authored by Wanjuan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Wanjuan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanjuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Wanjuan Yang. A scholar is included among the top collaborators of Wanjuan 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 Wanjuan Yang. Wanjuan 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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7 of 7 papers shown

1.

Yang, Chunying, et al.. (2022). Life history traits of the sharpbelly Hemiculter leucisculus in a dammed tributary of the middle Yangtze River, China. Fisheries Science. 88(6). 751–765. 1 indexed citations

2.

Dwane, Lisa, Fiona M. Behan, Emanuel Gonçalves, et al.. (2020). Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets. Nucleic Acids Research. 49(D1). D1365–D1372. 63 indexed citations

3.

Meer, Dieudonne van der, Syd Barthorpe, Wanjuan Yang, et al.. (2019). Abstract B069: Cell Model Passports—a hub for clinical, genetic and functional datasets of preclinical cancer models. Molecular Cancer Therapeutics. 18(12_Supplement). B069–B069. 1 indexed citations

4.

Meer, Dieudonne van der, Syd Barthorpe, Wanjuan Yang, et al.. (2018). Cell Model Passports—a hub for clinical, genetic and functional datasets of preclinical cancer models. Nucleic Acids Research. 47(D1). D923–D929. 110 indexed citations

5.

Yang, Wanjuan, Howard Lightfoot, Graham R. Bignell, et al.. (2016). Genomics of Drug Sensitivity in Cancer (GDSC): A resource for biomarker discovery in cancer cells. European Journal of Cancer. 69. S82–S82. 11 indexed citations

6.

Yang, Wanjuan, Jorge Soares, Patricia Greninger, et al.. (2013). Abstract 2206: Genomics of Drug Sensitivity in Cancer (GDSC): A resource for therapeutic biomarker discovery in cancer cells.. Cancer Research. 73(8_Supplement). 2206–2206. 7 indexed citations

7.

Yang, Wanjuan, Jorge Soares, Patricia Greninger, et al.. (2012). Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Research. 41(D1). D955–D961. 2597 indexed citations breakdown →

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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