Sunny Z. Wu

4.7k total citations · 1 hit paper
21 papers, 691 citations indexed

About

Sunny Z. Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sunny Z. Wu has authored 21 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Sunny Z. Wu's work include Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Sunny Z. Wu is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Sunny Z. Wu collaborates with scholars based in Australia, United Kingdom and New Zealand. Sunny Z. Wu's co-authors include Angela C Webster, William Whiteley, Philip Masson, Patrick J. Kelly, David Gillespie, Daniel Parker, Alexander Swarbrick, Daniel Roden, Fiona Duthie and Ghamdan Al‐Eryani and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cancer Research.

In The Last Decade

Sunny Z. Wu

20 papers receiving 684 citations

Hit Papers

Spatial deconvolution of HER2-positive breast cancer deli... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions
    2021 205 citations Alma Andersson, Ludvig Larsson et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunny Z. Wu Australia 9 228 222 130 103 90 21 691
Mark J. O’Connor United Kingdom 14 231 1.0× 92 0.4× 50 0.4× 43 0.4× 300 3.3× 35 825
Nicolas Bouvier France 15 153 0.7× 167 0.8× 62 0.5× 18 0.2× 76 0.8× 54 874
Woubet Tefera Kassahun Germany 14 113 0.5× 57 0.3× 37 0.3× 78 0.8× 202 2.2× 34 967
Jennifer Barraclough Australia 14 422 1.9× 68 0.3× 17 0.1× 60 0.6× 69 0.8× 29 816
François Bayle France 18 108 0.5× 86 0.4× 67 0.5× 15 0.1× 81 0.9× 47 1.0k
Hyunjin Ryu South Korea 15 157 0.7× 228 1.0× 17 0.1× 17 0.2× 30 0.3× 58 704
You‐Fan Peng China 15 158 0.7× 23 0.1× 35 0.3× 63 0.6× 146 1.6× 46 558
Gbenga Kazeem United Kingdom 13 95 0.4× 41 0.2× 58 0.4× 19 0.2× 48 0.5× 32 759
J. E. Moulder United States 14 118 0.5× 100 0.5× 30 0.2× 42 0.4× 41 0.5× 18 737

Countries citing papers authored by Sunny Z. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sunny Z. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunny Z. Wu. 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 Sunny Z. Wu. The network helps show where Sunny Z. Wu may publish in the future.

Co-authorship network of co-authors of Sunny Z. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sunny Z. Wu. A scholar is included among the top collaborators of Sunny Z. Wu 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 Sunny Z. Wu. Sunny Z. Wu 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
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Roden, Daniel, Kate Harvey, Ghamdan Al‐Eryani, et al.. (2024). Abstract PO5-01-09: Exploring cellular heterogeneity of localised breast cancers. Cancer Research. 84(9_Supplement). PO5–1. 1 indexed citations
4.
Vail, Mary E., Rae H. Farnsworth, Linda Hii, et al.. (2023). Inhibition of EphA3 Expression in Tumour Stromal Cells Suppresses Tumour Growth and Progression. Cancers. 15(18). 4646–4646. 8 indexed citations
5.
Tran, Khoa, Venkateswar Addala, Rebecca L. Johnston, et al.. (2023). Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. Nature Communications. 14(1). 5758–5758. 22 indexed citations
6.
Bartoniček, Nenad, Jessica Yang, Sunny Z. Wu, et al.. (2022). DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response. Nature Communications. 13(1). 6539–6539. 8 indexed citations
7.
Wu, Sunny Z., Daniel Roden, Ghamdan Al‐Eryani, et al.. (2021). An integrated multi-omic cellular atlas of human breast cancers.. Cancer Research. 81(13). 1 indexed citations
8.
Wu, Sunny Z., Daniel Roden, Ghamdan Al‐Eryani, et al.. (2021). Abstract 129: An integrated multi-omic cellular atlas of human breast cancers. Cancer Research. 81(13_Supplement). 129–129. 2 indexed citations
9.
Holliday, Holly, Daniel Roden, Simon Junankar, et al.. (2021). Inhibitor of Differentiation 4 (ID4) represses mammary myoepithelial differentiation via inhibition of HEB. iScience. 24(2). 102072–102072. 10 indexed citations
10.
Wu, Sunny Z. & Alexander Swarbrick. (2021). Single‐cell advances in stromal‐leukocyte interactions in cancer. Immunological Reviews. 302(1). 286–298. 13 indexed citations
11.
Andersson, Alma, Ludvig Larsson, Linnea Stenbeck, et al.. (2021). Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions. Nature Communications. 12(1). 6012–6012. 205 indexed citations breakdown →
12.
Zeitz, C., et al.. (2020). Cardiologists appropriately exclude resuscitated out‐of‐hospital cardiac arrests from emergency coronary angiography. Journal of the American College of Emergency Physicians Open. 1(6). 1177–1184. 1 indexed citations
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Nikolić, Iva, Benjamin Elsworth, Sunny Z. Wu, et al.. (2017). Discovering cancer vulnerabilities using high-throughput micro-RNA screening. Nucleic Acids Research. 45(22). 12657–12670. 11 indexed citations
15.
O’Lone, Emma, Michael H. Connors, Philip Masson, et al.. (2016). Cognition in People With End-Stage Kidney Disease Treated With Hemodialysis: A Systematic Review and Meta-analysis. American Journal of Kidney Diseases. 67(6). 925–935. 179 indexed citations
16.
Safarchi, Azadeh, Sophie Octavia, Sunny Z. Wu, et al.. (2016). Genomic dissection of Australian Bordetella pertussis isolates from the 2008–2012 epidemic. Journal of Infection. 72(4). 468–477. 31 indexed citations
17.
Berger, Israel, Sunny Z. Wu, Philip Masson, et al.. (2016). Cognition in chronic kidney disease: a systematic review and meta-analysis. BMC Medicine. 14(1). 206–206. 151 indexed citations
18.
Masson, Philip, Sunny Z. Wu, Fiona Duthie, et al.. (2016). MP678COGNITION IN KIDNEY TRANSPLANT RECIPIENTS: A SYSTEMATIC REVIEW AND META-ANALYSIS. Nephrology Dialysis Transplantation. 31(suppl_1). i565–i565. 1 indexed citations
19.
Masson, Philip, Sunny Z. Wu, Fiona Duthie, et al.. (2014). Cognition in Kidney Transplant Recipients: A Systematic Review and Meta-Analysis. Transplantation. 98. 845–846. 3 indexed citations
20.
Masson, Philip, Sunny Z. Wu, Fiona Duthie, et al.. (2014). Cognition in Kidney Transplant Recipients: A Systematic Review and Meta-Analysis.. Transplantation. 98. 845–846. 2 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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