Patty T. Wai

1.2k total citations
11 papers, 430 citations indexed

About

Patty T. Wai is a scholar working on Oncology, Molecular Biology and Social Psychology. According to data from OpenAlex, Patty T. Wai has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 2 papers in Social Psychology. Recurrent topics in Patty T. Wai's work include Cancer Cells and Metastasis (3 papers), Neuroendocrine regulation and behavior (2 papers) and Cancer-related Molecular Pathways (2 papers). Patty T. Wai is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Neuroendocrine regulation and behavior (2 papers) and Cancer-related Molecular Pathways (2 papers). Patty T. Wai collaborates with scholars based in United Kingdom, United States and France. Patty T. Wai's co-authors include Rachael Natrajan, Paul H. Huang, Sarah Maguire, Beatrice A. Howard, Lukáš Krásný, Charlotte K.Y. Ng, Jorge S. Reis‐Filho, Britta Weigelt, Caterina Marchiò and Anna Sapino and has published in prestigious journals such as Science, Cancer Research and Current Biology.

In The Last Decade

Patty T. Wai

10 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patty T. Wai United Kingdom	8	258	112	77	45	41	11	430
Elizabeth A. Kingsley Australia	13	234 0.9×	131 1.2×	66 0.9×	130 2.9×	19 0.5×	17	482
Aggeliki Papadopoulou Greece	9	304 1.2×	167 1.5×	105 1.4×	32 0.7×	16 0.4×	14	618
P Sedlaczek Poland	13	172 0.7×	133 1.2×	65 0.8×	21 0.5×	22 0.5×	25	486
Sara Franceschi Italy	14	236 0.9×	102 0.9×	119 1.5×	105 2.3×	6 0.1×	35	521
Andy Chen United States	16	389 1.5×	201 1.8×	94 1.2×	38 0.8×	10 0.2×	41	665
SP Langdon United Kingdom	9	233 0.9×	180 1.6×	58 0.8×	45 1.0×	4 0.1×	13	471
Rhoanne C. McPherson United Kingdom	10	289 1.1×	200 1.8×	70 0.9×	55 1.2×	5 0.1×	15	683
Priscila Campioni Rodrigues Brazil	11	213 0.8×	152 1.4×	120 1.6×	41 0.9×	6 0.1×	18	435
Soraya Adris Argentina	7	151 0.6×	202 1.8×	71 0.9×	26 0.6×	4 0.1×	10	520
Marie-Pierre Leibovitch France	17	598 2.3×	92 0.8×	80 1.0×	20 0.4×	9 0.2×	34	731

Countries citing papers authored by Patty T. Wai

Since Specialization

Citations

This map shows the geographic impact of Patty T. Wai'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 Patty T. Wai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patty T. Wai more than expected).

Fields of papers citing papers by Patty T. Wai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patty T. Wai. 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 Patty T. Wai. The network helps show where Patty T. Wai may publish in the future.

Co-authorship network of co-authors of Patty T. Wai

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

All Works

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11 of 11 papers shown

1.

Wai, Patty T., et al.. (2025). Dominance rank inference in mice via chemosensation. Current Biology. 35(11). 2746–2751.e3.

2.

Ammari, Rachida, et al.. (2023). Hormone-mediated neural remodeling orchestrates parenting onset during pregnancy. Science. 382(6666). 76–81. 43 indexed citations

3.

Naidoo, Kuban D., Patty T. Wai, Sarah Maguire, et al.. (2018). Evaluation of CDK12 Protein Expression as a Potential Novel Biomarker for DNA Damage Response–Targeted Therapies in Breast Cancer. Molecular Cancer Therapeutics. 17(1). 306–315. 54 indexed citations

4.

Krásný, Lukáš, Philip Bland, Naoko Kogata, et al.. (2018). SWATH mass spectrometry as a tool for quantitative profiling of the matrisome. Journal of Proteomics. 189. 11–22. 69 indexed citations

5.

Wai, Patty T., Philip Bland, Saira Khalique, et al.. (2016). Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures. Journal of Visualized Experiments. 15 indexed citations

6.

Maguire, Sarah, Barrie Peck, Patty T. Wai, et al.. (2016). Three‐dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model. The Journal of Pathology. 240(3). 315–328. 31 indexed citations

7.

Krásný, Lukáš, Angela Paul, Patty T. Wai, et al.. (2016). Comparative proteomic assessment of matrisome enrichment methodologies. Biochemical Journal. 473(21). 3979–3995. 41 indexed citations

8.

Wai, Patty T., Philip Bland, Saira Khalique, et al.. (2016). Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures. Journal of Visualized Experiments. 2 indexed citations

9.

Todd, Jason R., Martina Finetti, Frank McCarthy, et al.. (2016). Dual Targeting of PDGFRα and FGFR1 Displays Synergistic Efficacy in Malignant Rhabdoid Tumors. Cell Reports. 17(5). 1265–1275. 40 indexed citations

10.

Maguire, Sarah, Patty T. Wai, Caterina Marchiò, et al.. (2015). Abstract A2-02: SF3B1 mutations constitute a novel therapeutic target in breast cancer. Cancer Research. 75(22_Supplement_1). A2–2. 1 indexed citations

11.

Maguire, Sarah, Patty T. Wai, Caterina Marchiò, et al.. (2014). SF3B1 mutations constitute a novel therapeutic target in breast cancer. The Journal of Pathology. 235(4). 571–580. 134 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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