Suzanne D. Westfall

740 total citations
12 papers, 607 citations indexed

About

Suzanne D. Westfall is a scholar working on Molecular Biology, Reproductive Medicine and Surgery. According to data from OpenAlex, Suzanne D. Westfall has authored 12 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Reproductive Medicine and 3 papers in Surgery. Recurrent topics in Suzanne D. Westfall's work include Cell death mechanisms and regulation (3 papers), Pluripotent Stem Cells Research (3 papers) and Renal and related cancers (3 papers). Suzanne D. Westfall is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Pluripotent Stem Cells Research (3 papers) and Renal and related cancers (3 papers). Suzanne D. Westfall collaborates with scholars based in United States and India. Suzanne D. Westfall's co-authors include Michael K. Skinner, Toshihiko Ezashi, Padmalaya Das, R. Michael Roberts, John S. Davis, Laura C. Schulz, Kimberly A. Livingston, M. Sharon Stack, Eric Nilsson and Dong-bao Chen and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and Biology of Reproduction.

In The Last Decade

Suzanne D. Westfall

12 papers receiving 596 citations

Peers

Suzanne D. Westfall
Lisa K. Mullany United States
Suzanne B.R. Jacobs United States
Ke Hu China
Xiang Ma China
María May Argentina
Lisa K. Mullany United States
Suzanne D. Westfall
Citations per year, relative to Suzanne D. Westfall Suzanne D. Westfall (= 1×) peers Lisa K. Mullany

Countries citing papers authored by Suzanne D. Westfall

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne D. Westfall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne D. Westfall. 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 Suzanne D. Westfall. The network helps show where Suzanne D. Westfall may publish in the future.

Co-authorship network of co-authors of Suzanne D. Westfall

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

All Works

12 of 12 papers shown
1.
Westfall, Suzanne D., et al.. (2015). Lysophosphatidic Acid Initiates Epithelial to Mesenchymal Transition and Induces β-Catenin-mediated Transcription in Epithelial Ovarian Carcinoma. Journal of Biological Chemistry. 290(36). 22143–22154. 50 indexed citations
2.
Barbolina, Maria V., Suzanne D. Westfall, Yueying Liu, et al.. (2009). Microenvironmental Regulation of Ovarian Cancer Metastasis. Cancer treatment and research. 149. 319–334. 42 indexed citations
3.
Westfall, Suzanne D., Shrikesh Sachdev, Padmalaya Das, et al.. (2008). Identification of Oxygen-Sensitive Transcriptional Programs in Human Embryonic Stem Cells. Stem Cells and Development. 17(5). 869–882. 99 indexed citations
4.
Westfall, Suzanne D., Eric Nilsson, & Michael K. Skinner. (2007). Role of Triptolide as an Adjunct Chemotherapy for Ovarian Cancer. Chemotherapy. 54(1). 67–76. 34 indexed citations
5.
Schulz, Laura C., Toshihiko Ezashi, Padmalaya Das, et al.. (2007). Human Embryonic Stem Cells as Models for Trophoblast Differentiation. Placenta. 29. 10–16. 63 indexed citations
6.
Das, Padmalaya, Toshihiko Ezashi, Laura C. Schulz, et al.. (2007). Effects of FGF2 and oxygen in the BMP4-driven differentiation of trophoblast from human embryonic stem cells. Stem Cell Research. 1(1). 61–74. 75 indexed citations
7.
Westfall, Suzanne D. & Michael K. Skinner. (2005). Inhibition of phosphatidylinositol 3-kinase sensitizes ovarian cancer cells to carboplatin and allows adjunct chemotherapy treatment. Molecular Cancer Therapeutics. 4(11). 1764–1771. 52 indexed citations
8.
Singh, Vinod, Vladimir Y. Butnev, Suzanne D. Westfall, et al.. (2003). Inositol phosphate stimulation by LH requires the entire α Asn56 oligosaccharide. Molecular and Cellular Endocrinology. 199(1-2). 73–86. 10 indexed citations
9.
Uzumcu, Mehmet, et al.. (2002). Embryonic Testis Cord Formation and Mesonephric Cell Migration Requires the Phosphotidylinositol 3-Kinase Signaling Pathway1. Biology of Reproduction. 67(6). 1927–1935. 34 indexed citations
10.
Nilsson, Eric, et al.. (2001). An in vivo mouse reporter gene (human secreted alkaline phosphatase) model to monitor ovarian tumor growth and response to therapeutics. Cancer Chemotherapy and Pharmacology. 49(2). 93–100. 30 indexed citations
11.
Westfall, Suzanne D., et al.. (2000). Putative Role of the Phosphatidylinositol 3-Kinaseâ�?��??Akt Signaling Pathway in the Survival of Granulosa Cells. Endocrine. 12(3). 315–321. 45 indexed citations
12.
Chen, Dong-bao, et al.. (1998). Prostaglandin FStimulates the Raf/MEK1/Mitogen-Activated Protein Kinase Signaling Cascade in Bovine Luteal Cells1. Endocrinology. 139(9). 3876–3885. 73 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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