Alison M. Karst

2.7k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Alison M. Karst is a scholar working on Reproductive Medicine, Cancer Research and Oncology. According to data from OpenAlex, Alison M. Karst has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Alison M. Karst's work include Ovarian cancer diagnosis and treatment (11 papers), Cancer Mechanisms and Therapy (3 papers) and Reproductive Biology and Fertility (3 papers). Alison M. Karst is often cited by papers focused on Ovarian cancer diagnosis and treatment (11 papers), Cancer Mechanisms and Therapy (3 papers) and Reproductive Biology and Fertility (3 papers). Alison M. Karst collaborates with scholars based in United States, Canada and Australia. Alison M. Karst's co-authors include Ronny Drapkin, Keren Levanon, Michelle S. Hirsch, Joyce F. Liu, Derek L. Dai, Ruth Perets, Jonathan G. Bijron, Barish B. Poole, Jin Yun Chen and Sunita R. Setlur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Cancer Cell.

In The Last Decade

Alison M. Karst

21 papers receiving 1.8k citations

Hit Papers

Transformation of the Fal... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alison M. Karst 927 800 578 407 215 21 1.8k
Keren Levanon 534 0.6× 639 0.8× 329 0.6× 313 0.8× 216 1.0× 31 1.3k
Sanaz Memarzadeh 1.1k 1.1× 509 0.6× 918 1.6× 424 1.0× 82 0.4× 60 2.3k
Trevor G. Shepherd 1.1k 1.2× 249 0.3× 644 1.1× 406 1.0× 88 0.4× 64 1.8k
Mary Ellen Urick 672 0.7× 339 0.4× 227 0.4× 352 0.9× 72 0.3× 22 1.3k
Adam D. Steg 1.2k 1.3× 197 0.2× 852 1.5× 431 1.1× 65 0.3× 44 1.8k
Kirsi Hämäläinen 468 0.5× 141 0.2× 294 0.5× 123 0.3× 115 0.5× 32 1.0k
Anda Vlad 989 1.1× 401 0.5× 629 1.1× 270 0.7× 32 0.1× 53 2.0k
Jung‐Joo Choi 830 0.9× 180 0.2× 316 0.5× 508 1.2× 23 0.1× 41 1.5k
Antonella Tomassetti 843 0.9× 167 0.2× 428 0.7× 202 0.5× 29 0.1× 52 1.5k

Countries citing papers authored by Alison M. Karst

Since Specialization
Citations

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

Fields of papers citing papers by Alison M. Karst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison M. Karst. 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 Alison M. Karst. The network helps show where Alison M. Karst may publish in the future.

Co-authorship network of co-authors of Alison M. Karst

This figure shows the co-authorship network connecting the top 25 collaborators of Alison M. Karst. A scholar is included among the top collaborators of Alison M. Karst 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 Alison M. Karst. Alison M. Karst 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
1.
Doberstein, Kai, et al.. (2018). Abstract PR01: Cyclin E: Targeting cell cycle dependencies in CCNE1-amplified tumors. Clinical Cancer Research. 24(15_Supplement). PR01–PR01. 1 indexed citations
2.
Au‐Yeung, George, Walid J. Azar, Thomas J. Mitchell, et al.. (2016). Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin-Dependent Kinase 2 and AKT Inhibition. Clinical Cancer Research. 23(7). 1862–1874. 100 indexed citations
3.
Novak, Marián, Jenny Lester, Alison M. Karst, et al.. (2015). Stathmin 1 and p16INK4A are sensitive adjunct biomarkers for serous tubal intraepithelial carcinoma. Gynecologic Oncology. 139(1). 104–111. 44 indexed citations
4.
Hua, Guoqiang, Xin Lv, Changjiu He, et al.. (2015). YAP induces high-grade serous carcinoma in fallopian tube secretory epithelial cells. Oncogene. 35(17). 2247–2265. 59 indexed citations
5.
Dunn, Gavin P., Hiu Wing Cheung, Pankaj K. Agarwalla, et al.. (2014). In vivo multiplexed interrogation of amplified genes identifies GAB2 as an ovarian cancer oncogene. Proceedings of the National Academy of Sciences. 111(3). 1102–1107. 33 indexed citations
6.
Davidowitz, Rachel A., Laura M. Selfors, Marcin Iwanicki, et al.. (2014). Mesenchymal gene program–expressing ovarian cancer spheroids exhibit enhanced mesothelial clearance. Journal of Clinical Investigation. 124(6). 2611–2625. 103 indexed citations
7.
Karst, Alison M., Natalie Vena, Azra H. Ligon, et al.. (2013). Cyclin E1 Deregulation Occurs Early in Secretory Cell Transformation to Promote Formation of Fallopian Tube–Derived High-Grade Serous Ovarian Cancers. Cancer Research. 74(4). 1141–1152. 132 indexed citations
8.
Perets, Ruth, Gregory A. Wyant, Katherine W. Muto, et al.. (2013). Transformation of the Fallopian Tube Secretory Epithelium Leads to High-Grade Serous Ovarian Cancer in Brca;Tp53;Pten Models. Cancer Cell. 24(6). 751–765. 402 indexed citations breakdown →
9.
Ren, Yin, Hiu Wing Cheung, Amit Agrawal, et al.. (2012). Targeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Oncogene ID4. Science Translational Medicine. 4(147). 147ra112–147ra112. 134 indexed citations
10.
Ren, Yin, Amit Agrawal, Jill P. Mesirov, et al.. (2012). Targeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Target ID4. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
11.
Karst, Alison M. & Ronny Drapkin. (2012). Primary culture and immortalization of human fallopian tube secretory epithelial cells. Nature Protocols. 7(9). 1755–1764. 109 indexed citations
12.
Karst, Alison M. & Ronny Drapkin. (2011). The new face of ovarian cancer modeling: better prospects for detection and treatment. F1000 Medicine Reports. 3. 22–22. 17 indexed citations
13.
Karst, Alison M., Keren Levanon, Sekhar Duraisamy, et al.. (2011). Stathmin 1, a marker of PI3K pathway activation and regulator of microtubule dynamics, is expressed in early pelvic serous carcinomas. Gynecologic Oncology. 123(1). 5–12. 71 indexed citations
14.
Karst, Alison M., Keren Levanon, & Ronny Drapkin. (2011). Modeling high-grade serous ovarian carcinogenesis from the fallopian tube. Proceedings of the National Academy of Sciences. 108(18). 7547–7552. 216 indexed citations
15.
Karst, Alison M. & Ronny Drapkin. (2009). Ovarian Cancer Pathogenesis: A Model in Evolution. Journal of Oncology. 2010. 1–13. 216 indexed citations
16.
Karst, Alison M., Kai Gao, Colleen C. Nelson, & Gang Li. (2008). Nuclear factor kappa B subunit p50 promotes melanoma angiogenesis by upregulating interleukin‐6 expression. International Journal of Cancer. 124(2). 494–501. 43 indexed citations
17.
Karst, Alison M., et al.. (2006). BH3-only proteins in tumorigenesis and malignant melanoma. Cellular and Molecular Life Sciences. 64(3). 318–330. 21 indexed citations
18.
Karst, Alison M., Derek L. Dai, Jin Q. Cheng, & Gang Li. (2006). Role of p53 Up-regulated Modulator of Apoptosis and Phosphorylated Akt in Melanoma Cell Growth, Apoptosis, and Patient Survival. Cancer Research. 66(18). 9221–9226. 33 indexed citations
19.
Karst, Alison M., Derek L. Dai, Magdalena Martinka, & Gang Li. (2004). PUMA expression is significantly reduced in human cutaneous melanomas. Oncogene. 24(6). 1111–1116. 69 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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