Karen E. Weis

1.1k total citations
19 papers, 907 citations indexed

About

Karen E. Weis is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Karen E. Weis has authored 19 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Karen E. Weis's work include Estrogen and related hormone effects (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Karen E. Weis is often cited by papers focused on Estrogen and related hormone effects (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Karen E. Weis collaborates with scholars based in United States, Japan and Australia. Karen E. Weis's co-authors include Benita S. Katzenellenbogen, Jun Sun, John A. Katzenellenbogen, W. Lee Kraus, Eileen M. McInerney, Sietse Mosselman, Kirk Ekena, Tracy Ediger, Inho Choi and Paolo Martini and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Endocrinology.

In The Last Decade

Karen E. Weis

17 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen E. Weis United States 10 660 323 146 130 119 19 907
Lidia Albanito Italy 8 653 1.0× 476 1.5× 217 1.5× 71 0.5× 148 1.2× 8 961
Tomas Barkhem Sweden 9 636 1.0× 411 1.3× 197 1.3× 90 0.7× 203 1.7× 10 957
Brad Saville United States 7 618 0.9× 488 1.5× 194 1.3× 226 1.7× 66 0.6× 7 1.0k
Marco Pupo Italy 10 463 0.7× 330 1.0× 164 1.1× 148 1.1× 93 0.8× 10 782
John D. Obourn United States 10 489 0.7× 372 1.2× 174 1.2× 113 0.9× 88 0.7× 12 710
Raegan O’Lone United States 11 319 0.5× 336 1.0× 101 0.7× 125 1.0× 103 0.9× 16 824
Catherine S. Murphy United States 8 540 0.8× 342 1.1× 213 1.5× 72 0.6× 109 0.9× 9 856
Debie J. Hoivik United States 14 387 0.6× 530 1.6× 252 1.7× 170 1.3× 60 0.5× 25 1.1k
Daniela Montanaro Italy 9 389 0.6× 344 1.1× 168 1.2× 36 0.3× 153 1.3× 10 856
Stephen Safe United States 12 523 0.8× 438 1.4× 174 1.2× 441 3.4× 61 0.5× 13 1.2k

Countries citing papers authored by Karen E. Weis

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Weis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. Weis. 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 Karen E. Weis. The network helps show where Karen E. Weis may publish in the future.

Co-authorship network of co-authors of Karen E. Weis

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

All Works

19 of 19 papers shown
1.
Weis, Karen E., et al.. (2024). Glycoprotein hormone subunit alpha 2 (GPHA2): A pituitary stem cell-expressed gene associated with NOTCH2 signaling. Molecular and Cellular Endocrinology. 586. 112163–112163. 2 indexed citations
2.
3.
Weis, Karen E., et al.. (2024). Generation of the First Transgenic Line of the Iconic Coral Reef Fish Amphiprion ocellaris. Marine Biotechnology. 26(5). 1067–1078.
4.
Laws, Mary J., Daryl D. Meling, Lindsay M. Thompson, et al.. (2023). Prenatal and postnatal exposure to polychlorinated biphenyls alter follicle numbers, gene expression, and a proliferation marker in the rat ovary. Reproductive Toxicology. 120. 108427–108427. 6 indexed citations
5.
Weis, Karen E., et al.. (2023). Female-specific pituitary gonadotrope dysregulation in mice with chronic focal epilepsy. Experimental Neurology. 364. 114389–114389. 2 indexed citations
6.
7.
Weis, Karen E., et al.. (2023). Characterization of Somatotrope Cell Expansion in Response to GHRH in the Neonatal Mouse Pituitary. Endocrinology. 164(10). 5 indexed citations
8.
Weis, Karen E., et al.. (2021). Prenatal exposure to the phthalate DEHP impacts reproduction-related gene expression in the pituitary. Reproductive Toxicology. 108. 18–27. 16 indexed citations
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10.
Weis, Karen E. & Lori T. Raetzman. (2019). Genistein inhibits proliferation and induces senescence in neonatal mouse pituitary gland explant cultures. Toxicology. 427. 152306–152306. 13 indexed citations
11.
Kaylan, Kerim B., et al.. (2018). Cellular fate decisions in the developing female anteroventral periventricular nucleus are regulated by canonical Notch signaling. Developmental Biology. 442(1). 87–100. 2 indexed citations
12.
Weis, Karen E. & Lori T. Raetzman. (2016). Isoliquiritigenin exhibits anti-proliferative properties in the pituitary independent of estrogen receptor function. Toxicology and Applied Pharmacology. 313. 204–214. 7 indexed citations
13.
Weis, Karen E., et al.. (2016). Icam5 Expression Exhibits Sex Differences in the Neonatal Pituitary and Is Regulated by Estradiol and Bisphenol A. Endocrinology. 157(4). 1408–1420. 21 indexed citations
14.
Katzenellenbogen, Benita S., Inho Choi, Régis Delage-Mourroux, et al.. (2000). Molecular mechanisms of estrogen action: selective ligands and receptor pharmacology. The Journal of Steroid Biochemistry and Molecular Biology. 74(5). 279–285. 232 indexed citations
15.
McInerney, Eileen M., Karen E. Weis, Jun Sun, Sietse Mosselman, & Benita S. Katzenellenbogen. (1998). Transcription Activation by the Human Estrogen Receptor Subtypeβ (ERβ) Studied with ERβ and ERα Receptor Chimeras1. Endocrinology. 139(11). 4513–4522. 229 indexed citations
16.
Ekena, Kirk, Karen E. Weis, John A. Katzenellenbogen, & Benita S. Katzenellenbogen. (1997). Different Residues of the Human Estrogen Receptor Are Involved in the Recognition of Structurally Diverse Estrogens and Antiestrogens. Journal of Biological Chemistry. 272(8). 5069–5075. 64 indexed citations
17.
Kraus, W. Lee, Karen E. Weis, & Benita S. Katzenellenbogen. (1997). Determinants for the repression of estrogen receptor transcriptional activity by ligand-occupied progestin receptors. The Journal of Steroid Biochemistry and Molecular Biology. 63(4-6). 175–188. 31 indexed citations
18.
Ekena, Kirk, Karen E. Weis, John A. Katzenellenbogen, & Benita S. Katzenellenbogen. (1996). Identification of Amino Acids in the Hormone Binding Domain of the Human Estrogen Receptor Important in Estrogen Binding. Journal of Biological Chemistry. 271(33). 20053–20059. 96 indexed citations
19.
Kraus, W. Lee, Karen E. Weis, & Benita S. Katzenellenbogen. (1995). Inhibitory Cross-Talk between Steroid Hormone Receptors: Differential Targeting of Estrogen Receptor in the Repression of Its Transcriptional Activity by Agonist- and Antagonist-Occupied Progestin Receptors. Molecular and Cellular Biology. 15(4). 1847–1857. 162 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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