Karen L. Singer

885 total citations
7 papers, 527 citations indexed

About

Karen L. Singer is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Karen L. Singer has authored 7 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Immunology. Recurrent topics in Karen L. Singer's work include Barrier Structure and Function Studies (3 papers), Cancer-related molecular mechanisms research (2 papers) and Connexins and lens biology (2 papers). Karen L. Singer is often cited by papers focused on Barrier Structure and Function Studies (3 papers), Cancer-related molecular mechanisms research (2 papers) and Connexins and lens biology (2 papers). Karen L. Singer collaborates with scholars based in United States and Canada. Karen L. Singer's co-authors include Dale Yuzuki, Bruce R. Stevenson, Gordon Parry, John D. Stubbs, Anh Bui, U. Srinivasan, Christine Lekutis, Paul L. Woo, Gary L. Firestone and Keith E. Mostov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Biology of the Cell.

In The Last Decade

Karen L. Singer

7 papers receiving 510 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 L. Singer United States 7 274 166 107 77 73 7 527
Severine Martin‐Lannerée France 13 325 1.2× 187 1.1× 59 0.6× 51 0.7× 59 0.8× 21 662
Sarah Schouteden Belgium 9 125 0.5× 157 0.9× 51 0.5× 39 0.5× 106 1.5× 14 399
Charles Cant Germany 7 163 0.6× 583 3.5× 46 0.4× 157 2.0× 32 0.4× 8 688
Colette Kristofic Switzerland 9 241 0.9× 324 2.0× 24 0.2× 97 1.3× 43 0.6× 9 660
Monica Fabbri Italy 12 248 0.9× 259 1.6× 26 0.2× 34 0.4× 44 0.6× 13 607
Niels Heemskerk Netherlands 10 254 0.9× 184 1.1× 41 0.4× 46 0.6× 23 0.3× 14 520
Hongkang Xi United States 15 212 0.8× 525 3.2× 42 0.4× 29 0.4× 55 0.8× 20 724
Ilse Timmerman Netherlands 11 271 1.0× 83 0.5× 35 0.3× 43 0.6× 22 0.3× 20 492
Ina Rohwedder Germany 11 264 1.0× 199 1.2× 25 0.2× 41 0.5× 46 0.6× 19 535
Peter Weiser United States 14 129 0.5× 343 2.1× 29 0.3× 18 0.2× 84 1.2× 28 616

Countries citing papers authored by Karen L. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Karen L. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen L. Singer

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

All Works

7 of 7 papers shown
1.
Singer, Karen L. & Keith E. Mostov. (1998). Dimerization of the Polymeric Immunoglobulin Receptor Controls Its Transcytotic Trafficking. Molecular Biology of the Cell. 9(4). 901–915. 42 indexed citations
2.
Woo, Paul L., H. Helen, Karen L. Singer, & Gary L. Firestone. (1996). Antagonistic Regulation of Tight Junction Dynamics by Glucocorticoids and Transforming Growth Factor-βin Mouse Mammary Epithelial Cells. Journal of Biological Chemistry. 271(1). 404–412. 43 indexed citations
3.
Mostov, Keith E., Yoram Altschuler, Steven J. Chapin, et al.. (1995). Regulation of Protein Traffic in Polarized Epithelial Cells: The Polymeric Immunoglobulin Receptor Model. Cold Spring Harbor Symposia on Quantitative Biology. 60(0). 775–781. 38 indexed citations
4.
Howarth, Andrew G., Karen L. Singer, & Bruce R. Stevenson. (1994). Analysis of the distribution and phosphorylation state of ZO-1 in MDCK and nonepithelial cells. The Journal of Membrane Biology. 137(3). 261–70. 42 indexed citations
5.
Singer, Karen L., Bruce R. Stevenson, Paul L. Woo, & Gary L. Firestone. (1994). Relationship of serine/threonine phosphorylation/dephosphorylation signaling to glucocorticoid regulation of tight junction permeability and ZO-1 distribution in nontransformed mammary epithelial cells.. Journal of Biological Chemistry. 269(23). 16108–16115. 92 indexed citations
6.
Stubbs, John D., Christine Lekutis, Karen L. Singer, et al.. (1990). cDNA cloning of a mouse mammary epithelial cell surface protein reveals the existence of epidermal growth factor-like domains linked to factor VIII-like sequences.. Proceedings of the National Academy of Sciences. 87(21). 8417–8421. 262 indexed citations
7.
Ford, Larry C., et al.. (1982). Anti-microbial activity of amniotic fluid β-lysin and the influence of zinc ion. Journal of Obstetrics and Gynaecology. 3(1). 1–5. 8 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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