Kay Rasmussen

657 total citations
9 papers, 566 citations indexed

About

Kay Rasmussen is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Kay Rasmussen has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 2 papers in Animal Science and Zoology. Recurrent topics in Kay Rasmussen's work include Estrogen and related hormone effects (4 papers), TGF-β signaling in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Kay Rasmussen is often cited by papers focused on Estrogen and related hormone effects (4 papers), TGF-β signaling in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Kay Rasmussen collaborates with scholars based in United States, Germany and Canada. Kay Rasmussen's co-authors include Malayannan Subramaniam, Thomas C. Spelsberg, B. Lawrence Riggs, Merry Jo Oursler, Steven A. Harris, T. C. Spelsberg, Douglas S. Colvard, Philip E. Keeting, David G. Monroe and Glenda L. Evans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kay Rasmussen

9 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay Rasmussen United States 9 402 191 96 56 42 9 566
Benjamin H. Mullin Australia 18 399 1.0× 180 0.9× 156 1.6× 43 0.8× 42 1.0× 40 654
Anne-Marie Hedge United States 13 446 1.1× 324 1.7× 110 1.1× 14 0.3× 7 0.2× 22 816
James Farris United States 14 285 0.7× 87 0.5× 90 0.9× 28 0.5× 56 1.3× 21 520
Jeong Soo Hong South Korea 9 226 0.6× 65 0.3× 60 0.6× 46 0.8× 10 0.2× 19 467
Sachiko Matsuura Japan 10 265 0.7× 45 0.2× 123 1.3× 30 0.5× 6 0.1× 20 425
A. T. Holder United Kingdom 15 228 0.6× 160 0.8× 19 0.2× 52 0.9× 47 1.1× 26 566
Jennifer A. Kennell United States 11 623 1.5× 112 0.6× 56 0.6× 107 1.9× 6 0.1× 13 890
Silvia Pulido United States 8 254 0.6× 92 0.5× 59 0.6× 24 0.4× 127 3.0× 12 547
Akio Maki Japan 8 177 0.4× 86 0.5× 42 0.4× 31 0.6× 15 0.4× 25 352

Countries citing papers authored by Kay Rasmussen

Since Specialization
Citations

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

Fields of papers citing papers by Kay Rasmussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Rasmussen. 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 Kay Rasmussen. The network helps show where Kay Rasmussen may publish in the future.

Co-authorship network of co-authors of Kay Rasmussen

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

All Works

9 of 9 papers shown
1.
Subramaniam, Malayannan, Steven A. Johnsen, David G. Monroe, et al.. (2005). TIEG1 Null Mouse-Derived Osteoblasts Are Defective in Mineralization and in Support of Osteoclast Differentiation In Vitro. Molecular and Cellular Biology. 25(3). 1191–1199. 99 indexed citations
2.
Subramaniam, Malayannan, Merry Jo Oursler, Kay Rasmussen, B. Lawrence Riggs, & T. C. Spelsberg. (1995). TGF‐β regulation of nuclear proto‐oncogenes and TGF‐β gene expression in normal human osteoblast‐like cells. Journal of Cellular Biochemistry. 57(1). 52–61. 27 indexed citations
3.
Subramaniam, Malayannan, Steven A. Harris, Merry Jo Oursler, et al.. (1995). Identification of a novel TGF-β-regulated gene encoding a putative zinc finger protein in human osteoblasts. Nucleic Acids Research. 23(23). 4907–4912. 228 indexed citations
4.
Subramaniam, Malayannan, Steven A. Harris, Kay Rasmussen, & T. C. Spelsberg. (1993). Rapid down-regulation of c-jun protooncogene transcription by progesterone in the avian oviduct.. Endocrinology. 133(5). 2049–2054. 20 indexed citations
5.
Subramaniam, Malayannan, Douglas S. Colvard, Philip E. Keeting, et al.. (1992). Glucocorticoid regulation of alkaline phosphatase, osteocalcin, and proto‐oncogenes in normal human osteoblast‐like cells. Journal of Cellular Biochemistry. 50(4). 411–424. 83 indexed citations
6.
Subramaniam, Malayannan, et al.. (1991). Rapid induction of the c-jun protooncogene in the avian oviduct by the antiestrogen tamoxifen.. Proceedings of the National Academy of Sciences. 88(3). 829–833. 23 indexed citations
7.
Subramaniam, Malayannan, et al.. (1990). RAPID INHIBITION OF THE C-JUN PROTO-ONCOGENE EXPRESSION IN AVIAN OVIDUCT BY ESTROGEN. Endocrinology. 127(5). 2595–2597. 26 indexed citations
8.
Rasmussen, Kay, et al.. (1986). Estrogen Regulation of the Biological Activity of the Avian Oviduct Progesterone Receptor and Its Ability to Induce Avidin*. Endocrinology. 119(3). 1118–1125. 23 indexed citations
9.

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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