Kay S. Greisen

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Kay S. Greisen is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Kay S. Greisen has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Kay S. Greisen's work include CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Kay S. Greisen is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Kay S. Greisen collaborates with scholars based in United States and Switzerland. Kay S. Greisen's co-authors include Michael J. Loeffelholz, Diane U. Leong, Jane Lebkowski, M P Calos, Jeffrey Milbrandt, Joyce L. Hamlin, Robert B. DuBridge, Nicholas H. Heintz, J H Miller and Jane Clifford Azizkhan and has published in prestigious journals such as Nature, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

Kay S. Greisen

8 papers receiving 1.0k citations

Hit Papers

PCR primers and probes for the 16S rRNA gene of most spec... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay S. Greisen United States 8 522 243 219 190 187 8 1.1k
J. M. Donahue United States 19 360 0.7× 202 0.8× 197 0.9× 102 0.5× 267 1.4× 36 1.5k
Mary F. Jones United States 12 319 0.6× 500 2.1× 557 2.5× 59 0.3× 111 0.6× 18 1.4k
Mark Berninger United States 9 427 0.8× 343 1.4× 555 2.5× 155 0.8× 73 0.4× 11 1.3k
Vijaykumar Pancholi United States 7 330 0.6× 278 1.1× 194 0.9× 68 0.4× 47 0.3× 7 880
Laurence du Merle France 18 405 0.8× 464 1.9× 198 0.9× 252 1.3× 347 1.9× 30 1.4k
H. Blobel Germany 20 456 0.9× 542 2.2× 174 0.8× 125 0.7× 39 0.2× 159 1.5k
Peter Sillekens Netherlands 27 819 1.6× 333 1.4× 695 3.2× 93 0.5× 49 0.3× 44 2.0k
S. P. Snyder United States 18 140 0.3× 154 0.6× 181 0.8× 220 1.2× 151 0.8× 37 1.0k
Takayasu Watanabe Japan 20 337 0.6× 233 1.0× 279 1.3× 60 0.3× 73 0.4× 91 1.4k
Philip R. Wakeley United Kingdom 21 269 0.5× 413 1.7× 231 1.1× 137 0.7× 116 0.6× 33 1.6k

Countries citing papers authored by Kay S. Greisen

Since Specialization
Citations

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

Fields of papers citing papers by Kay S. Greisen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay S. Greisen

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

All Works

8 of 8 papers shown
1.
Greisen, Kay S., et al.. (1994). PCR primers and probes for the 16S rRNA gene of most species of pathogenic bacteria, including bacteria found in cerebrospinal fluid. Journal of Clinical Microbiology. 32(2). 335–351. 512 indexed citations breakdown →
2.
Lucey, Daniel R., Matthew J. Dolan, C W Moss, et al.. (1992). Relapsing Illness Due to Rochalimaea henselae in Immunocompetent Hosts: Implication for Therapy and New Epidemiological Associations. Clinical Infectious Diseases. 14(3). 683–688. 178 indexed citations
3.
Lebkowski, Jane, et al.. (1984). Transfected DNA is mutated in monkey, mouse, and human cells.. Molecular and Cellular Biology. 4(10). 1951–1960. 125 indexed citations
4.
Miller, J H, Jane Lebkowski, Kay S. Greisen, & M P Calos. (1984). Specificity of mutations induced in transfected DNA by mammalian cells.. The EMBO Journal. 3(13). 3117–3121. 92 indexed citations
5.
Lebkowski, Jane, et al.. (1984). Transfected DNA Is Mutated in Monkey, Mouse, and Human Cells. Molecular and Cellular Biology. 4(10). 1951–1960. 66 indexed citations
6.
Heintz, Nicholas H., Jeffrey Milbrandt, Kay S. Greisen, & Joyce L. Hamlin. (1983). Cloning of the initiation region of a mammalian chromosomal replicon. Nature. 302(5907). 439–441. 97 indexed citations
7.
Milbrandt, Jeffrey, Jane Clifford Azizkhan, Kay S. Greisen, & Joyce L. Hamlin. (1983). Organization of a Chinese Hamster Ovary Dihydrofolate Reductase Gene Identified by Phenotypic Rescue. Molecular and Cellular Biology. 3(7). 1266–1273. 19 indexed citations
8.
Milbrandt, Jeffrey, Jane Clifford Azizkhan, Kay S. Greisen, & Joyce L. Hamlin. (1983). Organization of a Chinese hamster ovary dihydrofolate reductase gene identified by phenotypic rescue.. Molecular and Cellular Biology. 3(7). 1266–1273. 48 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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