Michael L. Key

804 total citations
8 papers, 646 citations indexed

About

Michael L. Key is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Michael L. Key has authored 8 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Virology. Recurrent topics in Michael L. Key's work include Immune Cell Function and Interaction (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cell Adhesion Molecules Research (2 papers). Michael L. Key is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cell Adhesion Molecules Research (2 papers). Michael L. Key collaborates with scholars based in United States and Sweden. Michael L. Key's co-authors include Dennis D. Taub, Dan L. Longo, Susan M. Turcovski‐Corrales, William J. Murphy, John R. Ortaldo, Gregory C. Gray, Barry R. Bochner, Chung Nan Chang, Herbert L. Heyneker and Robert Pyle and has published in prestigious journals such as The American Journal of Medicine, Methods in enzymology on CD-ROM/Methods in enzymology and Gene.

In The Last Decade

Michael L. Key

8 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael L. Key United States	7	331	263	132	113	106	8	646
Barbara Aufiero United States	12	336 1.0×	399 1.5×	187 1.4×	42 0.4×	218 2.1×	13	1.0k
Marcello Merola Italy	19	218 0.7×	298 1.1×	108 0.8×	40 0.4×	271 2.6×	44	812
Kiley R. Prilliman United States	15	698 2.1×	302 1.1×	69 0.5×	52 0.5×	72 0.7×	20	902
Tania Gourley United States	14	701 2.1×	360 1.4×	143 1.1×	31 0.3×	163 1.5×	16	1.1k
M. Cardinali United States	15	186 0.6×	323 1.2×	204 1.5×	172 1.5×	124 1.2×	25	783
Guangming Zhong United States	12	487 1.5×	230 0.9×	53 0.4×	44 0.4×	182 1.7×	18	830
Victoria L. Crotzer United States	11	486 1.5×	325 1.2×	90 0.7×	46 0.4×	261 2.5×	13	811
Douglas A. Dedera United States	12	142 0.4×	419 1.6×	121 0.9×	225 2.0×	69 0.7×	14	776
Laura Arribillaga Spain	14	516 1.6×	163 0.6×	175 1.3×	38 0.3×	188 1.8×	22	819
G Cavallo Italy	12	396 1.2×	167 0.6×	160 1.2×	22 0.2×	96 0.9×	45	652

Countries citing papers authored by Michael L. Key

Since Specialization

Citations

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

Fields of papers citing papers by Michael L. Key

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Key

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

All Works

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8 of 8 papers shown

Dawson, Harry, Gary D. Collins, Robert Pyle, Michael L. Key, & Dennis D. Taub. (2008). The Retinoic Acid Receptor-α mediates human T-cell activation and Th2 cytokine and chemokine production. BMC Immunology. 9(1). 16–16. 55 indexed citations

Taub, Dennis D., William B. Ershler, Andrew Artz, et al.. (2008). Immunity from Smallpox Vaccine Persists for Decades: A Longitudinal Study. The American Journal of Medicine. 121(12). 1058–1064. 109 indexed citations

Dawson, Harry, Gary D. Collins, Robert Pyle, et al.. (2006). Direct and indirect effects of retinoic acid on human Th2 cytokine and chemokine expression by human T lymphocytes. BMC Immunology. 7(1). 27–27. 96 indexed citations

Taub, Dennis D., Judy A. Mikovits, Gunnar Nilsson, et al.. (2004). Alterations in mast cell function and survival following in vitro infection with human immunodeficiency viruses-1 through CXCR4. Cellular Immunology. 230(2). 65–80. 18 indexed citations

Taub, Dennis D., Michael L. Key, Dan L. Longo, & William J. Murphy. (1997). Chemokine-induced human lymphocyte infiltration and engraftment in huPBL-SCID mice. Methods in enzymology on CD-ROM/Methods in enzymology. 287. 265–291. 4 indexed citations

Taub, Dennis D., John R. Ortaldo, Susan M. Turcovski‐Corrales, et al.. (1996). β Chemokines costimulate lymphocyte cytolysis, proliferation, and lymphokine production. Journal of Leukocyte Biology. 59(1). 81–89. 188 indexed citations

Taub, Dennis D., et al.. (1995). Chemotaxis of T lymphocytes on extracellular matrix proteins Analysis of the in vitro method to quantitate chemotaxis of human T cells. Journal of Immunological Methods. 184(2). 187–198. 39 indexed citations

Chang, Chung Nan, Michael L. Key, Barry R. Bochner, Herbert L. Heyneker, & Gregory C. Gray. (1987). High-level secretion of human growth hormone by Escherichia coli. Gene. 55(2-3). 189–196. 137 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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