Connie W. Woods

863 total citations
9 papers, 742 citations indexed

About

Connie W. Woods is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Connie W. Woods has authored 9 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Connie W. Woods's work include T-cell and B-cell Immunology (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). Connie W. Woods is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). Connie W. Woods collaborates with scholars based in United States. Connie W. Woods's co-authors include Ann L. Akeson, Thomas R. Sutter, Vernon F. Kalb, Chitta R. Dey, Joyce E. Loper, M Eghbali, R Tomek, Brijesh Bhambi, Thomas G. Turi and Laura Mosher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Lipid Research.

In The Last Decade

Connie W. Woods

9 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connie W. Woods United States	9	358	134	128	113	93	9	742
Ken Karasawa Japan	18	413 1.2×	213 1.6×	119 0.9×	61 0.5×	48 0.5×	49	947
Lisa‐Marie Holbrook United Kingdom	14	265 0.7×	72 0.5×	162 1.3×	131 1.2×	51 0.5×	19	831
Ubaldo Soto Germany	22	738 2.1×	78 0.6×	255 2.0×	82 0.7×	54 0.6×	28	1.3k
Takeshi Ichikawa Japan	19	374 1.0×	206 1.5×	48 0.4×	29 0.3×	83 0.9×	75	1.4k
Kazuo Tsukidate Japan	12	247 0.7×	87 0.6×	113 0.9×	12 0.1×	42 0.5×	32	687
Eikai Kyo Japan	20	456 1.3×	118 0.9×	177 1.4×	17 0.2×	119 1.3×	28	1.2k
Lotte F. Hansen United States	11	326 0.9×	155 1.2×	615 4.8×	64 0.6×	23 0.2×	13	1.2k
Emmanuelle Rollet‐Labelle Canada	18	544 1.5×	42 0.3×	386 3.0×	36 0.3×	29 0.3×	27	1.0k

Countries citing papers authored by Connie W. Woods

Since Specialization

Citations

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

Fields of papers citing papers by Connie W. Woods

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie W. Woods. 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 Connie W. Woods. The network helps show where Connie W. Woods may publish in the future.

Co-authorship network of co-authors of Connie W. Woods

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

All Works

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9 of 9 papers shown

Akeson, Ann L., Connie W. Woods, Lily C. Hsieh, et al.. (1996). AF12198, a Novel Low Molecular Weight Antagonist, Selectively Binds the Human Type I Interleukin (IL)-1 Receptor and Blocks in Vivo Responses to IL-1. Journal of Biological Chemistry. 271(48). 30517–30523. 67 indexed citations

Akeson, Ann L. & Connie W. Woods. (1993). A fluorometric assay for the quantitation of cell adherence to endothelial cells. Journal of Immunological Methods. 163(2). 181–185. 121 indexed citations

Akeson, Ann L., et al.. (1992). Human aortic endothelial cells express the type I but not the type II receptor for interleukin‐1 (IL‐1). Journal of Cellular Physiology. 153(3). 583–588. 26 indexed citations

Akeson, Ann L., Connie W. Woods, Laura Mosher, Craig E. Thomas, & Richard L. Jackson. (1991). Inhibition of IL-1β expression in THP-1 cells by probucol and tocopherol. Atherosclerosis. 86(2-3). 261–270. 79 indexed citations

Eghbali, M, R Tomek, Connie W. Woods, & Brijesh Bhambi. (1991). Cardiac fibroblasts are predisposed to convert into myocyte phenotype: specific effect of transforming growth factor beta.. Proceedings of the National Academy of Sciences. 88(3). 795–799. 127 indexed citations

Woods, Connie W., et al.. (1991). Suppression of interleukin-1 beta and LDL scavenger receptor expression in macrophages by a selective protein kinase C inhibitor.. Journal of Lipid Research. 32(10). 1699–1707. 27 indexed citations

Martin, Gary A., S J Busch, A D Cardin, et al.. (1988). Isolation and cDNA sequence of human postheparin plasma hepatic triglyceride lipase.. Journal of Biological Chemistry. 263(22). 10907–10914. 81 indexed citations

Kalb, Vernon F., Connie W. Woods, Thomas G. Turi, et al.. (1987). Primary Structure of the P450 Lanosterol Demethylase Gene from Saccharomyces cerevisiae. DNA. 6(6). 529–537. 145 indexed citations

Kalb, Vernon F., Joyce E. Loper, Chitta R. Dey, Connie W. Woods, & Thomas R. Sutter. (1986). Isolation of a cytochrome P-450 structural gene from Saccharomyces cerevisiae. Gene. 45(3). 237–245. 69 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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