Wayne Connor

828 total citations
23 papers, 725 citations indexed

About

Wayne Connor is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Wayne Connor has authored 23 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Wayne Connor's work include RNA and protein synthesis mechanisms (7 papers), RNA Interference and Gene Delivery (6 papers) and Pneumonia and Respiratory Infections (4 papers). Wayne Connor is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA Interference and Gene Delivery (6 papers) and Pneumonia and Respiratory Infections (4 papers). Wayne Connor collaborates with scholars based in Canada, Ireland and United States. Wayne Connor's co-authors include Gordon H. Dixon, Jovita Mezquita, Stephen A. Krawetz, Robert J. Winkfein, Philip Willson, José Perez‐Casal, Shichun Lun, J. Christopher States, M.J. Ashwood-Smith and Andrew Potter and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and European Journal of Biochemistry.

In The Last Decade

Wayne Connor

22 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne Connor Canada 17 454 204 131 72 67 23 725
LeAnn L. Lindsay United States 17 186 0.4× 103 0.5× 156 1.2× 27 0.4× 56 0.8× 24 710
Lauris Kaplinski Estonia 13 451 1.0× 165 0.8× 22 0.2× 135 1.9× 31 0.5× 26 751
David W. Hibler United States 7 357 0.8× 216 1.1× 167 1.3× 16 0.2× 26 0.4× 8 623
Makoto Iwaya Japan 15 439 1.0× 362 1.8× 35 0.3× 62 0.9× 16 0.2× 29 759
W. M. Grosse United States 13 247 0.5× 402 2.0× 27 0.2× 73 1.0× 47 0.7× 27 763
A. Tania Bijovsky Brazil 15 120 0.3× 54 0.3× 234 1.8× 26 0.4× 88 1.3× 23 469
Judy A. Halliday Australia 10 296 0.7× 119 0.6× 30 0.2× 38 0.5× 10 0.1× 13 607
Karen Talmadge United States 11 680 1.5× 450 2.2× 171 1.3× 29 0.4× 29 0.4× 11 1.2k
J S Brusca United States 12 454 1.0× 169 0.8× 32 0.2× 88 1.2× 46 0.7× 16 715

Countries citing papers authored by Wayne Connor

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Connor

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

All Works

20 of 20 papers shown
1.
Naggar, Yahya Al, Yang Tan, Wayne Connor, et al.. (2015). Effects of treatments with Apivar® and Thymovar® on V. destructor populations, virus infections and indoor winter survival of Canadian honey bee (Apis mellifera L.) colonies. Journal of Apicultural Research. 54(5). 548–554. 20 indexed citations
2.
Robertson, A.J., Brett Trost, Erin Scruten, et al.. (2014). Identification of developmentally-specific kinotypes and mechanisms of Varroa mite resistance through whole-organism, kinome analysis of honeybee. Frontiers in Genetics. 5. 139–139. 32 indexed citations
3.
Connor, Wayne, et al.. (2008). The growth phase-dependent regulation of the pilus locus genes by two-component system TCS08 in Streptococcus pneumoniae. Microbial Pathogenesis. 46(1). 28–35. 16 indexed citations
4.
Connor, Wayne, et al.. (2008). Transcriptome studies on Streptococcus pneumoniae, illustration of early response genes to THP-1 human macrophages. Genomics. 93(1). 72–82. 14 indexed citations
5.
Connor, Wayne, et al.. (2008). Streptococcus pneumoniae early response genes to human lung epithelial cells. BMC Research Notes. 1(1). 64–64. 22 indexed citations
6.
Connor, Wayne, et al.. (2008). Microarray analysis of Streptococcus pneumoniae gene expression changes to human lung epithelial cells. Canadian Journal of Microbiology. 54(3). 189–200. 16 indexed citations
7.
Lun, Shichun, José Perez‐Casal, Wayne Connor, & Philip Willson. (2003). Role of suilysin in pathogenesis of Streptococcus suis capsular serotype 2. Microbial Pathogenesis. 34(1). 27–37. 92 indexed citations
8.
Rhim, Jonathan A., Wayne Connor, Gordon H. Dixon, et al.. (1995). Expression of an Avian Protamine in Transgenic Mice Disrupts Chromatin Structure in Spermatozoa1. Biology of Reproduction. 52(1). 20–32. 30 indexed citations
9.
Winkfein, Robert J., Sandra Nishikawa, Wayne Connor, & Gordon H. Dixon. (1993). Characterization of a marsupial sperm protamine gene and its transcripts from the North American opossum (Didelphis marsupialis). European Journal of Biochemistry. 215(1). 63–72. 11 indexed citations
10.
Krawetz, Stephen A., Wayne Connor, & Gordon H. Dixon. (1988). Bovine protamine genes contain a single intron. The structures of the two alleles.. Journal of Biological Chemistry. 263(1). 321–326. 33 indexed citations
11.
Krawetz, Stephen A., Wayne Connor, & Gordon H. Dixon. (1987). Cloning of Bovine P1 Protamine cDNA and the Evolution of Vertebrate P1 Protamines. DNA. 6(1). 47–57. 33 indexed citations
12.
13.
Krawetz, Stephen A., Wayne Connor, & Gordon H. Dixon. (1986). Oligonucleotides as probes for mammalian protamine mRNAs. Bioscience Reports. 6(6). 585–590. 4 indexed citations
14.
Mezquita, Jovita, Wayne Connor, Robert J. Winkfein, & Gordon H. Dixon. (1985). An H1 histone gene from rainbow trout (Salmo gairdnerii). Journal of Molecular Evolution. 21(3). 209–219. 37 indexed citations
15.
Connor, Wayne, Jovita Mezquita, Robert J. Winkfein, J. Christopher States, & Gordon H. Dixon. (1984). Organization of the histone genes in the rainbow trout (Salmo gairdnerii). Journal of Molecular Evolution. 20(3-4). 227–235. 33 indexed citations
16.
Connor, Wayne, J. Christopher States, Jovita Mezquita, & Gordon H. Dixon. (1984). Organization and nucleotide sequence of rainbow trout histone H2A and H3 genes. Journal of Molecular Evolution. 20(3-4). 236–250. 24 indexed citations
17.
States, J. Christopher, et al.. (1982). Nucleotide sequence of a protamine component CIIgene ofSalmo gairdnerii. Nucleic Acids Research. 10(15). 4551–4563. 37 indexed citations
18.
Gedamu, Lashitew, et al.. (1981). Molecular analysis of the protamine multi-gene family in rainbow trout testis. Nucleic Acids Research. 9(6). 1463–1482. 33 indexed citations
19.
Connor, Wayne. (1975). Balzac's Recurring Characters by Anthony R. Pugh (review). University of Toronto Quarterly. 44(4). 387–389.
20.
Connor, Wayne & M.J. Ashwood-Smith. (1973). Cryoprotection of mammalian cells in tissue culture with polymers; possible mechanisms. Cryobiology. 10(6). 488–496. 35 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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