Wayne Conlan

1.2k total citations
20 papers, 921 citations indexed

About

Wayne Conlan is a scholar working on Molecular Biology, Genetics and Virology. According to data from OpenAlex, Wayne Conlan has authored 20 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Virology. Recurrent topics in Wayne Conlan's work include Bacillus and Francisella bacterial research (16 papers), Yersinia bacterium, plague, ectoparasites research (9 papers) and Poxvirus research and outbreaks (8 papers). Wayne Conlan is often cited by papers focused on Bacillus and Francisella bacterial research (16 papers), Yersinia bacterium, plague, ectoparasites research (9 papers) and Poxvirus research and outbreaks (8 papers). Wayne Conlan collaborates with scholars based in Canada, Sweden and United States. Wayne Conlan's co-authors include Anders Sjöstedt, Hua Shen, Igor Golovliov, Helena Lindgren, Wangxue Chen, Carl Zingmark, Susan M. Twine, Patrik Rydén, Gregory E. Harris and M A Bolanowski and has published in prestigious journals such as PLoS ONE, Infection and Immunity and PLoS Pathogens.

In The Last Decade

Wayne Conlan

20 papers receiving 917 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 Conlan Canada 17 703 438 218 171 154 20 921
Shilpa Soni United States 13 549 0.8× 332 0.8× 196 0.9× 179 1.0× 61 0.4× 22 745
Kerstin Kuoppa Sweden 16 650 0.9× 468 1.1× 140 0.6× 255 1.5× 88 0.6× 17 760
Andrei P. Pomerantsev United States 20 941 1.3× 477 1.1× 168 0.8× 377 2.2× 35 0.2× 37 1.1k
Jill Ellis United Kingdom 6 668 1.0× 439 1.0× 181 0.8× 192 1.1× 192 1.2× 7 959
Julie A. Lovchik United States 19 585 0.8× 247 0.6× 407 1.9× 169 1.0× 54 0.4× 31 1.1k
Michael L. Kotewicz United States 17 560 0.8× 147 0.3× 196 0.9× 230 1.3× 98 0.6× 27 1.0k
Michael Green United Kingdom 2 611 0.9× 402 0.9× 159 0.7× 163 1.0× 182 1.2× 3 681
Tonya R. Rhinehart-Jones United States 8 529 0.8× 155 0.4× 341 1.6× 110 0.6× 162 1.1× 8 841
Patrick Sanz United States 13 438 0.6× 222 0.5× 131 0.6× 149 0.9× 122 0.8× 19 627
Mark Fulop United Kingdom 9 404 0.6× 219 0.5× 185 0.8× 148 0.9× 116 0.8× 12 497

Countries citing papers authored by Wayne Conlan

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Conlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Conlan

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Conlan. A scholar is included among the top collaborators of Wayne Conlan 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 Conlan. Wayne Conlan 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.
Alimonti, Judie B., Maria Ribecco‐Lutkiewicz, Caroline Sodja, et al.. (2018). Zika virus crosses an in vitro human blood brain barrier model. Fluids and Barriers of the CNS. 15(1). 15–15. 63 indexed citations
2.
Lee, Seung Gee, Duane Hickling, Jeffrey W. Keillor, et al.. (2018). Antimicrobial peptide LL-37 and its truncated forms, GI-20 and GF-17, exert spermicidal effects and microbicidal activity against Neisseria gonorrhoeae. Human Reproduction. 33(12). 2175–2183. 22 indexed citations
3.
Golovliov, Igor, Helena Lindgren, Wayne Conlan, et al.. (2016). An In Vitro Co-culture Mouse Model Demonstrates Efficient Vaccine-Mediated Control of Francisella tularensis SCHU S4 and Identifies Nitric Oxide as a Predictor of Efficacy. Frontiers in Cellular and Infection Microbiology. 6. 152–152. 16 indexed citations
4.
Mélanie, Rigard, Jeanette E. Bröms, A. Mosnier, et al.. (2016). Francisella tularensis IglG Belongs to a Novel Family of PAAR-Like T6SS Proteins and Harbors a Unique N-terminal Extension Required for Virulence. PLoS Pathogens. 12(9). e1005821–e1005821. 37 indexed citations
5.
Binesse, Johan, et al.. (2015). Roles of Reactive Oxygen Species-Degrading Enzymes of Francisella tularensis SCHU S4. Infection and Immunity. 83(6). 2255–2263. 26 indexed citations
6.
KuoLee, Rhonda, Greg Harris, Hongbin Yan, et al.. (2014). Intranasal immunization protects against Acinetobacter baumannii-associated pneumonia in mice. Vaccine. 33(1). 260–267. 41 indexed citations
7.
Lindgren, Marie, et al.. (2014). Identification of Mechanisms for Attenuation of the FSC043 Mutant of Francisella tularensis SCHU S4. Infection and Immunity. 82(9). 3622–3635. 7 indexed citations
8.
Golovliov, Igor, Susan M. Twine, Hua Shen, Anders Sjöstedt, & Wayne Conlan. (2013). A ΔclpB Mutant of Francisella tularensis Subspecies holarctica Strain, FSC200, Is a More Effective Live Vaccine than F. tularensis LVS in a Mouse Respiratory Challenge Model of Tularemia. PLoS ONE. 8(11). e78671–e78671. 27 indexed citations
11.
Shen, Hua, Gregory E. Harris, Wangxue Chen, et al.. (2010). Molecular Immune Responses to Aerosol Challenge with Francisella tularensis in Mice Inoculated with Live Vaccine Candidates of Varying Efficacy. PLoS ONE. 5(10). e13349–e13349. 49 indexed citations
12.
Zingmark, Carl, Igor Golovliov, M A Bolanowski, et al.. (2009). Identification of Genes Contributing to the Virulence of Francisella tularensis SCHU S4 in a Mouse Intradermal Infection Model. PLoS ONE. 4(5). e5463–e5463. 88 indexed citations
13.
Lindgren, Helena, et al.. (2009). The 58-Kilodalton Major Virulence Factor of Francisella tularensis Is Required for Efficient Utilization of Iron. Infection and Immunity. 77(10). 4429–4436. 44 indexed citations
14.
Grunow, Roland, et al.. (2008). RAPID DETECTION OF FRANCISELLA TULARENSIS BY THE IMMUNOAFFINITY ASSAY ABICAP IN ENVIRONMENTAL AND HUMAN SAMPLES. Journal of Rapid Methods & Automation in Microbiology. 16(1). 30–54. 12 indexed citations
15.
Lindgren, Helena, Hua Shen, Carl Zingmark, et al.. (2007). Resistance ofFrancisella tularensisStrains against Reactive Nitrogen and Oxygen Species with Special Reference to the Role of KatG. Infection and Immunity. 75(3). 1303–1309. 99 indexed citations
16.
Andersson, Henrik, Rhonda KuoLee, Patrik Rydén, et al.. (2006). Transcriptional profiling of host responses in mouse lungs following aerosol infection with type A Francisella tularensis. Journal of Medical Microbiology. 55(3). 263–271. 49 indexed citations
17.
Twine, Susan M., Mona Byström, Wangxue Chen, et al.. (2005). A Mutant ofFrancisella tularensisStrain SCHU S4 Lacking the Ability To Express a 58-Kilodalton Protein Is Attenuated for Virulence and Is an Effective Live Vaccine. Infection and Immunity. 73(12). 8345–8352. 132 indexed citations
18.
Vinogradov, Evgeny, Wayne Conlan, John S. Gunn, & Malcolm B. Perry. (2004). Characterization of the lipopolysaccharide O-antigen of Francisella novicida (U112). Carbohydrate Research. 339(3). 649–654. 42 indexed citations
19.
Conlan, Wayne. (2004). Vaccines against Francisella tularensis – past, present and future. Expert Review of Vaccines. 3(3). 307–314. 42 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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