Michael J. Conway

2.4k total citations
57 papers, 1.7k citations indexed

About

Michael J. Conway is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Molecular Biology. According to data from OpenAlex, Michael J. Conway has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 14 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Michael J. Conway's work include Mosquito-borne diseases and control (19 papers), Cervical Cancer and HPV Research (12 papers) and Insect symbiosis and bacterial influences (11 papers). Michael J. Conway is often cited by papers focused on Mosquito-borne diseases and control (19 papers), Cervical Cancer and HPV Research (12 papers) and Insect symbiosis and bacterial influences (11 papers). Michael J. Conway collaborates with scholars based in United States, United Kingdom and China. Michael J. Conway's co-authors include Tonya M. Colpitts, Craig Meyers, Erol Fikrig, Ruth R. Montgomery, Samina Alam, Neil D. Christensen, Berlin Londoño-Rentería, Alan M. Watson, David Holder and Andrea Troupin and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and PEDIATRICS.

In The Last Decade

Michael J. Conway

55 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Conway United States 23 717 569 423 257 250 57 1.7k
Bo Nilson Sweden 26 427 0.6× 307 0.5× 497 1.2× 208 0.8× 595 2.4× 65 1.9k
Monia Pacenti Italy 27 1.2k 1.7× 1.2k 2.1× 306 0.7× 145 0.6× 212 0.8× 62 1.9k
Peigang Wang China 24 532 0.7× 1.1k 2.0× 241 0.6× 62 0.2× 647 2.6× 63 2.3k
Juan E. Ludert Venezuela 33 986 1.4× 2.0k 3.6× 401 0.9× 123 0.5× 337 1.3× 89 3.0k
Alessandro Sinigaglia Italy 24 619 0.9× 814 1.4× 279 0.7× 88 0.3× 339 1.4× 46 1.5k
Fukai Bao China 15 248 0.3× 838 1.5× 179 0.4× 294 1.1× 263 1.1× 62 1.6k
Camila Malta Romano Brazil 24 737 1.0× 792 1.4× 376 0.9× 112 0.4× 211 0.8× 100 1.8k
Myung‐Sik Choi South Korea 29 591 0.8× 1.0k 1.8× 190 0.4× 143 0.6× 374 1.5× 60 2.4k
Adriana Marques United States 28 570 0.8× 1.8k 3.2× 227 0.5× 242 0.9× 249 1.0× 78 2.8k
Yi Tang China 29 509 0.7× 1.5k 2.7× 456 1.1× 82 0.3× 371 1.5× 150 2.6k

Countries citing papers authored by Michael J. Conway

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Conway

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Conway. A scholar is included among the top collaborators of Michael J. Conway 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 J. Conway. Michael J. Conway 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.
Swarts, Benjamin M., et al.. (2025). Trehalose supports the growth of Aedes aegypti cells and modifies gene expression and dengue virus type 2 replication. PLoS Pathogens. 21(5). e1012795–e1012795.
2.
Conway, Michael J., et al.. (2024). Chronic shedding of a SARS-CoV-2 Alpha variant in wastewater. BMC Genomics. 25(1). 59–59. 4 indexed citations
3.
Conway, Michael J., et al.. (2023). Targeting Aedes aegypti Metabolism with Next-Generation Insecticides. Viruses. 15(2). 469–469. 12 indexed citations
4.
Conway, Michael J., et al.. (2023). SARS-CoV-2 wastewater monitoring in rural and small metropolitan communities in Central Michigan. The Science of The Total Environment. 894. 165013–165013. 8 indexed citations
5.
Londoño-Rentería, Berlin, Eric Calvo, Alberto Tobón-Castaño, et al.. (2020). Antibody Responses Against Anopheles darlingi Immunogenic Peptides in Plasmodium Infected Humans. Frontiers in Cellular and Infection Microbiology. 10. 455–455. 8 indexed citations
6.
Londoño-Rentería, Berlin, et al.. (2019). Dengue virus reduces expression of low-density lipoprotein receptor-related protein 1 to facilitate replication in Aedes aegypti. Scientific Reports. 9(1). 6352–6352. 28 indexed citations
7.
Conway, Michael J., et al.. (2019). Extracellular vesicles restrict dengue virus fusion in Aedes aegypti cells. Virology. 541. 141–149. 7 indexed citations
8.
Troupin, Andrea, Berlin Londoño-Rentería, Michael J. Conway, et al.. (2016). A novel mosquito ubiquitin targets viral envelope protein for degradation and reduces virion production during dengue virus infection. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(9). 1898–1909. 21 indexed citations
9.
Conway, Michael J., Berlin Londoño-Rentería, Andrea Troupin, et al.. (2016). Aedes aegypti D7 Saliva Protein Inhibits Dengue Virus Infection. PLoS neglected tropical diseases. 10(9). e0004941–e0004941. 65 indexed citations
10.
Conway, Michael J.. (2015). Identification of a Flavivirus Sequence in a Marine Arthropod. PLoS ONE. 10(12). e0146037–e0146037. 4 indexed citations
11.
Meyers, Joel D., et al.. (2014). Susceptibility of high-risk human papillomavirus type 16 to clinical disinfectants. Journal of Antimicrobial Chemotherapy. 69(6). 1546–1550. 57 indexed citations
12.
Conway, Michael J., Samina Alam, Sana Gul, et al.. (2014). Roles for Human Papillomavirus Type 16 L1 Cysteine Residues 161, 229, and 379 in Genome Encapsidation and Capsid Stability. PLoS ONE. 9(6). e99488–e99488. 9 indexed citations
13.
Conway, Michael J., et al.. (2011). Papillomavirus capsid proteins mutually impact structure. Virology. 412(2). 378–383. 10 indexed citations
14.
Conway, Michael J., et al.. (2011). Cross-Neutralization Potential of Native Human Papillomavirus N-Terminal L2 Epitopes. PLoS ONE. 6(2). e16405–e16405. 31 indexed citations
15.
Conway, Michael J., et al.. (2011). Differentiation-Dependent Interpentameric Disulfide Bond Stabilizes Native Human Papillomavirus Type 16. PLoS ONE. 6(7). e22427–e22427. 30 indexed citations
16.
17.
Conway, Michael J., Samina Alam, Neil D. Christensen, & Craig Meyers. (2009). Overlapping and independent structural roles for human papillomavirus type 16 L2 conserved cysteines. Virology. 393(2). 295–303. 26 indexed citations
18.
Finerty, S., John F. Tarlton, M. Mackett, et al.. (1992). Protective immunization against Epstein-Barr virus-induced disease in cottontop tamarins using the virus envelope glycoprotein gp340 produced from a bovine papillomavirus expression vector. Journal of General Virology. 73(2). 449–453. 45 indexed citations
19.
Conway, Michael J., et al.. (1975). CONTINUOUS MONITORING OF ARTERIAL OXYGEN TENSION USING A CATHETER-TIP POLAROGRAPHIC ELECTRODE IN INFANTS. Pediatric Research. 9(11). 859–859. 1 indexed citations
20.
Conway, Michael J., et al.. (1975). CONTINUOUS MONITORING OF ARTERIAL OXYGEN TENSION USING A CATHETER-TIP POLAROGRAPHIC ELECTRODE IN INFANTS. Pediatric Research. 9(11). 859–859. 2 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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