Connection
Edward Chan to Hawaii
This is a "connection" page, showing publications Edward Chan has written about Hawaii.
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Connection Strength |
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0.264 |
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Hendrix J, Epperson LE, Tong EI, Chan YL, Hasan NA, Dawrs SN, Norton GJ, Virdi R, Crooks JL, Chan ED, Honda JR, Strong M. Complete genome assembly of Hawai'i environmental nontuberculous mycobacteria reveals unexpected co-isolation with methylobacteria. PLoS One. 2023; 18(9):e0291072.
Score: 0.056
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Parsons AW, Dawrs SN, Nelson ST, Norton GJ, Virdi R, Hasan NA, Epperson LE, Holst B, Chan ED, Leos-Barajas V, Reich BJ, Crooks JL, Strong M, Pacifici K, Honda JR. Soil Properties and Moisture Synergistically Influence Nontuberculous Mycobacterial Prevalence in Natural Environments of Hawai'i. Appl Environ Microbiol. 2022 05 10; 88(9):e0001822.
Score: 0.050
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Glickman CM, Virdi R, Hasan NA, Epperson LE, Brown L, Dawrs SN, Crooks JL, Chan ED, Strong M, Nelson ST, Honda JR. Assessment of Soil Features on the Growth of Environmental Nontuberculous Mycobacterial Isolates from Hawai'i. Appl Environ Microbiol. 2020 10 15; 86(21).
Score: 0.045
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Honda JR, Chan YL, Tong EI, Kawatachi M, Virdi R, Norton GJ, Dawrs SN, Hasan NA, Epperson LE, Crooks JT, Chan ED, Strong M. Inaugural nontuberculous mycobacterial lung disease education and research conference, Honolulu, Hawai'i, February 1-2, 2020. Microbes Infect. 2021 Jan-Feb; 23(1):104763.
Score: 0.045
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Honda JR, Hasan NA, Davidson RM, Williams MD, Epperson LE, Reynolds PR, Smith T, Iakhiaeva E, Bankowski MJ, Wallace RJ, Chan ED, Falkinham JO, Strong M. Environmental Nontuberculous Mycobacteria in the Hawaiian Islands. PLoS Negl Trop Dis. 2016 Oct; 10(10):e0005068.
Score: 0.034
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Abe J, Alop-Mabuti A, Burger P, Button J, Ellsberry M, Hitzeman J, Morgenstern D, Nunies K, Strother M, Darling-Munson J, Chan YL, Cassady R, Vasconcellos SM, Iseman MD, Chan ED, Honda JR. Comparing the temporal colonization and microbial diversity of showerhead biofilms in Hawai'i and Colorado. FEMS Microbiol Lett. 2016 Feb; 363(4).
Score: 0.033
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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