M. Johnston

2.0k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

M. Johnston is a scholar working on Environmental Chemistry, Cardiology and Cardiovascular Medicine and Ecology. According to data from OpenAlex, M. Johnston has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Chemistry, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Ecology. Recurrent topics in M. Johnston's work include Microbial Community Ecology and Physiology (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Viral Infections and Immunology Research (5 papers). M. Johnston is often cited by papers focused on Microbial Community Ecology and Physiology (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Viral Infections and Immunology Research (5 papers). M. Johnston collaborates with scholars based in United States, United Kingdom and Canada. M. Johnston's co-authors include Hazel A. Barton, Kalinka Koteva, Kirandeep Bhullar, Nicholas Waglechner, Gerard D. Wright, A Pawłowski, Michael J. Wilkins, Robert Danczak, Kelly Wrighton and D. C. Burke and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Water Resources Research.

In The Last Decade

M. Johnston

32 papers receiving 1.3k citations

Hit Papers

Antibiotic Resistance Is Prevalent in an Isolated Cave Mi... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Johnston United States 15 560 424 275 236 149 32 1.3k
Roland C. Wilhelm United States 23 696 1.2× 625 1.5× 176 0.6× 156 0.7× 51 0.3× 47 2.0k
Kim Lee Ng Denmark 8 580 1.0× 739 1.7× 230 0.8× 104 0.4× 78 0.5× 12 1.6k
Isabel Barcina Spain 26 714 1.3× 480 1.1× 312 1.1× 117 0.5× 100 0.7× 55 1.8k
Raffaele Peduzzi Switzerland 28 893 1.6× 685 1.6× 195 0.7× 97 0.4× 486 3.3× 66 2.3k
Randall E. Hicks United States 21 827 1.5× 395 0.9× 348 1.3× 57 0.2× 65 0.4× 41 2.0k
Christian S. Riesenfeld United States 6 571 1.0× 715 1.7× 214 0.8× 204 0.9× 38 0.3× 6 1.3k
Scott Clingenpeel United States 15 865 1.5× 998 2.4× 146 0.5× 140 0.6× 59 0.4× 21 2.2k
Antonella Demarta Switzerland 17 290 0.5× 296 0.7× 136 0.5× 122 0.5× 347 2.3× 31 941
Jason A. Steen Australia 17 388 0.7× 585 1.4× 127 0.5× 115 0.5× 94 0.6× 37 1.3k
Yue Hu China 24 381 0.7× 685 1.6× 107 0.4× 162 0.7× 76 0.5× 61 1.7k

Countries citing papers authored by M. Johnston

Since Specialization
Citations

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

Fields of papers citing papers by M. Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of M. Johnston. A scholar is included among the top collaborators of M. Johnston 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 M. Johnston. M. Johnston 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.
Jankowski, Kathi Jo, et al.. (2023). River Geomorphology Affects Biogeochemical Responses to Hydrologic Events in a Large River Ecosystem. Water Resources Research. 59(7). 3 indexed citations
2.
Danczak, Robert, et al.. (2019). Capability for arsenic mobilization in groundwater is distributed across broad phylogenetic lineages. PLoS ONE. 14(9). e0221694–e0221694. 12 indexed citations
3.
Daly, Rebecca A., Simon Roux, Mikayla Borton, et al.. (2018). Viruses control dominant bacteria colonizing the terrestrial deep biosphere after hydraulic fracturing. Nature Microbiology. 4(2). 352–361. 76 indexed citations
4.
Danczak, Robert, et al.. (2017). Members of the Candidate Phyla Radiation are functionally differentiated by carbon- and nitrogen-cycling capabilities. Microbiome. 5(1). 112–112. 102 indexed citations
5.
Martins, Paula Dalcin, David Hoyt, Sheel Bansal, et al.. (2017). Abundant carbon substrates drive extremely high sulfate reduction rates and methane fluxes in Prairie Pothole Wetlands. Global Change Biology. 23(8). 3107–3120. 74 indexed citations
6.
Williams, Kenneth H., et al.. (2017). Anoxia stimulates microbially catalyzed metal release from Animas River sediments. Environmental Science Processes & Impacts. 19(4). 578–585. 13 indexed citations
7.
Johnston, M., et al.. (2017). Draft Genome Sequences of Multiple Frackibacter Strains Isolated from Hydraulically Fractured Shale Environments. Genome Announcements. 5(32). 4 indexed citations
8.
Johnston, M.. (2013). The Dominance of the Archaea in the Terrestrial Subsurface. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
9.
Raichlin, Eugenia, Nicholas Haglund, Elizabeth Lyden, et al.. (2013). Worsening Renal Function in Patients With Acute Decompensated Heart Failure Treated With Ultrafiltration: Predictors and Outcomes. Journal of Cardiac Failure. 19(12). 787–794. 11 indexed citations
10.
Bhullar, Kirandeep, Nicholas Waglechner, A Pawłowski, et al.. (2012). Antibiotic Resistance Is Prevalent in an Isolated Cave Microbiome. PLoS ONE. 7(4). e34953–e34953. 482 indexed citations breakdown →
11.
Anderson, Daniel R., Michael J. Duryee, Robert P. Garvin, et al.. (2010). Albumin-based Microbubbles Bind Up-regulated Scavenger Receptors following Vascular Injury. Journal of Biological Chemistry. 285(52). 40645–40653. 11 indexed citations
12.
Boettcher, M. S., et al.. (2006). Analysis of a M2.2 Earthquake in Tautona Gold Mine, South Africa, and Estimate of its Energy Budget. AGU Fall Meeting Abstracts. 2006. 1 indexed citations
14.
Johnston, M., et al.. (1996). Construct validity of the comprehensive level of consciousness scale: A comparison of behavioral and neurodiagnostic measures. Archives of Clinical Neuropsychology. 11(8). 703–711. 3 indexed citations
15.
Johnston, M.. (1987). The geology of the Rotokohu coal measures, Inangahua Valley, Buller.. University of Canterbury Research Repository (University of Canterbury). 2 indexed citations
16.
Johnston, M.. (1981). The Characteristics Required for a Sendai Virus Preparation to Induce High Levels of Interferon in Human Lymphoblastoid Cells. Journal of General Virology. 56(1). 175–184. 52 indexed citations
17.
Johnston, M.. (1980). Enhanced Production of Interferon from Human Lymphoblastoid (Namalwa) Cells Pre-treated with Sodium Butyrate. Journal of General Virology. 50(1). 191–194. 17 indexed citations
18.
Atkins, Gerald J., et al.. (1974). Induction of Interferon in Chick Cells by Temperature-sensitive Mutants of Sindbis Virus. Journal of General Virology. 25(3). 381–390. 65 indexed citations
19.
Johnston, M. & Séamus J. Martin. (1971). Capsid and Procapsid Proteins of a Bovine Enterovirus. Journal of General Virology. 11(2). 71–79. 19 indexed citations
20.
Martin, Samuel, M. Johnston, & J. Barklie Clements. (1970). Purification and Characterization of Bovine Enteroviruses. Journal of General Virology. 7(2). 103–113. 17 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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