Mark B. Schultz

10.1k total citations · 3 hit papers
42 papers, 4.7k citations indexed

About

Mark B. Schultz is a scholar working on Ecology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Mark B. Schultz has authored 42 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 16 papers in Molecular Biology and 10 papers in Molecular Medicine. Recurrent topics in Mark B. Schultz's work include Genomics and Phylogenetic Studies (12 papers), Crustacean biology and ecology (12 papers) and Antibiotic Resistance in Bacteria (10 papers). Mark B. Schultz is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Crustacean biology and ecology (12 papers) and Antibiotic Resistance in Bacteria (10 papers). Mark B. Schultz collaborates with scholars based in Australia, United States and Malaysia. Mark B. Schultz's co-authors include Kathryn E. Holt, Justin Zobel, Ryan R. Wick, Takehiro Tomita, Bernard J. Pope, Michael Inouye, Harriet Dashnow, Christopher M. Austin, Han Ming Gan and Benjamin P. Howden and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Mark B. Schultz

42 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bandage: interactive visualization of de novo genome assemblies

2015 1.7k citations Ryan R. Wick, Mark B. Schultz et al. Bioinformatics profile →
SRST2: Rapid genomic surveillance for public health and hospital microbiology labs

2014 724 citations Mark B. Schultz, Takehiro Tomita et al. Genome Medicine profile →
GISAID’s Role in Pandemic Response

2021 562 citations Céline Gurry, Lucas Freitas et al. China CDC Weekly profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark B. Schultz Australia	26	2.1k	1.1k	1.1k	867	588	42	4.7k
Samuel K. Sheppard United Kingdom	45	2.0k 0.9×	1.7k 1.5×	2.3k 2.1×	515 0.6×	633 1.1×	158	7.0k
An Martel Belgium	53	999 0.5×	1.2k 1.1×	1.9k 1.7×	853 1.0×	1.0k 1.7×	290	8.8k
Brian Ondov United States	15	2.9k 1.4×	1.5k 1.4×	666 0.6×	787 0.9×	787 1.3×	22	5.3k
Derrick E. Wood United States	7	3.8k 1.8×	2.0k 1.8×	989 0.9×	560 0.6×	714 1.2×	10	7.1k
Alexis Criscuolo France	28	1.7k 0.8×	938 0.9×	363 0.3×	614 0.7×	553 0.9×	78	4.3k
Carla Cummins United Kingdom	5	1.8k 0.9×	865 0.8×	786 0.7×	932 1.1×	523 0.9×	6	3.9k
Timothy D. Read United States	47	3.7k 1.8×	1.6k 1.4×	1.2k 1.1×	525 0.6×	540 0.9×	168	7.1k
Eric W. Brown United States	43	2.0k 1.0×	1.2k 1.1×	697 0.6×	514 0.6×	782 1.3×	228	6.2k
Stephan Fuchs Germany	34	1.6k 0.8×	453 0.4×	957 0.9×	505 0.6×	306 0.5×	87	3.2k
Dmitry Meleshko United States	9	2.4k 1.1×	1.8k 1.7×	559 0.5×	347 0.4×	839 1.4×	17	4.8k

Countries citing papers authored by Mark B. Schultz

Since Specialization

Citations

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

Fields of papers citing papers by Mark B. Schultz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark B. Schultz. 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 Mark B. Schultz. The network helps show where Mark B. Schultz may publish in the future.

Co-authorship network of co-authors of Mark B. Schultz

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

All Works

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20 of 20 papers shown

Sherry, Norelle L., Kristy Horan, Susan A. Ballard, et al.. (2023). An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance. Nature Communications. 14(1). 60–60. 76 indexed citations

Roberts, Sally, Matthew Blakiston, Mark B. Schultz, et al.. (2022). Epidemiology of carbapenem resistant Acinetobacter baumannii in New Zealand. New Zealand Medical Journal. 135(1561). 76–82. 5 indexed citations

Gurry, Céline, Lucas Freitas, Mark B. Schultz, et al.. (2021). GISAID’s Role in Pandemic Response. China CDC Weekly. 3(49). 1049–1051. 562 indexed citations breakdown →

Sherry, Norelle L., Courtney R. Lane, Jason C. Kwong, et al.. (2019). Genomics for Molecular Epidemiology and Detecting Transmission of Carbapenemase-Producing Enterobacterales in Victoria, Australia, 2012 to 2016. Journal of Clinical Microbiology. 57(9). 57 indexed citations

Kwong, Jason C., Courtney R. Lane, Anders Gonçalves da Silva, et al.. (2018). Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak. PeerJ. 6. e4210–e4210. 51 indexed citations

Guérillot, Romain, Lucy Li, Sarah L. Baines, et al.. (2018). Comprehensive antibiotic-linked mutation assessment by resistance mutation sequencing (RM-seq). Genome Medicine. 10(1). 63–63. 31 indexed citations

Giulieri, Stefano, Sarah L. Baines, Romain Guérillot, et al.. (2018). Genomic exploration of sequential clinical isolates reveals a distinctive molecular signature of persistent Staphylococcus aureus bacteraemia. Genome Medicine. 10(1). 65–65. 44 indexed citations

Smibert, Olivia, Ar Kar Aung, Mark B. Schultz, et al.. (2018). Mobile phones and computer keyboards: unlikely reservoirs of multidrug-resistant organisms in the tertiary intensive care unit. Journal of Hospital Infection. 99(3). 295–298. 21 indexed citations

Buultjens, Andrew H., Kyra Chua, Sarah L. Baines, et al.. (2017). A Supervised Statistical Learning Approach for Accurate Legionella pneumophila Source Attribution during Outbreaks. Applied and Environmental Microbiology. 83(21). 10 indexed citations

10.

Gan, Han Ming, Mun Hua Tan, Yin Peng Lee, et al.. (2017). More evolution underground: Accelerated mitochondrial substitution rate in Australian burrowing freshwater crayfishes (Decapoda: Parastacidae). Molecular Phylogenetics and Evolution. 118. 88–98. 17 indexed citations

11.

Gionfriddo, Caitlin M., Michael T. Tate, Ryan R. Wick, et al.. (2016). Microbial mercury methylation in Antarctic sea ice. Nature Microbiology. 1(10). 16127–16127. 147 indexed citations

12.

Wick, Ryan R., Mark B. Schultz, Justin Zobel, & Kathryn E. Holt. (2015). Bandage: interactive visualization of de novo genome assemblies. Bioinformatics. 31(20). 3350–3352. 1718 indexed citations breakdown →

13.

Tan, Mun Hua, Han Ming Gan, Mark B. Schultz, & Christopher M. Austin. (2015). MitoPhAST, a new automated mitogenomic phylogeny tool in the post-genomic era with a case study of 89 decapod mitogenomes including eight new freshwater crayfish mitogenomes. Molecular Phylogenetics and Evolution. 85. 180–188. 61 indexed citations

14.

Gan, Han Ming, et al.. (2014). The complete mitogenome of the Australian crayfish Geocharax gracilis Clark 1936 (Crustacea: Decapoda: Parastacidae). Mitochondrial DNA Part A. 27(2). 826–827. 6 indexed citations

15.

Martien, Karen K., S. J. Chivers, Robin W. Baird, et al.. (2014). Nuclear and Mitochondrial Patterns of Population Structure in North Pacific False Killer Whales (Pseudorca crassidens). Journal of Heredity. 105(5). 611–626. 55 indexed citations

16.

Gan, Han Ming, Mark B. Schultz, & Christopher M. Austin. (2014). Integrated shotgun sequencing and bioinformatics pipeline allows ultra-fast mitogenome recovery and confirms substantial gene rearrangements in Australian freshwater crayfishes. BMC Evolutionary Biology. 14(1). 19–19. 86 indexed citations

17.

Schultz, Mark B., Federica Colombo, John A. E. Gibson, et al.. (2014). Distribution and Diversity of Soil Microfauna from East Antarctica: Assessing the Link between Biotic and Abiotic Factors. PLoS ONE. 9(1). e87529–e87529. 39 indexed citations

18.

Miller, Adam D., Anna Skoracka, Denise Návia, et al.. (2012). Phylogenetic analyses reveal extensive cryptic speciation and host specialization in an economically important mite taxon. Molecular Phylogenetics and Evolution. 66(3). 928–940. 57 indexed citations

19.

Schultz, Mark B., Sarah A. Smith, Pierre Horwitz, et al.. (2008). Evolution underground: A molecular phylogenetic investigation of Australian burrowing freshwater crayfish (Decapoda: Parastacidae) with particular focus on Engaeus Erichson. Molecular Phylogenetics and Evolution. 50(3). 580–598. 34 indexed citations

20.

Schultz, Mark B., Daniel Ierodiaconou, Sarah A. Smith, et al.. (2008). Sea‐level changes and palaeo‐ranges: reconstruction of ancient shorelines and river drainages and the phylogeography of the Australian land crayfishEngaeus sericatusClark (Decapoda: Parastacidae). Molecular Ecology. 17(24). 5291–5314. 22 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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