Mark B. Schultz

42 papers receiving 4.8k citations

Mark B. Schultz's Hit Papers

GISAID’s Role in Pandemic Response 2021 · 586 citations
5860+4+8Years since publication50010001.5k

Peers

Mark B. Schultz
Comparison fields: 5 of 134
  • Molecular Medicine 823
  • Endocrinology 483
  • Infectious Diseases 1.0k
  • Clinical Biochemistry 287
  • Ecology 1.0k
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mark B. Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark B. Schultz Line = papers co-authored together Mark B. Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bandage: interactive visualization of de novo genome assemblies
Hit paper breakdown →
20151815
2
SRST2: Rapid genomic surveillance for public health and hospital microbiology labs
Hit paper breakdown →
2014735
3
GISAID’s Role in Pandemic Response
Hit paper breakdown →
2021586
4 2020160
5 2016154
6 2016128
7 201594
8 202386
9 201486
10 200080
11 201664
12 201563
13 201959
14 201258
15 201457
16 201851
17 200949
18 201845
19 200442
20 200841

About Mark B. Schultz

Mark B. Schultz is a scholar working on Ecology, Molecular Biology, Molecular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 42 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Crustacean biology and ecology (11 papers), Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Marine and fisheries research (4 papers), Fish biology, ecology, and behavior (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Molecular Medicine (823 citations), Endocrinology (483 citations), Infectious Diseases (1.0k citations), Clinical Biochemistry (287 citations) and Ecology (1.0k citations). Mark B. Schultz has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Kathryn E. Holt, Justin Zobel, Ryan R. Wick, Takehiro Tomita, Michael Inouye, Harriet Dashnow, Bernard J. Pope, Christopher M. Austin, Han Ming Gan and Benjamin P. Howden. Their work appears in journals such as Molecular Phylogenetics and Evolution, Genome Medicine, Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology and Microbial Genomics.

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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