Mark B. Schultz

10.1k citations
42 papers · 4.7k indexed · 3 hit papers · h-index 26

Mark B. Schultz

42 papers receiving 4.7k citations

Hit Papers

GISAID’s Role in Pandemic Response562201420262018202250010001.5k

Peers

Mark B. Schultz
Comparison fields: 5 of 138
  • Molecular Medicine 867
  • Endocrinology 551
  • Infectious Diseases 1.1k
  • Clinical Biochemistry 347
  • Ecology 1.1k
Replace David M. Engelthaler with:
David M. Engelthaler United States
Olivier Tenaillon France
Gary Van Domselaar Canada
Thomas R. Connor United Kingdom
Stephan Fuchs Germany
Jian Yang China
R. Craig MacLean United Kingdom
James J. Davis United States
Élisabeth Carniel France
Mark B. Schultz relative to David M. Engelthaler United States David M. Engelthaler's profile →
Citations per field
00.5×1.5×2.2×
David M. Engelthaler · 1×
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-authorship network

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
#Work
1 202376
2 20225
3
GISAID’s Role in Pandemic Responsebreakdown →
2021562
4 201957
5 201851
6 201831
7 201844
8 201821
9 201710
10 201717
11 2016147
12
Bandage: interactive visualization of de novo genome assembliesbreakdown →
20151718
13 201561
14 20146
15 201455
16 201486
17 201439
18 201257
19 200834
20 200822

About Mark B. Schultz

Mark B. Schultz is a scholar working on Molecular Medicine, Clinical Biochemistry, Endocrinology, Ecology and Infectious Diseases, having authored 42 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Crustacean biology and ecology (12 papers), Antibiotic Resistance in Bacteria (10 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers), Marine and fisheries research (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Molecular Medicine (867 citations), Endocrinology (551 citations), Infectious Diseases (1.1k citations), Clinical Biochemistry (347 citations) and Ecology (1.1k 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, Bernard J. Pope, Michael Inouye, Harriet Dashnow, Christopher M. Austin, Han Ming Gan and Benjamin P. Howden. Their work appears in journals such as Molecular Phylogenetics and Evolution, Genome Medicine, Molecular Ecology, Invertebrate Systematics 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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