Morag Graham

6.5k citations
67 papers · 4.3k indexed · 1 hit paper · h-index 32

Morag Graham

67 papers receiving 4.2k citations

Hit Papers

Proksee: in-depth characterization and visualization of b...7432023202620242025200400600

Peers

Morag Graham
Comparison fields: 5 of 131
  • Infectious Diseases 1.5k
  • Endocrinology 404
  • Microbiology 460
  • Molecular Medicine 292
  • Biotechnology 419
Replace Gary Van Domselaar with:
Gary Van Domselaar Canada
Michael J. Federle United States
Sara D. Lawhon United States
Costi D. Sifri United States
Blake Hanson United States
Dena Lyras Australia
Edward J. Bottone United States
Darrell O. Bayles United States
Anderson Miyoshi Brazil
Filip Boyen Belgium
Morag Graham relative to Gary Van Domselaar Canada Gary Van Domselaar's profile →
Citations per field
00.5×1.5×
Gary Van Domselaar · 1×
Citations per year

Countries citing papers authored by Morag Graham

Since Specialization
Citations

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

Fields of papers citing papers by Morag Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Morag Graham, 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 Morag Graham Line = papers co-authored together Morag Graham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Proksee: in-depth characterization and visualization of bacterial genomesbreakdown →
2023743
2 20224
3 202229
4 20229
5 20217
6 2017108
7 201714
8 2017116
9 201312
10 201133
11 2011116
12 201027
13 201035
14 200622
15 2005183
16 2001171
17 2001144
18 200115
19 19978
20
The effect of magnesium on the multiplication of Streptococcus cremoris bacteriophage phageNZ104MG.
19862

About Morag Graham

Morag Graham is a scholar working on Infectious Diseases, Microbiology and Virology, having authored 67 papers that have together received 4.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Streptococcal Infections and Treatments (15 papers), Gut microbiota and health (13 papers), Bacteriophages and microbial interactions (10 papers), Salmonella and Campylobacter epidemiology (9 papers), Genomics and Phylogenetic Studies (7 papers), Mycobacterium research and diagnosis (7 papers) and Neonatal and Maternal Infections (5 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Endocrinology (404 citations) and Microbiology (460 citations). Morag Graham has collaborated with scholars based in Canada, United States and Kenya. Frequent co-authors include Gary Van Domselaar, James M. Musser, Kimmo Virtaneva, Daniel E. Sturdevant, Chih‐Yu Chen, Emily K. Herman, Eric Enns, Eric Marinier, Jason R. Grant and Paul Stothard. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Clinical Microbiology, Frontiers in Microbiology and BMC 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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