Mitchell J. Sullivan

5.1k citations
28 papers · 3.3k · 1 hit paper · h-index 12

Impact in

Papers in

Mitchell J. Sullivan

28 papers receiving 3.3k citations

Mitchell J. Sullivan's Hit Papers

Easyfig: a genome comparison visualizer 2011 · 2.7k citations
2.7k0+5+10Years since publication50010001.5k2.0k2.5k

Peers

Mitchell J. Sullivan
Comparison fields: 5 of 104
  • Molecular Medicine 993
  • Endocrinology 662
  • Microbiology 427
  • Ecology 1.5k
  • Infectious Diseases 622
Replace Dandan Zheng with:
Dandan Zheng China
Carla Cummins United Kingdom
Patricia Siguier France
Carsten Friis Denmark
Vincent Burrus Canada
María Fookes United Kingdom
Hongning Wang China
Nabil-Fareed Alikhan United Kingdom
Vyacheslav Brover United States
M. Pilar Garcillán‐Barcia Spain
Mitchell J. Sullivan relative to Dandan Zheng China Dandan Zheng's profile →
Citations per field
00.5×3.6×
Dandan Zheng · 1×
Citations per year

Countries citing papers authored by Mitchell J. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell J. Sullivan. 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 Mitchell J. Sullivan. The network helps show where Mitchell J. Sullivan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Easyfig: a genome comparison visualizer
Hit paper breakdown →
20112700
2 2018157
3 201379
4 201948
5 201846
6 201537
7 201036
8 200930
9 201720
10 202319
11 201819
12 202011
13 202310
14 201210
15 20199
16 20176
17 20236
18 20244
19 20204
20 20213

About Mitchell J. Sullivan

Mitchell J. Sullivan is a scholar working on Infectious Diseases, Molecular Biology, Clinical Biochemistry, Ecology and Animal Science and Zoology, having authored 28 papers that have together received 3.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial Identification and Susceptibility Testing (6 papers), Bacterial biofilms and quorum sensing (5 papers), Bacteriophages and microbial interactions (3 papers), Genomics and Phylogenetic Studies (3 papers), Effects of Environmental Stressors on Livestock (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Molecular Medicine (993 citations), Endocrinology (662 citations), Microbiology (427 citations), Ecology (1.5k citations) and Infectious Diseases (622 citations). Mitchell J. Sullivan has collaborated with scholars based in United States, Australia and French Guiana. Frequent co-authors include Scott A. Beatson, Nicola K. Petty, Harm van Bakel, Robert Sebra, Gintaras Deikus, Navdeep Gill, Hardik Shah, Kaitlin U. Laverty, Jonathan E. Page and Timothy R. Hughes. Their work appears in journals such as Open Forum Infectious Diseases, G3 Genes Genomes Genetics, Infection and Immunity, Bioinformatics and Journal of Animal Science.

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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