María Fookes

9.2k citations
38 papers · 5.4k indexed · 1 hit paper · h-index 23

María Fookes

38 papers receiving 5.3k citations

Hit Papers

Roary: rapid large-scale prokaryote pan genome analysis3.6k201520262018202210002.0k3.0k

Peers

María Fookes
Comparison fields: 5 of 118
  • Endocrinology 1.4k
  • Molecular Medicine 1.3k
  • Food Science 1.5k
  • Microbiology 439
  • Clinical Biochemistry 379
Replace Nabil-Fareed Alikhan with:
Nabil-Fareed Alikhan United Kingdom
Vanessa Wong United Kingdom
Rolf Sommer Kaas Denmark
Nouri L. Ben Zakour Australia
Jens A. Hammerl Germany
Carla Cummins United Kingdom
Dandan Zheng China
Sandra Reuter Germany
Karl Pedersen Denmark
María Fookes relative to Nabil-Fareed Alikhan United Kingdom Nabil-Fareed Alikhan's profile →
Citations per field
00.5×1.5×1.8×
Nabil-Fareed Alikhan · 1×
Citations per year

Countries citing papers authored by María Fookes

Since Specialization
Citations

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

Fields of papers citing papers by María Fookes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20196
2 201825
3 20175
4 201744
5 20161
6
Roary: rapid large-scale prokaryote pan genome analysisbreakdown →
20153627
7 2015120
8 20152
9 201420
10 201361
11 201112
12 201140
13 201067
14 200941
15 20097
16 200979
17 2007169
18 200734
19 200537
20 200488

About María Fookes

María Fookes is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 38 papers that have together received 5.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (24 papers), Bacteriophages and microbial interactions (18 papers), Bacterial Genetics and Biotechnology (9 papers), Antibiotic Resistance in Bacteria (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Genomics and Phylogenetic Studies (6 papers), Vibrio bacteria research studies (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Endocrinology (1.4k citations), Molecular Medicine (1.3k citations) and Food Science (1.5k citations). María Fookes has collaborated with scholars based in United Kingdom, United States and Vietnam. Frequent co-authors include Julian Parkhill, Vanessa Wong, Daniel Falush, Carla Cummins, Martin Hunt, Sandra Reuter, Matthew T. G. Holden, Andrew J. Page, Jacqueline A. Keane and Nicholas R. Thomson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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