Martin Day

2.4k total citations
29 papers, 1.4k citations indexed

About

Martin Day is a scholar working on Endocrinology, Food Science and Molecular Medicine. According to data from OpenAlex, Martin Day has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, 20 papers in Food Science and 16 papers in Molecular Medicine. Recurrent topics in Martin Day's work include Salmonella and Campylobacter epidemiology (20 papers), Antibiotic Resistance in Bacteria (16 papers) and Vibrio bacteria research studies (13 papers). Martin Day is often cited by papers focused on Salmonella and Campylobacter epidemiology (20 papers), Antibiotic Resistance in Bacteria (16 papers) and Vibrio bacteria research studies (13 papers). Martin Day collaborates with scholars based in United Kingdom, France and United States. Martin Day's co-authors include Katie L. Hopkins, Gauri Godbole, Timothy J. Dallman, Claire Jenkins, Michel Doumith, Neil Woodford, Subhrajit Saha, E. John Threlfall, Philip Ashton and Elizabeth de Pinna and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Martin Day

29 papers receiving 1.4k citations

Peers

Martin Day
Comparison fields: 5 of 83
  • Molecular Medicine 712
  • Food Science 649
  • Endocrinology 645
  • Infectious Diseases 391
  • Ecology 198
Replace Maria Sjölund-Karlsson with:
Maria Sjölund-Karlsson United States
Marie Anne Chattaway United Kingdom
Laëtitia Fabre France
Cecilia López Spain
Susanne Karlsmose Pedersen Denmark
Anna Maria Dionisi Italy
Hazem Ramadan Egypt
Goutam Chowdhury India
Patricia Alba Italy
Ryuji Kawahara Japan
Maria Sjölund-Karlsson United States View profile →
Citations per field, relative to Martin Day
Martin Day · 1×
Citations per year, relative to Martin Day
Martin Day · 1×

Countries citing papers authored by Martin Day

Since Specialization
Citations

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

Fields of papers citing papers by Martin Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Day

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Day. A scholar is included among the top collaborators of Martin Day based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Day. Martin Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2 14
3 15
4 54
5 73
6 25
7 129
8 120
9 61
10 35
11 47
12 40
13 42
14 48
15 212
16 23
17 15
18 87
19 60
20 14

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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