M. S. Chadfield

816 citations
24 papers · 652 indexed · h-index 17
Topics
Salmonella and Campylobacter epidemiology (13 papers)Animal Nutrition and Physiology (6 papers)Antimicrobial Resistance in Staphylococcus (5 papers)

In The Last Decade

M. S. Chadfield

23 papers receiving 626 citations

Peers

M. S. Chadfield
Comparison fields: 5 of 67
  • Food Science 284
  • Infectious Diseases 185
  • Endocrinology 134
  • Animal Science and Zoology 116
  • Molecular Biology 105
Replace R. Astorga with:
R. Astorga Spain
Brian W. Brunelle United States
Robert Söderlund Sweden
Diana Meemken Germany
Magdalena Kizerwetter‐Świda Poland
Ingrid Hänel Germany
Sandeep Ghatak India
Eglė Kudirkienė Denmark
Pascal Arné France
Niwat Chansiripornchai Thailand
M. S. Chadfield relative to R. Astorga Spain R. Astorga's profile →
Citations per field
00.5×1.5×1.9×
R. Astorga · 1×
Citations per year

Countries citing papers authored by M. S. Chadfield

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Chadfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Chadfield. 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 M. S. Chadfield. The network helps show where M. S. Chadfield may publish in the future.

Co-authorship network of co-authors of M. S. Chadfield

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Chadfield. A scholar is included among the top collaborators of M. S. Chadfield 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 M. S. Chadfield. M. S. Chadfield 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
#WorkIndexed citations
1 59
2 19
3 31
4
Chicken model of Enterococcus faecalis native-valve endocarditis
0
5 40
6 40
7 16
8 33
9 54
10 31
11 15
12 16
13 34
14 10
15 4
16 29
17 63
18 23
19 46
20 22

About M. S. Chadfield

M. S. Chadfield is a scholar working on Molecular Medicine, Animal Science and Zoology and Food Science, having authored 24 papers that have together received 652 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (13 papers), Animal Nutrition and Physiology (6 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). The work is most often cited by research in Endocrinology (134 citations), Food Science (284 citations) and Microbiology (95 citations). M. S. Chadfield has collaborated with scholars based in United Kingdom, Denmark and Russia. Frequent co-authors include Jens Peter Christensen, Magne Bisgaard, John Elmerdahl Olsen, Henrik Christensen, Line Elnif Thomsen, Søren Aabo, Derek Brown, A. Permin, P. Nansen and Josep Casadesús. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity and Journal of Applied Microbiology.

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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