M.R. Williams

830 citations
32 papers · 725 · h-index 15

Impact in

Papers in

M.R. Williams

31 papers receiving 657 citations

Peers

M.R. Williams
Comparison fields: 5 of 74
  • Agronomy and Crop Science 370
  • Microbiology 175
  • Small Animals 133
  • Parasitology 76
  • Equine 15
Replace DL Watson with:
DL Watson Australia
Schalm Ow
F.J. Young United Kingdom
Carroll Ej
R.F. Sheldrake Australia
C. E. Hall United States
J. D. Dellinger United States
Suzanne Klaessig United States
Timothy W. J. Olchowy United States
Felix Bastida United States
M.R. Williams relative to DL Watson Australia DL Watson's profile →
Citations per field
00.5×3.3×
DL Watson · 1×
Citations per year

Countries citing papers authored by M.R. Williams

Since Specialization
Citations

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

Fields of papers citing papers by M.R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985130
2 200169
3 199046
4 198245
5 198143
6
Variation among cows in the ability of their blood polymorphonuclear leucocytes to kill Escherichia coli and Staphylococcus aureus.
198139
7 198337
8 197837
9 197531
10 198329
11 198527
12 197924
13 198620
14 198418
15 200217
16 198514
17 197813
18 197611
19 198211
20 19909

About M.R. Williams

M.R. Williams is a scholar working on Agronomy and Crop Science, Small Animals, Microbiology, Infectious Diseases and Epidemiology, having authored 32 papers that have together received 725 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (13 papers), Animal health and immunology (11 papers), Microbial infections and disease research (5 papers), Probiotics and Fermented Foods (4 papers), Antimicrobial Peptides and Activities (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Veterinary medicine and infectious diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (370 citations), Microbiology (175 citations), Small Animals (133 citations), Parasitology (76 citations) and Equine (15 citations). M.R. Williams has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include N. Craven, Kathryn Bunch, A. W. Hill, Terence R. Field, Patrícia Riddell Millar, James A. Leigh, R. Halliday, R. L. Spooner, A. J. F. Russel and Jason N. Peart. Their work appears in journals such as Research in Veterinary Science, Journal of Infection, Veterinary Immunology and Immunopathology, Clinical Infectious Diseases and Veterinary 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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