P.J. Buttery

796 total citations
20 papers, 597 citations indexed

About

P.J. Buttery is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, P.J. Buttery has authored 20 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in P.J. Buttery's work include Muscle metabolism and nutrition (6 papers), Muscle Physiology and Disorders (4 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). P.J. Buttery is often cited by papers focused on Muscle metabolism and nutrition (6 papers), Muscle Physiology and Disorders (4 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). P.J. Buttery collaborates with scholars based in United Kingdom and United States. P.J. Buttery's co-authors include John M. Brameld, Tim Parr, A. J. Fahey, J. B. Soar, Z. Daniel, J.C. MacRae, N.D. Scollan, J. Craigon, D. Wakelin and J. Dandrea and has published in prestigious journals such as Annals of the Rheumatic Diseases, British Journal Of Nutrition and Journal of Animal Science.

In The Last Decade

P.J. Buttery

18 papers receiving 546 citations

Peers

P.J. Buttery
Comparison fields: 5 of 76
  • Pediatrics, Perinatology and Child Health 202
  • Agronomy and Crop Science 161
  • Molecular Biology 153
  • Physiology 121
  • Animal Science and Zoology 116
Replace Patricia A. Schoknecht with:
Patricia A. Schoknecht United States
Guoyao Wu United States
Z. Daniel United Kingdom
Jeffrey F. Trahair Australia
R. Pfuhl Germany
P. M. Nissen Denmark
S. A. McCoard New Zealand
Christos Antipatis United Kingdom
R Slepetis United States
Laura Torres-Rovira Spain
Patricia A. Schoknecht United States View profile →
Citations per field, relative to P.J. Buttery
P.J. Buttery · 1×
Citations per year, relative to P.J. Buttery
P.J. Buttery · 1×

Countries citing papers authored by P.J. Buttery

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Buttery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.J. Buttery

This figure shows the co-authorship network connecting the top 25 collaborators of P.J. Buttery. A scholar is included among the top collaborators of P.J. Buttery 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 P.J. Buttery. P.J. Buttery 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 13
2 83
3 142
4 0
5 60
6 102
7 1
8 1
9
Amino acid metabolism in farm animals: an overview.
17
10 13
11 2
12 70
13 38
14 7
15 22
16
The patho-physiological basis for tests of viability in isolated perfused organs.
11
17
The effects of implanting jugular catheters on plasma glucose concentrations in wethers fed two extremes of diet.
7
18 6
19 1
20 1

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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