Kate T. Murphy

3.0k citations
51 papers · 2.2k indexed · h-index 26
Topics
Muscle Physiology and Disorders (21 papers)Muscle metabolism and nutrition (14 papers)Cardiovascular and exercise physiology (12 papers)
Journals
SHILAP Revista de lepidopterologíaCirculation ResearchThe Journal of Physiology

In The Last Decade

Kate T. Murphy

51 papers receiving 2.2k citations

Peers

Kate T. Murphy
Comparison fields: 5 of 118
  • Molecular Biology 1.2k
  • Physiology 993
  • Cell Biology 586
  • Rehabilitation 520
  • Complementary and alternative medicine 322
Replace Μaria Maridaki with:
Μaria Maridaki Greece
Christopher G. R. Perry Canada
Thorbjörn Åkerström Denmark
Andrew R. Judge United States
Søren Nielsen Denmark
Nicholas P. Greene United States
Charles Gobelet Switzerland
Lorenza Brocca Italy
Eiji Isotani Japan
Martin Whitham United Kingdom
Kate T. Murphy relative to Μaria Maridaki Greece Μaria Maridaki's profile →
Citations per field
00.5×
Μaria Maridaki · 1×
Citations per year

Countries citing papers authored by Kate T. Murphy

Since Specialization
Citations

This map shows the geographic impact of Kate T. Murphy'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 Kate T. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate T. Murphy more than expected).

Fields of papers citing papers by Kate T. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate T. Murphy. 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 Kate T. Murphy. The network helps show where Kate T. Murphy may publish in the future.

Co-authorship network of co-authors of Kate T. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Kate T. Murphy. A scholar is included among the top collaborators of Kate T. Murphy 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 Kate T. Murphy. Kate T. Murphy 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 5
2 1
3 1
4 3
5 4
6 33
7 150
8 15
9 32
10 6
11 81
12 46
13 61
14 22
15 17
16 11
17 54
18 16
19 29
20 57

About Kate T. Murphy

Kate T. Murphy is a scholar working on Rehabilitation, Complementary and alternative medicine and Cell Biology, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Muscle metabolism and nutrition (14 papers) and Cardiovascular and exercise physiology (12 papers). The work is most often cited by research in Rehabilitation (520 citations), Complementary and alternative medicine (322 citations) and Physiology (993 citations). Kate T. Murphy has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Gordon S. Lynch, Michael J. McKenna, Aaron C. Petersen, Annabel Chee, Timur Naim, René Koopman, Jennifer Trieu, Simon Sostaric, Malcolm J. Brown and Ivan Medved. Their work appears in journals such as SHILAP Revista de lepidopterología, Circulation Research and The Journal of Physiology.

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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