Sandra Murphy

1.2k citations
43 papers · 854 · h-index 20

Impact in

    • Muscle metabolism and nutrition
    • Biotin and Related Studies
    • Exercise and Physiological Responses

Papers in

Sandra Murphy

42 papers receiving 846 citations

Peers

Sandra Murphy
Comparison fields: 5 of 75
  • Cell Biology 360
  • Rehabilitation 100
  • Hematology 106
  • Molecular Biology 643
  • Physiology 215
Replace Nina Raben with:
Nina Raben United States
Evan Boetticher United States
Joonseok Cho United States
Federica Chianale Italy
A. Thomas Kovala Canada
Mohammed Sharif United States
K Ii Japan
Nicole Taub Austria
Akinori Hishiya Japan
Anne Briolay France
Sandra Murphy relative to Nina Raben United States Nina Raben's profile →
Citations per field
00.5×10.6×
Nina Raben · 1×
Citations per year

Countries citing papers authored by Sandra Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199865
2 201644
3 201544
4 201537
5 200337
6 199537
7 201836
8 201635
9 201734
10 201834
11 201933
12 201633
13 202133
14 201732
15 201532
16 201927
17 201527
18 201826
19 201525
20 202222

About Sandra Murphy

Sandra Murphy is a scholar working on Molecular Biology, Cell Biology, Physiology, Spectroscopy and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 854 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (26 papers), Adipose Tissue and Metabolism (11 papers), Biotin and Related Studies (10 papers), Muscle metabolism and nutrition (10 papers), Advanced Proteomics Techniques and Applications (8 papers), Exercise and Physiological Responses (6 papers), Cardiomyopathy and Myosin Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Cell Biology (360 citations), Rehabilitation (100 citations), Hematology (106 citations), Molecular Biology (643 citations) and Physiology (215 citations). Sandra Murphy has collaborated with scholars based in Ireland, Germany and United Kingdom. Frequent co-authors include Kay Ohlendieck, Dieter Swandulla, Margit Zweyer, Paul Dowling, Rustam R. Mundegar, Michael Henry, Paula Meleady, Derek Middleton, Martin D. Curran and Ashling Holland. Their work appears in journals such as Data in Brief, Journal of Proteomics, International Journal of Molecular Medicine, Clinical Proteomics and Journal of Muscle Research and Cell Motility.

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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