R.F. Murphy

27 papers receiving 817 citations

Peers

R.F. Murphy
Comparison fields: 5 of 92
  • Cell Biology 241
  • Physiology 42
  • Molecular Biology 536
  • Cellular and Molecular Neuroscience 100
  • Biophysics 22
Replace Elisabeth P.C. Kilsdonk with:
Elisabeth P.C. Kilsdonk Netherlands
Xing‐Mai Jiang Australia
Takao Inoué Japan
Colleen B. Brewer United States
Mohamed Kodiha Canada
Peter A. Leventis Canada
Anuradha S. Raghavan United States
Yanliang Zhang China
Jack A. Lucy United Kingdom
Ché S. Pillay South Africa
R.F. Murphy relative to Elisabeth P.C. Kilsdonk Netherlands Elisabeth P.C. Kilsdonk's profile →
Citations per field
00.5×1.5×2×
Elisabeth P.C. Kilsdonk · 1×
Citations per year

Countries citing papers authored by R.F. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by R.F. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989205
2 1989163
3 198772
4 199164
5 198558
6 200158
7 199350
8 198842
9 198937
10
Endosomes can undergo an ATP-dependent density increase in the absence of dense lysosomes.
199027
11 198917
12 200816
13 198110
14 19835
15 19885
16 19875
17 19863
18 20082
19 19872
20 19872

About R.F. Murphy

R.F. Murphy is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Oncology and Epidemiology, having authored 28 papers that have together received 850 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Neuropeptides and Animal Physiology (5 papers), Lipid Membrane Structure and Behavior (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Lung Cancer Research Studies (2 papers), Pancreatitis Pathology and Treatment (2 papers), Chemical Synthesis and Analysis (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cell Biology (241 citations), Physiology (42 citations), Molecular Biology (536 citations), Cellular and Molecular Neuroscience (100 citations) and Biophysics (22 citations). R.F. Murphy has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Elizabeth W. Jones, Robert A. Preston, David M. Sipe, J. NELSON, Sándor Lovas, Chris Shaw, BRIAN J. WALKER, DG Poplack, Frank M. Balis and Peter C. Adamson. Their work appears in journals such as Regulatory Peptides, Proceedings of the National Academy of Sciences, Prostate Cancer and Prostatic Diseases, British Journal of Cancer and The Journal of Cell Biology.

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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