Jane Murphy

1.2k citations
19 papers · 993 · h-index 14

Impact in

    • 14-3-3 protein interactions
    • Ubiquitin and proteasome pathways
    • Metabolism, Diabetes, and Cancer
    • Receptor Mechanisms and Signaling
    • Inflammasome and immune disorders

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • 14-3-3 protein interactions 4
    • Receptor Mechanisms and Signaling 4
    • Ubiquitin and proteasome pathways 2
    • Ion Transport and Channel Regulation 2

Jane Murphy

19 papers receiving 978 citations

Peers

Jane Murphy
Comparison fields: 5 of 93
  • Molecular Biology 672
  • Dermatology 64
  • Immunology 139
  • Nephrology 44
  • Cell Biology 98
Replace Hailin Zhang with:
Hailin Zhang China
K Isobe Japan
Pal Göőz United States
Sreedharan Kartha United States
Takashi Ohama Japan
G.J. Brunn United States
Neelakshi R. Jog United States
Tong Shi China
Antonios N. Gargalionis Greece
John K. Sullivan United States
Jane Murphy relative to Hailin Zhang China Hailin Zhang's profile →
Citations per field
00.5×6.3×
Hailin Zhang · 1×
Citations per year

Countries citing papers authored by Jane Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Jane Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007164
2 2003159
3 201998
4 200291
5 201372
6 200965
7 200558
8 201256
9 199952
10 200952
11 201333
12 201428
13 201522
14 201120
15 19999
16 20108
17 20014
18
Necroptosis is activated in and drives pathogenesis of COPD
20191
19 20121

About Jane Murphy

Jane Murphy is a scholar working on Molecular Biology, Immunology, Surgery, Nephrology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 993 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), 14-3-3 protein interactions (4 papers), Receptor Mechanisms and Signaling (4 papers), Ubiquitin and proteasome pathways (2 papers), Ion Transport and Channel Regulation (2 papers), Microtubule and mitosis dynamics (2 papers), Contact Dermatitis and Allergies (2 papers) and Occupational exposure and asthma (2 papers). The work is most often cited by research in Molecular Biology (672 citations), Dermatology (64 citations), Immunology (139 citations), Nephrology (44 citations) and Cell Biology (98 citations). Jane Murphy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Joanna M. Woodcock, Angel F. López, Carol MacKintosh, Rachel Toth, Nick Morrice, J. Ferguson, Michael C. Berndt, Frank C. Stomski, Shuai Chen and David G. Campbell. Their work appears in journals such as Journal of Biological Chemistry, Contact Dermatitis, British Journal of Dermatology, Pflügers Archiv - European Journal of Physiology and American Journal Of Pathology.

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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