Connor Murphy

433 citations
20 papers · 306 · h-index 10

Impact in

    • Legionella and Acanthamoeba research
    • Vibrio bacteria research studies
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Protein Degradation and Inhibitors 2
    • Chemokine receptors and signaling 3
    • Drug Transport and Resistance Mechanisms 3

Connor Murphy

19 papers receiving 305 citations

Peers

Connor Murphy
Comparison fields: 5 of 69
  • Endocrinology 47
  • Hematology 75
  • Cancer Research 49
  • Rehabilitation 22
  • Orthopedics and Sports Medicine 27
Replace Jaesung Seo with:
Jaesung Seo South Korea
John D. Mata United States
Pietro Delfino Italy
Rucai Zhan China
Linlin Xu China
Juanxia Meng China
Takahiro Seno Japan
Xianrui Wu China
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Citations per field
00.5×5.4×
Jaesung Seo · 1×
Citations per year

Countries citing papers authored by Connor Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Connor Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202066
2 202132
3 201732
4 201926
5 201526
6 202325
7 199122
8 201920
9 201716
10
TGF beta regulation of epithelial cell proliferation: role of tumor suppressor genes.
199112
11 20178
12 20215
13 20204
14 20253
15 20212
16 20212
17 20212
18 20202
19 20201
20 20210

About Connor Murphy

Connor Murphy is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Hematology, having authored 20 papers that have together received 306 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Multiple Myeloma Research and Treatments (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Chemokine receptors and signaling (3 papers), Legionella and Acanthamoeba research (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Endocrinology (47 citations), Hematology (75 citations), Cancer Research (49 citations), Rehabilitation (22 citations) and Orthopedics and Sports Medicine (27 citations). Connor Murphy has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michaela R. Reagan, Ralph R. Isberg, Heather Fairfield, Mark E. T. Willems, Mariah Farrell, Matthew D. Cook, Carolyne Falank, Lucy Liaw, Samantha Costa and Heather Driscoll. Their work appears in journals such as Blood, Cancer Research, Molecular Oncology, Infection and Immunity and European Journal of Cancer.

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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