Sara C. Murphy

1.2k total citations
9 papers, 885 citations indexed

About

Sara C. Murphy is a scholar working on Molecular Biology, Oncology and General Health Professions. According to data from OpenAlex, Sara C. Murphy has authored 9 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in General Health Professions. Recurrent topics in Sara C. Murphy's work include Cancer therapeutics and mechanisms (3 papers), Lung Cancer Research Studies (3 papers) and Geriatric Care and Nursing Homes (2 papers). Sara C. Murphy is often cited by papers focused on Cancer therapeutics and mechanisms (3 papers), Lung Cancer Research Studies (3 papers) and Geriatric Care and Nursing Homes (2 papers). Sara C. Murphy collaborates with scholars based in United States and Australia. Sara C. Murphy's co-authors include Charles M. Rudin, Ming Zhao, Barbara Coleman, Frank P. Vendetti, John Wrangle, Stephen B. Baylin, Craig M. Hooker, Beverly Lee, Noreli Franco and Michelle A. Rudek and has published in prestigious journals such as Cancer Research, Journal of the American Geriatrics Society and Cancer Discovery.

In The Last Decade

Sara C. Murphy

9 papers receiving 875 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara C. Murphy United States 5 720 268 161 88 87 9 885
Jyotsna Reddy United States 10 704 1.0× 278 1.0× 172 1.1× 116 1.3× 103 1.2× 11 901
Debottam Sinha Australia 14 426 0.6× 296 1.1× 120 0.7× 137 1.6× 104 1.2× 28 783
Ukhyun Jo United States 20 782 1.1× 458 1.7× 148 0.9× 71 0.8× 115 1.3× 44 984
Yogesh Tengarai Ganesan United States 7 555 0.8× 182 0.7× 106 0.7× 80 0.9× 120 1.4× 8 719
Hui Lyu China 16 641 0.9× 469 1.8× 282 1.8× 69 0.8× 128 1.5× 33 998
Samuel J. Vidal United States 7 473 0.7× 308 1.1× 217 1.3× 73 0.8× 164 1.9× 12 798
Christina K. Augustine United States 15 401 0.6× 380 1.4× 93 0.6× 121 1.4× 67 0.8× 22 683
Annemarie Larkin Ireland 18 477 0.7× 318 1.2× 148 0.9× 72 0.8× 60 0.7× 32 770
Anne Keating United States 13 638 0.9× 409 1.5× 115 0.7× 130 1.5× 192 2.2× 26 899
Rachel Abbotts United Kingdom 13 822 1.1× 418 1.6× 133 0.8× 45 0.5× 67 0.8× 18 964

Countries citing papers authored by Sara C. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Sara C. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara C. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Sara C. Murphy. A scholar is included among the top collaborators of Sara C. 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 Sara C. Murphy. Sara C. Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Murphy, Sara C., et al.. (2024). Equitable outreach: Leveraging a university–community partnership for fall prevention training with older adults in rural Texas. Gerontology & Geriatrics Education. 46(3). 431–443. 1 indexed citations
2.
Murphy, Sara C., et al.. (2024). Primary care and community partnerships to promote age‐friendly care for Hispanic older adults. Journal of the American Geriatrics Society. 72(S3). S47–S55. 2 indexed citations
3.
Murphy, Sara C., et al.. (2023). Lessons Learned from Age-Friendly, Team-Based Training. Geriatrics. 8(4). 78–78. 1 indexed citations
4.
Burns, Timothy F., Irina Dobromilskaya, Sara C. Murphy, et al.. (2013). Inhibition of TWIST1 Leads to Activation of Oncogene-Induced Senescence in Oncogene-Driven Non–Small Cell Lung Cancer. Molecular Cancer Research. 11(4). 329–338. 51 indexed citations
5.
Zinn, Rebekah L., Eric E. Gardner, Luigi Marchionni, et al.. (2013). ERK Phosphorylation Is Predictive of Resistance to IGF-1R Inhibition in Small Cell Lung Cancer. Molecular Cancer Therapeutics. 12(6). 1131–1139. 33 indexed citations
6.
Juergens, Rosalyn A., John Wrangle, Frank P. Vendetti, et al.. (2011). Combination Epigenetic Therapy Has Efficacy in Patients with Refractory Advanced Non–Small Cell Lung Cancer. Cancer Discovery. 1(7). 598–607. 498 indexed citations
7.
Baggstrom, Maria Q., Yingwei Qi, Marianna Koczywas, et al.. (2011). A Phase II Study of AT-101 (Gossypol) in Chemotherapy-Sensitive Recurrent Extensive-Stage Small Cell Lung Cancer. Journal of Thoracic Oncology. 6(10). 1757–1760. 133 indexed citations
8.
Hann, Christine L., Vincent C. Daniel, Elizabeth A. Sugar, et al.. (2008). Therapeutic Efficacy of ABT-737, a Selective Inhibitor of BCL-2, in Small Cell Lung Cancer. Cancer Research. 68(7). 2321–2328. 162 indexed citations
9.
Post, Karen W., et al.. (1999). Evaluation of a Commercial System for the Identification of Ornithobacterium Rhinotracheale. Journal of Veterinary Diagnostic Investigation. 11(1). 97–99. 4 indexed citations

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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